Benchmark IT - Technology Talent

Vice President, AI Engineer -  Full Time - Hybrid About the Role Our client, a leading NYC fintech firm, is hiring a VP Artificial Intelligence Engineer to lead the design, development and delivery of production-grade AI systems that drive measurable business outcomes across the firm. This individual will own key workstreams and serve as a technical leader, driving system design, mentoring engineers, partnering directly with business stakeholders and ensuring that AI capabilities are built to production-grade standards of reliability, scalability, and measurability. Responsibilities

• Lead the architecture and delivery of production AI systems, including document intelligence (IDP), intelligent knowledge systems, agentic orchestration, conversational AI and generative AI applications.
• Own AI projects end-to-end, from problem scoping and stakeholder alignment through solution design, implementation, deployment, monitoring and continuous improvement.
• Drive technical design and architectural decisions for the team, including API design, system decomposition, evaluation strategy and infrastructure patterns, establishing standards that raise the quality bar across the AI/ML platform.
• Architect and champion robust evaluation frameworks for AI systems, defining statistically sound, problem-specific metrics, curating benchmark datasets and enforcing strict versioning to ensure reproducibility and continuous improvement.
• Partner directly with cross-functional stakeholders, including the Product, Operations, Legal, and Business teams, to identify AI opportunities, translate requirements into technical plans, and communicate tradeoffs, risks, and recommendations clearly.
• Mentor and develop engineers on the team through code review, design review, pair problem-solving, and knowledge sharing, acting as a technical role model and raising the overall capability of the group. 

Qualifications

• 7+ years of experience developing and deploying production AI/ML systems, including cloud-native solutions on AWS or similar platforms, with a proven track record of delivering complex applications from design through production.
• Strong proficiency in Python and software engineering best practices, including source control, CI/CD, testing, documentation, and the development of scalable, maintainable software
• Deep expertise building production AI solutions, including LLM applications, AI agents, retrieval-augmented generation (RAG), conversational AI, document intelligence, and agentic workflows, with hands-on experience using modern AI frameworks, tooling, and protocols such as MCP and A2A.
• Experience designing, deploying and operating end-to-end machine learning pipelines, including model training, deployment, monitoring, evaluation, and continuous improvement in production environments.
• Strong foundation in statistics, experimentation, data quality, and AI system evaluation, with experience developing benchmarks, defining performance metrics, analyzing errors, and optimizing systems for accuracy, reliability, scalability, cost, and latency
• Experience leading technical design and architectural decisions, conducting code and design reviews, mentoring engineers and driving engineering excellence across teams
• Excellent written and verbal communication skills, with the ability to document technical solutions, collaborate with cross-functional stakeholders, and communicate complex concepts to both technical and non-technical audiences
• Experience in financial services or FinTech, particularly within document-heavy, regulated, or compliance-sensitive environments is highly preferred.

Benefits

• The base salary range for this role is $170,000 to $210,000 plus bonus and equity. 
• Hybrid schedule: in office Monday–Thursday with the flexibility to work remotely on Friday.

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Client Delivery Specialist - Associate - Full Time - Hybrid About the Role We’re partnering with our client, a fast-growing fintech firm, on a Client Delivery Specialist to join its Data Solutions Team. This role sets up and maintains the financial software applications the firm utilizes, assists clients with issues, works on special projects, and helps with ad-hoc tasks tied to building an innovative company. This position is a mix of finance and technology, ideal for someone who wants to grow their career at the intersection of both. Responsibilities

• Support financial reporting and data aggregation tools, including analyzing and explaining portfolio performance results
• Conduct account-level reconciliation, including research and resolution of breaks, cancels, and corrections
• Perform analysis of private equity and hedge fund statements for input into the system
• Work with clients and partners to resolve data issues
• Help manage client onboarding, account setup and training, and day-to-day support and issue management
• Perform system setup and configuration, new client setup, and new financial account/asset classification
• Assist with data feed management
• Create custom reports based on client-specific needs and liaise with vendor partners on enhancements and system/data issues
• Work as part of a team to prioritize individual and shared work, ensuring projects are completed on time and to specification
• Support the development and adoption of policies, procedures, and controls

Qualifications

• 3–5 years of experience in a related field
• Bachelor's degree from an undergraduate program
• Excellent customer service skills and the ability to foster and maintain effective relationships
• Strong understanding of financial instruments
• Experience with RIA/wealth management policies, procedures, and client service
• Experience working with wirehouses or custodians
• Organized and self-motivated, with the ability to prioritize tasks and meet deadlines
• Experience with Addepar, Black Diamond, Axys, APX, Orion, Archway, Solovis, Masttro, or similar wealth management platforms
• Experience with planning tools such as eMoney, MoneyGuidePro, or similar software
• Strong MS Excel and PowerPoint skills; basic knowledge of database concepts and programming
• Working knowledge of Photoshop, HTML design, or similar tools a plus
• Knowledge of financial products and indices, including liquid investments (equities, bonds, ETFs, mutual funds, SMA/UMA) and alternative investments
• Understanding of performance reporting calculations and methodologies, portfolio management and rebalancing, and how family offices, RIAs, and investment advisors operate
• Strong critical thinking and problem-solving skills, with the ability to summarize information clearly and concisely, written and verbal
• Quick learner, able to adapt to an expanding environment

Compensation & Benefits This role offers a competitive compensation package including base salary, equity for all full-time employees, and an annual performance bonus. Benefits include an employer-matched retirement plan, generously subsidized healthcare with 100% employer-paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). Employees in this role work in the office Monday–Thursday, with the flexibility to work remotely on Friday. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

Lead Azure Application Support Engineer

Long-term contract position | Global, cutting-edge Azure applications

We are seeking senior application engineers to support sophisticated Azure-based applications used by a global organization. Long-term (24 mo +) contracts, Hybrid 3 days/week onsite (Tue, Wed, Thurs).

These are hands-on technical roles—not help-desk or traditional support-management positions. You will solve difficult production problems, guide a distributed onshore/offshore support team, and work closely with application development and program leadership to improve reliability and performance.

What You’ll Do

• Lead the investigation and resolution of complex Azure application issues.

• Troubleshoot problems across the user interface, application services, integrations, databases, and Azure PaaS environment.

• Use Application Insights, Azure Monitor, and KQL to diagnose performance issues, errors, and unexpected application behavior.

• Coordinate major incident response, identify root causes, and ensure permanent corrective actions are completed.

• Provide technical direction to onshore and offshore support resources.

• Work closely with developers on application changes, releases, fixes, and production readiness.

• Improve support processes, monitoring, technical documentation, and team effectiveness.

What We’re Looking For

• Strong hands-on experience supporting Azure-based enterprise applications in production.

• Ability to troubleshoot across multiple application layers—not simply route or manage tickets.

• Experience with Azure PaaS services, Application Insights, Azure Monitor, and KQL.

• Working knowledge of application performance, APIs, integrations, networking, and cloud infrastructure.

• Familiarity with Cosmos DB or PostgreSQL is helpful.

• Experience leading distributed technical teams and holding internal and external resources accountable.

• Calm, methodical problem-solving skills during critical incidents.

• Strong communication, ownership, and empathy for application users.

• Experience supporting applications within a large, global organization is strongly preferred.

Any experience supporting applications that use Azure OpenAI, generative AI, or related AI services is helpful.

Azure certifications, ITIL experience, and a computer science degree are helpful but not required.

Why Consider This Role?

You’ll support modern, highly visible applications within a global enterprise, work with advanced Azure and AI technology, and have the authority to improve how critical applications are supported. These are stable, long-term assignments offering both challenging hands-on work and meaningful technical leadership.

Work authorization: Candidates must be authorized to work in the United States without current or future sponsorship.

 

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Our direct client, based in White Plains, NY, is seeking a Senior Java Developer who embraces AI-augmented development practices. You will be a part of the transformational journey to deliver best in class systems to support company's business lines, across all channels. The Senior Developer is to collaboratively drive the development and support of client's critical business systems for internal and external systems, while leveraging AI tools to enhance productivity and code quality. This role requires deep technical knowledge of high volume and highly transactional systems. Hybrid working model, 4 days per week on site is expected. Responsibilities:

• Collaborate with Product Owners, QA, PMO, DevOps and other developers to define requirements, design, and develop mission critical applications
• Utilize AI development tools to enhance coding efficiency, code review, testing, and documentation processes
• Analyze, design and develop application solutions and enhancements that meet requirements
• Ensure adherence to programming and enterprise architectural standards
• Complete work assignments and perform appropriate follow up to ensure that tasks are completed on time
• Collaborate with product owners, application users, creative team and other developers to define requirements, design, and develop the web application
• Assist in the rollout of new applications, problem fixes, and enhancements of software
• Work alongside AI-enthusiastic technical leads to continuously improve development workflows

Qualifications:

• Undergraduate degree in computer science, engineering or similar field (or equivalent experience)
• 5+ years programming with Java (backend development focus), JEE, Web Services
• Experience with webservice/API development using Java-based enterprise technologies and tools using Java 8 and above, Microservices architecture, Spring and REST
• Must be able to code in prevailing technologies including Java, Spring, SQL including conceptual knowledge with cloud native solutions from AWS
• Proven abilities delivering code with CI/CD development methodologies
• Experience with modern development tools (ideally Eclipse/Intellij, Git, Maven, CI servers, Azure DevOps (or other tools), code review tools)
• Knowledge of Domain-Driven Design concepts and designing and developing Microservices using the Spring ecosystem
• Knowledge of developing Spring Data access application with AWS RDS or NoSQL data stores
• Conceptual Experience with API design and implementation
• Conceptual Knowledge with container orchestrators and container engines (Docker, AWS ECS)
• Analytical, problem-solving mindset
• Self-driven with minimal supervision
• Experience working on a production-critical system
• Openness to learning and integrating AI tools into development workflow

Preferred Qualifications:

• Experience augmenting development with AI tools (e.g., Amazon Q, GitHub Copilot, or similar platforms) for code generation, review, and optimization
• Experience with developing within a Cloud environment with good knowledge of cloud infrastructure like AWS is a plus
• Python scripting experience
• Angular experience strongly preferred for any frontend development needs
• Experience with ecommerce, retail, and financing is a plus

Apply today for immediate consideration! This is an immediate interview and hire opportunity, and an on-site interview at the White Plains, NY office will be required.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

IT Director Our direct client, a growing Private Equity firm seeks an experienced IT Director to assess, refine, and elevate their entire technology function. This is a newly created leadership role for a firm that is scaling rapidly, preparing for increased operational and regulatory demands, and viewing technology as a key lever for growth across the business. The successful candidate will be hands-on, highly articulate, and comfortable advising senior leadership. This individual will be both a builder and a doer—while also operating as a technical expert. The IT Director will own the IT function, develop a forward-looking technology “playbook,” and work cross-functionally to drive measurable outcomes across finance, compliance, investment, and operational teams. Responsibilities • Lead key technology initiatives, including onboarding and integration of new platforms and optimization of existing systems, with particular focus on implementation of a firm-wide data warehouse, enabling front-office investment processes, portfolio monitoring, and investor data management. • Ensure technology, processes, and controls align with SEC requirements, investor expectations, and industry best practices; play a key role during fund raising in supporting LP diligence, including drafting and responding to DDQs and participating directly in investor conversations. • Conduct a comprehensive assessment of the current IT environment, including MSP performance, cloud infrastructure, information security programs, data architecture, and application ecosystem; deliver a prioritized roadmap for improvement and remediation. • Lead vendor and product (e.g., CRM, investment management systems, compliance platforms, security tools) evaluations and due diligence, with a focus on scalability, integration, and long-term value. • Review and strengthen cybersecurity programs (MFA, data-loss protection, email security, backup policies, endpoint protection, identity/access management), elevating the firm toward a best-in-class security posture. • Partner closely with firm leadership (including Finance, Portfolio Operations, Legal/Compliance, and Investment teams) to assess needs, prioritize initiatives, and execute solutions across areas such as investor relations, fund accounting, legal entity management, and reporting. Required Experience & Skills • Experience working within a private equity firm is strongly preferred • 10–20+ years of experience in IT, including demonstrated success owning or leading the technology function in a growing organization (80+ users). • Proven experience operating in a build-and-scale environment, assess and create clarity, define a roadmap, align stakeholders, and execute. • Familiarity with RIA/SEC regulatory requirements, investor due diligence processes, and hands-on experience responding to DDQs and supporting fundraising activities. • Experience contributing to or leading data architecture and integration initiatives, including data warehouse design and establishing a “single source of truth.” • Understanding of AI-related workflows and emerging use cases within financial services. • Strong background managing and evaluating MSP providers, including holding vendors accountable and driving improvements beyond standard SOW constraints. • Experience administering and enhancing a cybersecurity program, including Incident response planning, vendor risk management, SOC2 and related control frameworks, pen testing processes, remediation planning, and implementing security controls in regulated environments.

• Hands-on knowledge of common financial-services technologies, such as:

  • Microsoft 365 (SharePoint, OneDrive, Teams, Office 365)

  • Microsoft Azure

  • Financial platforms i.e. Netsuite

  • CRM and Deal Pipeline Platforms

  • Data/analytics and investment platforms

  • Compliance platforms

  • Email security tools, Identity /Access Management

• Strong verbal communication skills.  Capable of clearly explaining technical concepts to non-technical stakeholders and influencing senior leadership and investors. • Self-starter with a low-ego, high-impact mindset; able to “figure it out,” bring people along, and operate effectively in a highly collaborative environment.

This role is hybrid on-site. 4 days per week, in the Midtown Manhattan office.  

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

Overview

Our direct client seeking a hands-on Director of Enterprise Systems to lead and evolve their technology environment while helping drive the next phase of growth through automation, AI, and business-focused technology initiatives.

This role serves as a strategic partner to leadership, aligning systems, vendors, and technology investments with business priorities. The ideal candidate combines strong technical and infrastructure expertise with the ability to identify opportunities where technology, automation, and AI can improve efficiency, decision-making, and execution across the organization.

This is a highly visible role within a lean team environment. Success requires both strategic thinking and a willingness to roll up your sleeves to help solve complex technology challenges when needed.

Responsibilities Technology Strategy & Business Enablement

• Own and execute the organization's technology strategy, aligning initiatives with business goals and long-term growth objectives
• Partner closely with leadership to identify opportunities to improve operational efficiency, decision-making, and execution through technology
• Evaluate emerging technologies, automation opportunities, and AI solutions that can create measurable business value
• Develop and drive an AI adoption roadmap, identifying practical use cases and ensuring successful implementation across the organization
• Communicate technology initiatives, priorities, and ROI to executive leadership

Systems, Automation & Innovation

• Own the lifecycle of core business systems, including evaluation, implementation, integration, enhancement, and optimization
• Lead automation initiatives that reduce manual processes and improve operational performance
• Ensure systems architecture supports scalable growth and future AI capabilities
• Continuously assess and improve technology platforms to support evolving business needs

IT Operations & Infrastructure

• Provide oversight of infrastructure, cloud platforms, networks, and enterprise systems to ensure reliability, performance, and scalability
• Lead resolution of complex technology issues and critical business-impacting incidents
• Partner with technical staff and vendors to maintain secure and efficient operations
• Maintain disaster recovery and business continuity capabilities

Cybersecurity & Risk Management

• Develop and maintain cybersecurity policies, controls, and risk management practices
• Support compliance initiatives, audits, and security assessments
• Ensure technology environments follow industry best practices for security and governance

Vendor Management & Governance

• Manage relationships with technology vendors, service providers, and external partners
• Evaluate vendor performance, negotiate contracts, and ensure alignment with business objectives
• Manage technology budgets with a focus on ROI and business impact
• Establish technology standards, documentation, and governance processes

Qualifications

• 5-10 years of progressive experience leading technology initiatives, enterprise systems, infrastructure, or IT operations
• Demonstrated experience implementing automation, AI, or digital transformation initiatives that delivered measurable business outcomes
• Strong knowledge of Microsoft 365, Azure, enterprise applications, and hybrid cloud environments
• Experience evaluating, selecting, implementing, and optimizing business systems and technology platforms
• Solid understanding of infrastructure, networking, cybersecurity, and identity management
• Experience managing vendors, technology budgets, and third-party service providers
• Familiarity with IT service management and project delivery methodologies
• Relevant technical certifications are a plus

What We're Looking For

• A hands-on technology leader who enjoys building solutions, not just managing them
• Strong communicator who can work effectively with technical teams, business stakeholders, and executive leadership
• Comfortable operating in a fast-moving environment where priorities can evolve and decisions must be made with incomplete information
• Confident and collaborative, with the ability to influence without creating friction
• Naturally curious about emerging technologies and passionate about using AI and automation to solve business challenges
• Organized, adaptable, and capable of managing multiple priorities simultaneously

Apply today for immediate consideration! This is an immediate interview and hire opportunity

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

Our direct client, a global professional-services firm, is building autonomous AI agents for use in regulated financial work. They need a hands-on lead to design the independent verification layer. It sits outside the agent teams and decides whether an agent's behavior can be relied on. The client's position is that trust is the product: every result must be traceable to its evidence, and every limit must be documented. You build the system that tries to break, measure, and certify the agents. You don't build the agents themselves. Note: this work can be performed from home, anywhere in the US (most meetings will be on East Coast time).   It is also open as a full-time salaried position as an alternative to long-term contract.   What you'll do

• Design the "referee" system. Build repeatable, isolated test environments in which agents act against simulated tools that keep their own state. Wire the results into release pipelines so a failing score blocks a ship decision. The referee's own outputs (scores, evidence, verdicts) must be versioned and able to withstand outside scrutiny.
• Decide what "correct" means for multi-step work. Static benchmarks aren't enough. You'll define how to judge:
  • whether numbers and facts match known-true data, including a tolerance for what counts as a meaningful error rather than a trivial one
  • the whole journey of a run: how it planned, which tools it chose, how it recovered from mistakes, and whether it wandered from its goal
  • whether each conclusion can be followed back to the specific source that supports it
  • whether behavior stays within accounting and regulatory rules
  • whether the measurements themselves are statistically sound, including how many runs are enough, how to separate real regressions from noise, and the difference between "succeeds at least once in k tries" and "succeeds every time in k tries"
• Lead the team. Set the technical direction, mentor engineers, and set the standard for the test infrastructure.
• Build and calibrate model-based graders. When one AI grades another, you'll measure how often it agrees with human reviewers, check it for bias, and watch it for drift over time.
• Treat test suites as products. That means sealed "never-trained-on" reference sets, manufactured hard cases, a written pass/fail agreement for each agent capability, and tripwires that catch quiet performance decay.
• Connect lab results to real life. Show whether pre-release scores actually predict production behavior, and route production failures back into the test sets.
• Attack the agents. Probe for hidden instructions smuggled in through tool outputs, privilege creep, data leakage, and agents gaming their own scoring.

Must have:

• BS/MS in CS, engineering, statistics, or similar
• 7+ years of software engineering on complex, enterprise-grade systems
• 2+ years as a technical lead or architect
• Strong Python, plus working experience with at least one framework for orchestrating LLM-based agents
• You've shipped verification infrastructure for long-running, tool-using agents where the results actually decided release outcomes
• Deep experience automating test or ML-operations pipelines at scale (containers, orchestration, continuous delivery)
• Solid grasp of LLMs, retrieval-based systems, and agent architectures

Nice to have:

• Regulated-industry background (audit, accounting, fintech, regtech)
• Building systems where decisions must be explainable and auditable
• Security and privacy compliance exposure
• Testing systems with multiple cooperating agents, especially where handoffs fail
• Hands-on use of public agent benchmarks or evaluation tooling (tell us which, and what you'd change)

Immediate interview and start - send resume today for immediate consideration!  

Our direct client, based in White Plains, NY, is seeking an AI-forward Technical Lead who leverages cutting-edge AI tools to transform software development processes. This is a long-term contract position (12-36+ months) with likely extension beyond. This role is a hybrid on-site position and you will be required to work on-site 4 days per week in White Plains, NY.

In this role, the Java Tech Lead will champion the integration of AI into every aspect of the development lifecycle while maintaining responsibility for the overall design, implementation and quality of the code the team produces across one or more projects. You will be expected to proactively identify opportunities to enhance development efficiency, code quality, and team productivity through AI tools and processes. You will partner with IT leadership, architecture, and development staff to establish AI-enhanced vision, strategy and road maps that align with business strategies and organizational priorities. You must collaborate with peers and leadership to leverage AI-driven knowledge and solutions across the organization.

This position is within a development group focused on leading the delivery of best-in-class systems to support client's business lines, across all channels. These include customer and internal applications built on AWS using Microservices Architecture and other AWS components that integrate with existing on-prem systems and databases.

Organizational Relationships:

The Technical Lead reports to the Director of Development and is accountable for daily status on tech design, development, and resource management. The Lead will collaborate with team members to define requirements, design, and develop mission critical applications while continuously exploring and implementing AI-enhanced workflows.

The Technical Lead works with:

• Delivery leads to staff projects with associates, contractors, and/or third party teams
• Project managers on a plan and estimates
• Architecture and delivery leads on solution blueprints
• QA and delivery leads on functional testing, integration testing, performance testing and to triage defects
• Service introduction on hand-off to application operations team

Qualifications:

• Proven experience utilizing AI tools for Java software development including code generation, review, documentation, testing, and debugging (e.g., Amazon Q, GitHub Copilot, or similar platforms)
• Proactive, self-directed mindset for identifying and implementing AI-driven process improvements without waiting for top-down directives
• Strong prompt engineering skills and commitment to continuous exploration of emerging AI tools to enhance development workflows
• 8+ years experience in Java backend development demonstrating increasing levels of responsibility
• Experience leading a team of 3 or more software developers and mentoring them in AI-enhanced development practices
• Bachelor's degree in computer science or equivalent experience
• Experience producing solution designs for large-scale, highly available, mission-critical systems
• Proficient in designing, creating and consuming Web Services (REST, JSON, OAuth), multi-tier or microservice applications in Java and large scale database applications
• Strong experience in SQL and data modeling
• Demonstrate sound architecture skills and broad experience designing applications
• Ability to communicate complex technical design concepts and translate into non-technical business solutions
• Able to communicate well with all levels in the organization, and must be comfortable as a primary contact to internal and external customers
• Excellent oral and written communication skills
• Experience in Agile, Waterfall and other software development methodologies

Preferred Qualifications:

• Experience with developing within a Cloud environment with good knowledge of cloud infrastructure like AWS is a plus
• Hands-on experience with Amazon Q and Hero (current company AI tools)
• Python scripting experience
• Angular experience strongly preferred for any frontend development needs
• Experience with ecommerce, retail, and financing is a plus

To ensure a fair and secure hiring process, candidates must complete live video interviews with cameras on and present valid government-issued identification during the process. All interviews are conducted directly with our internal team - proxy interviewing is not permitted.

Apply today for immediate consideration! This is immediate, interview and hire.

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/

SVP, Lead AI/MLOps Infrastructure Engineer – Full Time – Hybrid We’re partnering with our client, a fast-growing fintech firm, on a senior-level hire to lead and own the infrastructure behind their AI and machine learning platforms. This is a highly visible, hands-on leadership role where you’ll own the end-to-end AI/ML platform stack, from training and inference infrastructure to model serving, reliability, and cost, while setting the MLOps roadmap and standards for the team. The priority here is MLOps and AI infrastructure first, built on deep AWS, Terraform, and production ML / GenAI experience. What You’ll Be Doing

• Own the end-to-end AI/ML platform stack: orchestration, compute (including GPU), storage, and model serving
• Build and operate MLOps pipelines across the full model lifecycle: training, validation, versioning, and deployment
• Productionize AI/ML and GenAI (LLM) workloads in partnership with ML engineers and data scientists
• Design and manage cloud-native AWS infrastructure using Kubernetes, and own Infrastructure as Code standards (Terraform)
• Own SLAs/SLOs for model serving and inference; lead monitoring, drift detection, and incident response
• Build internal tooling and standardized environments that boost ML engineer productivity (e.g., MLflow, Kubeflow, Weights & Biases, Ray)
• Drive data governance, privacy compliance, and cost optimization across training and inference workloads
• Set the MLOps roadmap and mentor engineers on infrastructure and MLOps best practices

What They’re Looking For

• 15+ years of experience in DevOps, SRE, or platform engineering, with AWS as primary cloud
• Proven, hands-on experience building and operating MLOps pipelines in production (key priority)
• Experience with MLOps tooling, including model registries, experiment tracking, and feature stores
• Exposure to Generative AI / LLM workloads, including AWS Bedrock
• Strong Infrastructure as Code (Terraform) and scripting skills (Python or similar)
• Solid Linux, systems, and troubleshooting fundamentals
• Excellent communicator, comfortable collaborating across teams

Nice to Have

• Hands-on Kubernetes, containerized workloads, and cloud networking
• Experience in regulated or fintech environments
• Background optimizing costs for compute-intensive (GPU) workloads

Why This Role

• Own and shape the AI platform at a growing fintech
• High-impact leadership role setting MLOps strategy and standards
• Strong compensation: $200K–$230K base + bonus + equity
• Comprehensive benefits, including retirement match and unlimited PTO
• Hybrid model: 4 days onsite / 1 day remote (NYC area)

By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Benchmark IT, LLC and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: https://bmarkits.com/privacy-policy/