Director, Engineering - AI & Data Science Platform

Asset Management Technology is looking for a Director of Engineering to lead a team focused on AI enablement and Data Science platform capabilities across the product area. This leader will manage engineering delivery for platforms and services that enable teams to experiment with, build, deploy, monitor, and scale AI, GenAI, machine learning, and advanced analytics solutions.

This role will provide leadership across the Lumin8 AI enablement ecosystem and the CRISP Data Science Platform. The ideal candidate brings strong engineering leadership, platform product thinking, cloud-native architecture experience, and a passion for enabling technologists, data scientists, quantitative analysts, and business partners to deliver measurable outcomes with responsible, secure, and scalable AI and data science capabilities., * You are a strong engineering leader who can build trust, set clear direction, and create a culture of ownership, inclusion, learning, and high-quality execution.

• You bring platform thinking. You understand how to build reusable capabilities, reduce friction for internal customers, and balance reliability, scalability, usability, and cost.
• You have strong technical judgment across modern software engineering, cloud infrastructure, data science tooling, APIs, automation, security, and operational excellence.
• You are comfortable leading teams that support both innovation and production-grade platforms, including experimentation environments, developer frameworks, model deployment paths, and operational support models.
• You communicate clearly with engineers, data scientists, product owners, architects, risk partners, and senior leaders.
• You are committed to responsible AI, data protection, enterprise controls, and operating within a highly regulated environment.

The Value You Deliver

• Lead the engineering team responsible for AI and Data Science platform capabilities across Lumin8 and CRISP.
• Drive delivery of foundational AI services, developer frameworks, model enablement capabilities, LLM service integrations, embeddings, vector search patterns, and platform support.
• Advance CRISP capabilities for data scientists, engineers, and quantitative analysts, including compute, storage, MDEs, workspaces, model development, deployment, monitoring, and collaboration workflows.
• Partner with product and architecture leaders to define the roadmap for AI, GenAI, ML, and advanced analytics platform enablement.
• Improve developer and data scientist experience through better onboarding, documentation, automation, support, observability, and self-service capabilities.
• Ensure platforms are secure, resilient, compliant, cost-aware, and aligned with enterprise technology standards.
• Coach and develop engineers, create clear delivery accountability, and foster a team culture focused on innovation, craftsmanship, and measurable business value.

The Team

The AI and Data Science Platforms team enables modern AI, GenAI, machine learning, and analytics workflows across Asset Management Technology. The team supports foundational AI capabilities through Lumin8, including developer frameworks, model enablement, AI service integration, embedding and vector capabilities, gateway patterns, onboarding, and support. The team also supports CRISP, the Computing Research and Innovation System Platform, which provides compute, storage, tooling, collaboration, model development, deployment, monitoring, and experimentation capabilities for data scientists, engineers, and quantitative analysts.

The team partners closely with engineering, architecture, data science, security, cloud platform, product, and business stakeholders to deliver reliable, compliant, and easy-to-adopt platform capabilities.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 10 plus years of software engineering, platform engineering, cloud engineering, data science platform, or AI/ML engineering experience.
• 5 plus years of people leadership experience, including coaching engineers, setting direction, managing delivery, and developing talent.
• Experience leading cloud-native platforms and services, preferably in AWS, Kubernetes/EKS, CI/CD, observability, and secure enterprise environments.
• Working knowledge of AI/ML lifecycle capabilities, including experimentation, model development, deployment, monitoring, governance, and support.
• Experience with GenAI enablement patterns, model gateways, API-based AI services, embeddings, vector stores, LLM integrations, and responsible AI controls.
• Strong ability to partner with senior stakeholders, translate business and research needs into platform capabilities, and manage competing priorities across multiple product areas.

Pulled from the full job description

• Loan repayment program
• Tuition reimbursement
• Parental leave
• Paid time off, Fidelity’s Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $126,000-255,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.