Director, Engineering - AI & Data Science Platform

Posted 3 Days Ago
Be an Early Applicant
4 Locations
In-Office
126K-255K Annually
Expert/Leader
Fintech
The Role
Lead engineering delivery for AI and Data Science platform capabilities, enabling experimentation, model development, deployment, monitoring, and scaling. Partner with product, architecture, security, and business stakeholders to define roadmaps, improve developer experience, ensure secure compliant platforms, and coach engineering teams to deliver reliable, scalable, and responsible AI and analytics solutions.
Summary Generated by Built In
Job Description:

Note: Fidelity will not provide immigration sponsorship for this position. 

The Role

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.

The Expertise You Bring

  • 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.

The Skills You Require

  • 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.

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.

Certifications:

Category:Information Technology

Skills Required

  • Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience
  • 10+ years software engineering, platform engineering, cloud engineering, data science platform, or AI/ML engineering experience
  • 5+ years people leadership experience (coaching engineers, managing delivery, developing talent)
  • Experience leading cloud-native platforms and services
  • Experience with AWS
  • Experience with Kubernetes/EKS
  • Experience with CI/CD and observability tooling in secure enterprise environments
  • Working knowledge of AI/ML lifecycle: experimentation, model development, deployment, monitoring, governance, support
  • Experience with GenAI enablement: model gateways, API-based AI services, embeddings, vector stores, LLM integrations, responsible AI controls
  • Strong partnership skills with senior stakeholders to translate business/research needs into platform capabilities

Fidelity Investments Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fidelity Investments and has not been reviewed or approved by Fidelity Investments.

  • Strong & Reliable Incentives Bonuses, commissions, and profit-sharing are presented as generous and meaningful components of total compensation, with certain roles achieving high total earnings through multiple pay streams. Variable pay is consistently framed as a positive contributor beyond base salary.
  • Retirement Support A 401(k) match up to 7% alongside additional profit-sharing up to 10% materially enhances long-term compensation. These retirement features are highlighted as standout strengths of the overall package.
  • Parental & Family Support Generous paid parental leave (16 weeks maternity, 12 weeks parental), backup dependent care, and adoption assistance provide robust family support. Hybrid work and caregiving resources further ease family responsibilities.

Fidelity Investments Insights

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The Company
HQ: Boston, MA
58,848 Employees
Year Founded: 1946

What We Do

At Fidelity, our goal is to make financial expertise broadly accessible and effective in helping people live the lives they want. We do this by focusing on a diverse set of customers: - from 23 million people investing their life savings, to 20,000 businesses managing their employee benefits to 10,000 advisors needing innovative technology to invest their clients’ money. We offer investment management, retirement planning, portfolio guidance, brokerage, and many other financial products. Privately held for nearly 70 years, we’ve always believed by providing investors with access to the information and expertise, we can help them achieve better results. That’s been our approach- innovative yet personal, compassionate yet responsible, grounded by a tireless work ethic—it is the heart of the Fidelity way.

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