Vice President, Generative AI Platform Engineering

Job Description

Note Fidelity will not provide immigration sponsorship for this position

The Role

As the Vice President of Generative AI Platform Engineering you will lead the architecture engineering delivery and operations of the firms enterprise Generative AI Platform. You will be responsible for building the foundational technology capabilities that enable secure scalable and compliant and governed by the adoption of AI Agents LLM-powered applications and agentic workflows across the enterprise. Reporting to the SVP Head of AIML Technology this leader will establish and execute the engineering strategy for a next-generation AI Control Plane that enables model access agent orchestration tool integration governance identity management observability evaluation and compliance monitoring at enterprise scale. You will lead teams of software engineers platform engineers and ML engineers responsible for designing and operating shared capabilities that support thousands of developers hundreds of AI-enabled applications and mission-critical business workflows. Success in this role requires deep expertise in distributed systems AI platform engineering cloud-native architecture GenAI technologies agent frameworks AI governance and enterprise-scale operational excellence.

Key Responsibilities

Partner closely with the SVP Head of AIML Technology to execute the long-term enterprise AI vision. Translate strategic AI objectives into scalable platform capabilities and engineering roadmaps.

Own the architecture delivery and continuous evolution of Fidelitys enterprise Generative AI Platform and its AI Control Plane which will be the single governed layer through which every LLM application AI agent and agentic workflow across the firm is provisioned secured observed and controlled.

Define the platforms reference architectures technical standards and golden paths which will be opinionated pre-approved patterns for building deploying and operating GenAI and agentic applications

Establish the engineering practices design review testing release management and operational processes capacity cost change and incident management that keep the platform reliable at enterprise scale.

Offer reusable building blocks such as RAG pipelines vector stores a governed toolconnector catalog and memory services as managed self-service capabilities

Own end-to-end agent lifecycle management an agent and tool registry least-privilege capability boundaries session state and memory versioning and rollback and incident-response mechanisms for AI workflows and agents.

Establish unified identity and access management for both human and non-human agent identities across the platform.

Deliver deep observability end-to-end tracing of agent reasoning and tool calls telemetry quality and drift monitoring and cost and latency dashboards.

Build and lead a high-performing team of engineers architects engineering managers ML engineers and product leaders. Create a culture of innovation accountability craftsmanship and operational excellence. Recruit and develop world-class engineering talent.

Required Qualifications

Bachelors degree in computer science Engineering Mathematics or related field. Advanced degree preferred.

15 years of technology leadership experience.

10 years leading large-scale software engineering organizations.

3 years building cloud-native AIML platforms.

Experience delivering enterprise GenAI and agentic AI platforms.

Hands-on experience building AI solutions agentic workflows AI agents and LLM-powered applications.

Experience with a good understanding of two or more of the following LangGraph CrewAI OpenAI Anthropic Amazon Bedrock Azure AI Foundry or comparable emerging agent frameworks.

Strong understanding of LLMs and AI orchestration platforms model capabilities and limitations context management token economics and costlatency trade-offs.

Good understanding of RAG architecture with a strong focus on retrieval - chunking and embedding strategies vector databases hybrid search re-ranking and evaluating retrieval quality.

Solid understanding of the Model Context Protocol MCP including its current limitations and security considerations.

Experience operating Kubernetes as the foundation of AI infrastructure is a huge plus. Especially for model serving GPU scheduling and resource management and autoscaling inference and agent workloads along with deep grounding in distributed systems APIs and event-driven architecture.

Experience designing or operating a modelLLM gateway to manage LLM access at enterprise scale with centralized authentication and key management policy-based routing across providers quotas and rate limits caching and per-team cost attribution.

Hands-on experience with multi-cloud environments including AWS and Azure.

Demonstrated experience building and operating production platforms - AI or otherwise adopted by hundreds of users or developers e.g. internal developer platforms or shared engineering services.

Demonstrated success operating highly available enterprise platforms with defined SLOs and SLAs.

Experience implementing AI governance model risk management and regulatory controls.

Familiarity with Responsible AI and AI governance frameworks and the adaptability to deepen that expertise as security requirements and regulatory expectations evolve.

Experience managing large technology budgets and strategic vendor relationships.

Experience in financial services or another highly regulated industry is a strong advantage.

Leadership Characteristics

The ideal candidate will Think like a platform builder and enterprise architect. Possess strong product and engineering leadership skills. Drive innovation while maintaining operational discipline. Have the executive presence to influence CIOs CTOs and business leaders. Balance speed of innovation with governance and risk management. Demonstrate a passion for transforming enterprises through AI.

Fidelitys 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 140000-285000 USD per year. Placement in the range will vary based on job responsibilities and scope geographic location candidates 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 Fidelitys 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 andor associating with individuals with certain Criminal Histories.

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CategoryInformation Technology

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Benefits that balance life and work

From our fully paid parent leave to our on-site health and wellness centers our benefits support the belief that more balance you have the better you can achieve your goals.

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Company overview

Company overview

At Fidelity we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want. We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experience.

Reasonable accommodations

Fidelity will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation contact the HR Accommodation Team by sending an email to accommodationsfmr.com or by calling 800-835-5099 prompt 2 option 3.

Equal opportunity employer

Fidelity Investments is an equal opportunity employer. We believe that the most effective way to attract develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging.

Applicant screening

At Fidelity we value honesty integrity and the safety of our associates and customers within a heavily regulated industry. Certain roles may require candidates to go through a preliminary credit check during the screening process. Candidates who are presented with a Fidelity offer will need to go through a background investigation and may be asked to provide additional documentation as requested. This investigation includes but is not limited to a criminal civil litigations and regulatory review employment education and credit review role dependent. These investigations will account for 7 years or more of history depending on the role. Where permitted by federal or state law Fidelity will also conduct a pre-employment drug screen which will review for the following substances Amphetamines THC marijuana cocaine opiates phencyclidine.

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