Job Description
As the SVP Head of AI Architecture, you will serve as a strategic leader responsible for defining and implementing enterprise-wide core and common AI architecture and strategy. This high-impact role bridges innovative AI research with practical scalable solutions ensuring all AI initiatives align with Fidelitys strategic enterprise objectives and ethical standards. In close partnership with the peer Head of AIML Technology to drive prioritized AI initiatives across the organization. Oversee core AI Architecture from initial design through production deployment and governance spearheading and enforcing rigorous practices and controls to maintain consistency and reliability. Take a key leadership role in the strategic evaluation and integration of cutting-edge AI and machine learning technologies into Fidelitys architectural roadmap solidifying the organizations position as a leader in AI innovation and scalable solutions.
This position reports directly to the SVP & CIO Global Head of Enterprise Data and AI. The preferred locations for this role are Boston, MA, Westlake, TX, or Durham, NC, though flexibility will be considered for highly qualified candidates.
Your Responsibilities Include
• Strategic Vision & Planning: Define the strategic vision and roadmap for AI architecture practice across the enterprise, identifying high-impact opportunities for AI adoption. • Architecture Design & Implementation: Lead the design and development of robust, scalable, and secure AI architectures and integration with existing IT infrastructure. • Technical Leadership: Serve as the top technical leader for AI architecture, guiding the selection of appropriate platforms, frameworks, and cloud technologies. • Team Leadership & Mentorship: Build lead and mentor a multidisciplinary team of Architects, fostering a culture of innovation and best practices. • Cross-functional Collaboration: Collaborate with architects from various functional domains, executive leadership, engineers, security specialists, and business stakeholders to provide direction for AI solutions and articulate complex technical concepts effectively to non-technical audiences. • Innovation & R&D: Stay abreast of emerging AI advancements, such as Generative AI, agentic workflows, and drive innovation through prototyping and validating new technologies.
The Expertise and Skills You Bring
A Masters or Ph.D. in Computer Science, Artificial Intelligence, or a related STEM field is required. 15 years of general experience and 10 years of experience in AIML data science or software architecture with proven experience in deploying enterprise-grade AI solutions into production environments.
Deep understanding of AIML concepts, algorithms, frameworks, and programming languages. Experience with cloud computing and MLOps tools is essential. Proven expertise in LLMs, OpenAI, LLaMA, Claude, Gemini, RAG, agent frameworks, LangChain, LangGraph, fine-tuning, LoRA, QLoRA, PEFT, and prompt management.
Strong understanding of security implications related to AIML systems, e.g., data privacy, model poisoning, adversarial attacks. Familiarity with various Hyperscaler tools and services is a plus. Ability to drive organizational change by embedding AIML architecture practices directly into core technology delivery teams.
Experience with major cloud platforms, such as Snowflake and AWS, or other public cloud. Strong executive communication & leadership presence, engaging with executive leadership, C-Suite, are required to frequently participate in core initiatives and has broad exposure to executive leadership.
Consistent record of operations, collaboration, and delivery with the ability to build key relationships and influence partners on enterprise objectives. Ability to challenge the status quo and facilitate the exchange and creation of ideas to address business challenges and improve performance.
Excellent talent skills and agile operating model experience with the ability to develop impactful teams by setting clear goals and holding self and others accountable to standards of excellence.
The Team
You will serve as a senior leader within the Enterprise Technology team, reporting to the Global Head of Enterprise Data and AI function. In this role, you will collaborate with various Business Units, CIOs, Enterprise Architecture, Cybersecurity, Enterprise Analytics Platform, and AIML Solutions teams to drive meaningful impact and foster innovation across the 16 trillion global financial ecosystems.
Base Salary Range
The base salary range for this position is $185,000 - $400,000 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, including comprehensive health care coverage, emotional well-being support, market-leading retirement, generous paid time off, parental leave, charitable giving, employee match program, and educational assistance, including student loan repayment, tuition reimbursement, and learning resources to develop your career.
Note
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 and/or associating with individuals with certain Criminal Histories.
Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week, all business days M-F in a Fidelity office. This does not apply to Remote or fully Onsite roles.
Certifications Category Information Technology