SVP, Head of AI Architecture

skillventory - A Leading Talent Research Firm

SVP, Head of AI Architecture at Fidelity defining enterprise-wide AI architecture strategy and overseeing AI solutions implementation. Leading multidisciplinary teams and collaborating with executives across business units.

Posted 5/29/2026full-timeBoston • Massachusetts, North Carolina, Texas • 🇺🇸 United StatesLead💰 $185,000 - $400,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloud

About the role

Key responsibilities & impact

Define the strategic vision and roadmap for AI architecture practice across the enterprise, identifying high-impact opportunities for AI adoption
Lead the design and development of robust, scalable, and secure AI architectures, and integration with existing IT infrastructure
Serve as the top technical leader for AI architecture, guiding the selection of appropriate platforms, frameworks, and cloud technologies
Build, lead, and mentor a multidisciplinary team of Architects fostering a culture of innovation and best practices
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
Stay abreast of emerging AI advancements, such as Generative AI, agentic workflows, and drive innovation through prototyping and validating new technologies.

Requirements

What you’ll need

A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related STEM field is required
15 + years of general experience
10+ years of experience in AI/ML, data science, or software architecture, with proven experience in deploying enterprise-grade AI solutions into production environments
Deep understanding of AI/ML 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 AI/ML 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 AI/ML 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 ability to develop impactful teams by setting clear goals and holding self and others accountable to standards of excellence.

Benefits

Comp & perks

comprehensive health care coverage and emotional well-being support
market-leading retirement
generous paid time off and parental leave
charitable giving employee match program
educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI architectureAI/MLdata sciencesoftware architectureLLMsRAGagent frameworksfine-tuningcloud computingMLOps

Soft Skills

leadershipcommunicationcollaborationmentoringinnovationorganizational changerelationship buildinginfluenceproblem-solvingaccountability

Certifications

Master's degreePh.D.