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Leadership Triangle · 12 hours ago

SVP, Head of AI Architecture

Durham, NC

Full-time

Hybrid

Director/Executive

$185K/yr - $400K/yr

15+ years exp

Fidelity is a privately held company that values creating a diverse and inclusive work environment. As the SVP, Head of AI Architecture, you will define and implement enterprise-wide AI architecture and strategy, ensuring alignment with Fidelity’s objectives and ethical standards while overseeing AI initiatives across the organization.

ConsultingNon ProfitTraining

Responsibilities

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

Qualification

AI architectureAI/ML experienceCloud computingMLOps toolsLLMs expertiseSecurity implicationsCloud platformsExecutive communicationInnovationTeam leadershipCollaboration

Required

A Master's 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 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)

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