Fidelity needs to define and implement enterprise-wide core and common AI architecture and strategy, bridging AI research with scalable solutions, ensuring alignment with strategic objectives and ethical standards, and overseeing AI architecture from design to deployment and governance.
Requirements
- 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.
- Experience with major cloud platforms such as Snowflake and AWS (or other public cloud).
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.
- Stay abreast of emerging AI advancements, such as Generative AI, agentic workflows, and drive innovation through prototyping and validating new technologies.
- 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 Fidelity’s architectural roadmap, solidifying the organization’s position as a leader in AI innovation and scalable solutions.
Other
- 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.
- 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.
- Ability to drive organizational change by embedding AI/ML architecture practices directly into core technology delivery teams.
- 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.
