Fidelity is seeking to establish and execute an enterprise AI strategy that enables secure, ethical, and impactful AI deployment across the organization, supporting its $16+ trillion global financial ecosystem.
Requirements
- 15 + years of general experience and 10+ years of experience in leading teams with data engineers, software engineers, cloud architects, and ML Engineers (or data scientists) to deliver advanced analytics work products.
- Hands-on experience building and operationalizing an Enterprise scale AI/ML platform capable of handling hundreds or thousands of production models.
- Proven track record delivering industrialized, common AI services in a regulated environment.
- Experience with major cloud platforms such as Snowflake and AWS (or other public cloud).
- Capability to drive open-source implementation, public cloud development environment with hands-on experience with development operations, automation, and testing technologies.
- 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.
- 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.
Responsibilities
- Enterprise AI/ML Platform: Own the vision, build, and scale of the AI/ML platform with sophisticated MLOps practice that empowers Data Scientists and ML Engineers with best-in-class capabilities for feature stores, distributed training, experiment tracking, and automated deployment.
- MDLC Governance Technology: Implement the necessary technology controls for Model Observability and Governance, ensuring transparency, drift detection, and compliance across the entire model portfolio.
- Core AI Solutions Delivery: Lead the team building and managing reusable, high-value AI services (e.g., Speech-To-Text, OCR, Document Intelligence, Natural Language Understanding) that are consumed by multiple business applications.
- Innovation & Future Tech: Constantly evaluate emerging AI/ML technologies (e.g., Generative AI infrastructure, large language model deployment strategies) to incorporate into the enterprise roadmap.
- Stakeholder Alignment: Partner closely with AI leaders and CIOs across different Business Units to ensure technology enables, rather than hinders, policy execution.
- Operational Excellence: Establish rigorous Service Level Objectives (SLOs) and run the Platform Operations function, ensuring 24/7 availability and rapid incident resolution for all mission-critical workloads.
Other
- Bachelor’s degree required; advanced STEM degree preferred.
- 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.
- Ability to drive organizational change by embedding AI/ML practices directly into core technology delivery teams.
- Consistent record of operations collaboration and delivery with the ability to build key relationships and influence business partners on enterprise objectives.
- Strategically minded; enabling ability to lead the development and implementation of an enterprise strategy and achieve financial and growth goals.
