Principal AI Engineer at Humana focused on enterprise platform strategy and AI systems design. Leading development of agentic AI platforms and influencing architectural direction.
About the role
- Citi's Managing Director for Responsible AI shaping global AI governance strategy. Responsible for implementing safeguards and collaborating across teams for AI safety and compliance.
Responsibilities
- Enhance and champion Citi's global Responsible AI strategy, extending the ethical principles and business governance standards that serve as the firm's north star for AI innovation.
- Partner closely with Citi's technology teams to translate business and functional risk requirements into technical guardrail specifications.
- Own the business design and operational oversight of the firmwide AI Command Center, enhancing the centralized capability to monitor the health and safety of Citi's AI portfolio.
- In partnership with Regulatory Management, serve as the central First Line of Defense executive for AI-related regulatory engagement.
- Foster a unified risk culture across the enterprise by partnering seamlessly with Independent Risk (2LOD) and Internal Audit (3LOD) to identify and remediate control gaps.
Requirements
- 5+ years of demonstrable AI experience, including Generative AI, Machine Learning, and Agentic AI.
- 10+ years in Risk Management, Technology Strategy, or Regulatory Compliance within a large global financial institution (G-SIB), or a blend thereof.
- Proven ability to translate complex business and regulatory requirements into precise technical specifications, influence technology roadmaps with strategic foresight, and drive the adoption of robust solutions.
- Proven track record of designing and implementing enterprise-wide governance frameworks (e.g., SDLC, MRM) and driving their successful adoption across complex, matrixed organizations.
- Exceptional command of the Generative AI landscape (LLMs, Agents) and the specific compliance challenges they present (Hallucinations, IP rights, Bias), addressing critical areas such as ethical use, data privacy, explainability, and societal impact.
- Extensive experience driving high-stakes conversations with regulatory bodies, proactively shaping internal policy responses, and actively contributing to external regulation.
- Demonstrated ability to build end-to-end operational capabilities, defining clear metrics (KPIs/KRIs) and optimizing operational flows.
- A strong portfolio of relevant publications or presentations, demonstrating thought leadership on enterprise AI risk management.
- Bachelor's degree required; Master's/MBA in Business, Degree in Engineering, Policy, Law, or Risk Management preferred.
Benefits
- medical, dental & vision coverage
- 401(k)
- life, accident, and disability insurance
- wellness programs
- planned time off (vacation)
- unplanned time off (sick leave)
- paid holidays
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