Job Summary
The role involves architecting and executing enterprise AI platforms across various model providers and cloud environments. You will establish standards for LLMOps, security, dependability, and financial governance. Additionally, you will lead several engineering teams, oversee model strategies and enterprise implementations, while collaborating with clients and pursuit teams to develop significant AI solutions.
Responsibilities
- Architect and deliver comprehensive enterprise AI platforms.
- Set and maintain standards for LLMOps, security, reliability, and cost governance.
- Lead and mentor multiple engineering teams.
- Steer model strategies and oversee enterprise deployments.
- Collaborate with clients and pursue teams to innovate major AI solutions.
Qualifications
- A minimum of 10 years of experience in software or AI/ML engineering, particularly in a leadership capacity.
- Demonstrated experience in delivering enterprise AI platforms and knowledge of LLMOps/MLOps.
- Expertise in multi-cloud architecture and managing engineering teams.
- Experience with AI security, governance, and cost optimization.
- At least one year of experience working with utilities clients or in a similar utility-related role.
- A bachelor’s degree or equivalent professional experience.
