Job Description
• AI Systems Development: Architect, fine-tune, and deploy AI agents purpose-built for utility use cases, including predictive operations, customer engagement, and energy optimization.
• Backend Integration: Build APIs, microservices, and orchestration frameworks that seamlessly connect AI models with enterprise systems and grid-level data flows.
• Pipeline Ownership: Design and manage the full AI pipeline — ingestion, embeddings, retrieval, evaluation, and continuous deployment — ensuring reliability and scalability.
• AI Risk Mitigation: Address vulnerabilities unique to AI, such as model drift, bias exploitation, adversarial robustness, hallucination control – with sensitivity to regulated environments.
• Cross-Functional Collaboration: Partner with software engineers, data specialists, and security teams to integrate AI capabilities, embedding AI by design into every product release.
• Speed of Delivery: Operate with urgency, delivering breakthroug...