Sr AI Engineer
regeneron
Job Description
- Design, develop, and deploy AI-powered applications using Large Language Models (LLMs), agentic AI frameworks, retrieval-augmented generation (RAG), and enterprise data platforms.
- Build intelligent workflows, AI agents, and conversational experiences that improve operational efficiency, productivity, and decision-making across business functions.
- Collaborate with business stakeholders to understand complex challenges and translate requirements into scalable AI solutions that deliver measurable value.
- Design and implement data pipelines, integrations, and knowledge retrieval frameworks that enable AI applications to securely access governed enterprise data.
- Develop robust evaluation frameworks to assess AI model performance, response quality, grounding accuracy, and business effectiveness.
- Partner with engineering, data, and platform teams to ensure AI solutions are scalable, secure, reliable, and aligned with enterprise architecture standards.
- Contribute across the full AI solution lifecycle including discovery, planning, architecture, development, testing, deployment, and continuous improvement.
- Participate in technical design reviews, peer reviews, and AI governance processes to ensure solution quality and compliance.
- Support responsible AI practices by implementing data privacy controls, model governance standards, risk mitigation approaches, and regulatory requirements.
- Stay ahead of with advancements in generative AI, foundation models, agent architectures, and emerging AI technologies to drive innovation across the organization.
- Promote a culture of collaboration, continuous learning, innovation, and engineering excellence across global teams.