Senior AI Engineer

What you'll do

• Develop and own enterprise-grade Agentic AI systems including multi-agent architectures, RAG pipelines, and orchestration frameworks.
• Translate business requirements into technical design documentation, user stories, and end-to-end integration tests.
• Integrate AI agents with enterprise IT and operations data sources while ensuring strict content security.
• Drive architectural decisions for deployment models across on-prem, cloud, hybrid, and containerized environments.
• Define agent autonomy boundaries, human-in-the-loop workflows, and escalation strategies for supply chain use cases.
• Design and implement observability and evaluation frameworks to monitor latency, accuracy, cost, and hallucinations.
• Manage development team activities and establish Hypercare support models for production AI solutions.

What we're looking for

• Bachelor’s degree in Computer Science or related field or equivalent experience.
• 12+ years of experience in software architecture, systems design, or enterprise platform engineering.
• At least 2+ years of experience as a Palantir AI Foundry and AIP platform Forward Deployment Engineer.
• Hands-on expertise in Python for production-grade AI systems, plus experience in SQL, JSON, and backend service development (Java a plus).
• Proficiency in AI/ML systems, generative AI, or agentic AI frameworks including LLMs, RAG architectures, and orchestration frameworks.
• Experience with vector databases, embeddings, retrieval optimization, and designing multi-agent communication patterns.
• Experience integrating enterprise platforms (ERP, CRM, ITSM) with APIs and data connectors.
• Experience with containerized deployments, Kubernetes, and NVIDIA AI technologies like NeMo or AIQ (preferred).