Lead Enterprise Solutions Applied AI Engineer
Core
Design, build, and deploy production-grade agentic AI solutions across the enterprise, translating complex business workflows into automated, agent-driven processes while establishing standards and safety guardrails.
Role type
Senior IC applied AI engineer (agentic systems)
Builds
Autonomous AI agents integrated with enterprise platforms (Salesforce, SAP, legacy databases)
Domain
Enterprise software, Agentic AI, Large Language Models (LLMs)
Deliverable
production ML models
Required skills
Large language models (LLMs), prompt engineering, agent frameworks (LangChain, LlamaIndex), Retrieval-Augmented Generation (RAG), Python, frontend development (React, TypeScript), enterprise system integration, cloud services (Azure, GCP), container tools (Docker, Kubernetes), vector databases (MongoDB, Pinecone, Weaviate, Qdrant), CI/CD pipelines, logging and monitoring
Preferred skills
Experience with OpenAI, Anthropic Claude, Azure OpenAI, Microsoft Agent Framework, Vertex AI Agent Builder, Semantic Kernel, Graph databases
Responsibilities
Lead agentic AI initiatives from idea to implementation, connect AI agents to diverse enterprise platforms, design and build multi-agent AI systems, create reusable assets and reference architectures, partner with Security and Governance teams to embed safety guardrails, mentor other engineers
Seniority
Senior, hands-on IC with leadership responsibilities
