AI Enterprise Architect - RemoteExperience / Skills
- 12–15 years of experience in AI/ML-related roles, with strong experience in LLMs & Agentic AI (architecture, governance, platform strategy)
- 3–5 years: Experience designing enterprise AI solutions including Gemini/Vertex AI, agent applications, RAG pipelines, grounding/data connectors, LLM orchestration, and model governance
- 5–7 years: Strong expertise designing ingestion frameworks, APIs, data normalization, semantic search, attribute‑level & record‑level access control, PII masking, and connector factory patterns
- Hands‑on experience with Vertex AI, Gemini Enterprise (Agentspace), Vector Search/Matching Engine, Functions, Cloud Run, IAM, Secret Manager and Kubernetes
- 2–3 years: Experience defining multi‑agent coordination flows, intent routing, graceful handoff, context propagation, LangChain/LangGraph/DSPy patterns
- Strong knowledge of embedding pipelines, grounding strategies, retrieval optimization, hybrid search, schema‑aware context construction
- 2–3 years: Hands‑on experience implementing LLM governance, safety patterns, content moderation, policy enforcement, auditability, model drift tracking
- Secondary Skills – Knowledge of MCP’s and A2A SDK; Version Control: Proficiency with version control tools like Git; Experience in Agile Methodologies/development environments
Job Type: Full-time
Pay: $190,000.00 - $220,000.00 per year
Experience:
- AI/ML-related roles: 10 years (Required)
- Enterprise architecture: 2 years (Required)
Work Location: Remote
