Enterprise Architect - AI - Remote - Full Time
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
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• 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
Apply Now
Apply Now