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Home / Agentic AI Architect

Agentic AI Architect

  • Full Time
  • Anywhere

Inizio Partners Corp

Role & Responsibilities Overview:

Architecture & Technical Leadership

  • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers
  • Design and govern agentic orchestration framework for multi-step workflows
  • Establish architecture patterns for – RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation

Platform & Integration Design

  • Define integration architecture across – Lakehouse, ODS, document systems; Underwriting systems and third-party APIs
  • Design configurable, metadata-driven framework for multi-LOB onboarding
  • Define API/microservices patterns (Python/.NET hybrid)

AI & GenAI Enablement

  • Define where and how to use – GenAI vs deterministic logic, agentic workflows vs pipeline workflows
  • Establish multimodal integration approach combining structured, unstructured, and external data
  • Design prompt lifecycle, evaluation, and optimization strategy

Governance, Safety & ModelOps

  • Define AI safety and guardrails (PII, hallucination control, policy constraints)
  • Establish ModelOps and PromptOps frameworks
  • Ensure explainability, auditability, and traceability of AI outputs

Program Leadership

  • Lead technical execution across AI, data, and platform teams
  • Guide engineers (AI, data, full-stack) and ensure alignment with architecture
  • Drive technical decisions and stakeholder communication

Candidate Profile:

  • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture
  • Background: Strong experience in designing enterprise-scale platforms and distributed systems
  • Domain (good to have): Insurance / reinsurance / financial services
  • Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
  • Profile Type: Hands-on architect with ability to balance strategy + execution

Technical skills:

  • GenAI & Agentic Frameworks – Semantic Kernel/ LangGraph (or similar orchestration frameworks); LLM integration (Azure OpenAI, OpenAI APIs, etc.); Prompt engineering, prompt lifecycle design
  • Retrieval & RAG – Azure AI Search (indexing, vector search, hybrid search); Embedding pipelines and retrieval optimization; RAG design, grounding strategies, context management
  • Tool Access & Integration – MCP (Model Context Protocol) architecture and tool design; API design (FastAPI / REST / microservices); Integration with enterprise systems and third-party APIs
  • AI Safety & Governance – NVIDIA NeMo Guardrails;Microsoft Presidio (PII detection/masking); Guardrails for prompt injection, hallucination control
  • Evaluation & ModelOps – Azure AI Foundry (model hosting, versioning, monitoring); Evaluation frameworks (LLM-as-judge, test datasets); Prompt/version control, cost/latency monitoring
  • DevOps & Observability – CI/CD pipelines (Azure DevOps / GitHub Actions); Logging, monitoring, observability (App Insights, etc.); Performance tuning and scalability

Originally posted on Himalayas

To apply for this job please visit himalayas.app.

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