AI Architect

Skill: AI Architect

Experience Range : 8 to 15 years

Location: Pan India

Core Competencies

• AI/GenAI architecture patterns: RAG, fine‑tuning strategy, agent/workflow orchestration, prompt lifecycle management.
• Data strategy & architecture: corpus preparation, embedding design, retrieval strategy, evaluation dataset design.
• Governance & guardrails: defining guardrails, standards, and solution reference architectures.
• MLOps/LLMOps: CI/CD, model registry, deployment strategy, monitoring approach.
• Security-by-design: access control, network boundaries, compliance alignment (platform + integration security).

Roles and Responsibilities

• Define reference architecture and reusable patterns for AI/GenAI solutions; enforce consistency across squads.
• Lead model/approach selection (RAG vs fine‑tune), define evaluation approach and success metrics.
• Drive data & pipeline design (ingest → curate → embed/index → retrieve → generate → evaluate).
• Specify and review guardrails (safety, compliance, privacy) and non‑functional requirements (latency, cost, reliability).
• Oversee production readiness: regression test bench, deployment plan, monitoring hooks, handover artifacts.