Head of Artificial Intelligence (Agentic AI Platform)

Job Description - Director / Head of Agentic AI Platform & Digital WorkersJob Location - Pune, MaharashtraExperience - 12+ yearsSalary Budget - INR 60 lacsOur client is hiring a Senior Engineering Leader to build from scratch, own, and scale an enterprise-grade Agentic AI Platform (“Agentic AI Fabric”) and a portfolio of production Digital Workers (agents) that execute real workflows safely across enterprise systems.What this leader will own -1) Build and own the platform (Agentic AI Fabric)- Agent runtime/orchestration patterns for multi-step workflows (state, retries, queues/backpressure, approvals/HITL) - Tool/action gateway and registry (governed connectors, allow lists, parameter validation, rate limits, rollback) - Knowledge/RAG layer (ingestion pipelines, provenance, access controls, grounding and traceability) - LLMOps/evaluations (versioned prompts/tools/policies, regression gates, safe rollouts, rollback) - Observability and cost governance (telemetry, budgets/alerts, cost-per-transaction, SLOs/runbooks) - Multi-cloud-ready architecture patterns (AWS first; extend to Azure later)2) Build and scale agents as products- Deliver a production-grade MVP agent and expand a portfolio of Digital Workers - Establish a “Next Agent Kit” to accelerate subsequent agents (templates, tool patterns, eval harness, rollout checklists)3) Enterprise agent security baseline (must-have)This leader must set and enforce controls for:- PII/PHI boundary controls and safe logging/data minimization - Prompt/tool injection defenses - Knowledge base poisoning protections (provenance, approvals/versioning, trust filters) - Tool supply-chain integrity (registry governance, version pinning, scanning/SBOM) - Privilege escalation controls and step-up approvals / separation of dutiesWhy this is a senior roleThis is not an innovation lab position. It requires:- shipping production systems under enterprise constraints, - handling security/compliance scrutiny, - orchestrating cross-functional teams (engineering, security, SMEs, delivery), - and building something reusable and scalable (platform + agents).Ideal candidate profile (what “good” looks like)Must have- 12–18+ years in engineering/product/platform development - 5+ years leading teams and complex delivery programs - Track record building enterprise products/platforms (not just projects): multi-tenant SaaS, internal developer platforms, automation/workflow platforms, data/AI platforms - Strong cloud architecture experience (AWS and/or Azure), including IAM/security, networking, and observability - Hands-on familiarity with LLM applications (RAG + tool calling + evals/monitoring), and the realities of production deployment - Experience withStrongly preferredAgent frameworks & orchestration- Hands-on experience with agent/workflow orchestration frameworks such as LangGraph, CrewAI, AutoGen, and/or similar (e.g., LlamaIndex agents), including multi-step tool calling and human-in-the-loop patterns.Automation/workflow platforms- Experience with workflow automation / integration platforms such as n8n (or comparable low-code workflow engines) to rapidly compose actions and integrate enterprise systems.Tool integration standards (optional)- Familiarity with MCP-style tool servers/tool gateways and agent interoperability concepts (A2A-ready patterns), even if not fully implemented end-to-end. - Has built or scaled a platform where customers/users rely on it daily (SLOs, on-call, release governance) - Has shipped AI-assisted or autonomous workflow systems that integrate with enterprise apps (ITSM/CRM/ERP) - Has worked in regulated contexts (BFSI/healthcare) or delivered audit-grade systemsNice-to-have- Familiarity with agent frameworks, interoperability concepts (A2A/MCP patterns), secure tool execution - Experience packaging offerings / enabling GTM narratives for enterprise stakeholders - Inference engineering and cost/performance optimization - Experience building and operationalizing evaluation frameworks for LLM/agent workflows

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