Lead the engineering team
that enables citizen developers and enterprises to build autonomous, self-optimizing processes that
can reason, decide, and act.

Key Outcomes & Responsibilities

● Define the technical AI vision for the BPM portfolio across process design
(BPMN/CMMN/DMN), rules intelligence, agentic orchestration, workflow guidance, and
continuous optimization using process insights.

● Lead the development of AI Agents that can handle
"non-deterministic" steps in a workflow—such as managing exceptions, negotiating
outcomes, or dynamically re-routing tasks based on real-time context.

● Advance AI-powered BRMS (DMN, decision tables) for rule discovery, simulation, conflict
checks, explainability, and in‑flight edits with secure rollout.

● Productionize process insights & simulations (what‑if, forecasting, best‑action
recommendations) with rigorous evaluation against historicals and live telemetry.

● Evolve hybrid human/bot orchestration: embed RPA into end‑to‑end workflows with
exception/case handling patterns and diagnostics to identify automation candidates.





● Operationalize agentic AI in workflows using governed agents (data fetch, validations,
updates) with auditable runs and policy enforcement.

● Establish model, data, and prompt governance—privacy/PII controls, redaction, tenancy
isolation, content filters, prompt/response guardrails, and bias/safety evaluation.

● Build MLOps/LLMOps pipelines for data curation, training/fine‑tuning, RAG retrievals, A/B
and canary releases, observability, and cost controls across Azure/AWS/GCP.

● Ensure API‑first services compatible with low‑code DevOps, external systems, and
downstream surfaces (web/mobile, portals, WorkDesk).

● Recruit, mentor, and grow a multi‑disciplinary team; represent BPM AI with customers,
partners, and analysts.

Requirements
● 10+ years in AI/ML with 4+ years leading AI/ML engineering teams shipping production AI
for workflow/BPM/automation or adjacent domains.

● Depth in process & lan

📌 AI Lead- BPM (India)
🏢 MarketScope
📍 India