Own the AI engineering charter for NewgenONE BPMdesigning, shipping, and scaling GenAI/Agentic capabilities that make process design instantaneous, execution intelligent, and optimization continuous. Turn GenAI-powered ideas into robust services for process modeling, business rules, case/RPA orchestration, workflow analytics, and simulations, improving time-to-value, accuracy, and governance across enterprise workflows. 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 (integrated with Newgens Marvin) that can handle "non-deterministic" steps in a workflowsuch 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 safe 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 governanceprivacy/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.

Qualifications :

- 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 & language AI : LLMs (prompting, fine-tuning, RAG), program synthesis for models (BPMN/DMN/CMMN), IR/vector search, time'series forecasting; OCR/IDP familiarity is a plus.

- BPM foundations : hands-on with BPMN/DMN/CMMN, case management, exception handling, and event-driven microservices.

- RPA & hybrid orchestration : experience embedding bots in processes with policy controls and exception/case handling.

- MLOps/platform : multi-tenant AI service design; model registries, CI/CD for ML, telemetry/observability, evaluation suites, cost/perf optimization on major clouds.

- Governance & security : data privacy, PII handling, audit trails, model/prompt guardrails; regulated environment experience preferred.

- Stakeholder leadership : partner with Product/GTM/Customer Success and communicate trade-offs to executives and customers.