AI Lead- BPM

Function: AI/ML Engineering
· Platform/Foundations
· Product AI
· Applied Research
· MLOps
· GenAI Safety & Governance

Mission

Own the AI engineering charter for Newgen

ONE BPM—designing, 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 Newgen’s Marvin) 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 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 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 Dev Ops, external systems, and downstream surfaces (web/mobile, portals, Work Desk).
- 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.

Indicative Tech Stack

AI/ML:
PyTorch/Tensor Flow;
Hugging Face;
Lang Chain/Llama Index; ONNX/Triton;
Ray

IR/Search:
Elastic/Open Search + Vector DB (FAISS/Pinecone/Weaviate)

Process: BPMN/DMN/CMMN tooling; rules engines; simulators

Pipelines/MLOps:
Airflow/Kubeflow/MLflow; feature store;
Docker/K8s;
Grafana/Prometheus

Cloud:
Azure/AWS/GCP; secrets/key mgmt; policy/guardrail libraries

Why Join Newgen?

This is a high-impact role at a company recognized as a "Leader" in the 2025 Forrester Wave for Content Platforms. You will have the unique opportunity to redefine how the world’s largest enterprises manage and interact with billions of documents, backed by a robust, cloud-native low-code ecosystem.