AI Lead- ECM

Function:

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

Mission Head the AI engineering charter for Newgen’s ECM platform (NewgenONE OmniDocs) by building, scaling, and governing AI/GenAI capabilities that power intelligent capture, classification, search, insights, and document generation across content-centric workflows. Lead a high-performance team of AI/ML engineers and data scientists to transform. The goal is to scale the Agentic AI capabilities, enabling autonomous decision-making, hyper-accurate intelligent document processing (IDP), and Generative AI-driven content discovery for our global clients in highly regulated industries.

Key Outcomes & Responsibilities AI Strategy & Roadmap: Define the technical AI vision for the ECM portfolio, focusing on the transition from traditional OCR/Extraction to LLM-powered cognitive understanding and Agentic AI for document-heavy workflows. Architect multi‑tenant, cost‑efficient GenAI services (prompt orchestration, retrieval‑augmented generation, evaluation harnesses, guardrails) consumable across WorkDesk, IDP, and Content Management surfaces. Advance document intelligence: combine LLMs with layout understanding, OCR/ICR/OMR/MICR, and computer vision; expand pre‑trained templates and Model Training Studio for continuous learning on new document types. Ship next‑gen enterprise search (semantic + hybrid vector), relevance tuning, and cross‑repository federation; enable context‑aware retrieval in ECM workflows. Governance & Ethical AI: Establish frameworks for "Explainable AI" to ensure that automated decisions within the ECM platform are auditable, transparent, and compliant with global data privacy regulations (GDPR, SOC2, etc.). Establish robust MLOps: data curation/labelling, training/validation, bias & safety testing, model registry, blue/green and canary rollouts, telemetry, and cost governance across clouds. Build, mentor and lead a high‑performing team (applied scientists, ML engineers, platform engineers, data/ops, evaluation & safety) with strong engineering and scientific rigor.

Qualifications 10+ years of experience in AI/ML with a demonstrable track record of shipping production AI; leadership experience managing AI/ML engineering teams. Depth in document & language AI: LLMs (prompting, fine‑tuning, RAG), information retrieval (BM25, vector search, hybrid ranking), computer vision for documents, and OCR/ICR/OMR/MICR. Architecture & MLOps: multi‑tenant AI services, feature stores, model registries, CI/CD for ML, observability, and cost/performance optimization on Azure/AWS/GCP. Stakeholder leadership: partner with Product Management and GTM teams to define outcomes and articulate AI tradeoffs to customers, executives, and analysts. Excellent communication and storytelling skills for technical and non‑technical audiences.

Indicative Tech Stack AI/ML: PyTorch/TensorFlow, Hugging Face, LangChain/LlamaIndex, ONNX/Triton; IR/Search: Elastic/OpenSearch + Vector DB (FAISS/Pinecone/Weaviate); Pipelines & MLOps: Airflow/Kubeflow/MLflow, Feast/feature store, Docker/K8s; Data: Lakehouse (Delta/Iceberg), OCR engines; Cloud: Azure/AWS/GCP; Observability: Prometheus/Grafana. 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.