AI Lead Engineer- ECM

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

Mission

Head the AI engineering charter for Newgens 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 multitenant, costefficient GenAI services (prompt orchestration, retrievalaugmented 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 pretrained templates and Model Training Studio for continuous learning on new document types.
• Ship nextgen enterprise search (semantic + hybrid vector), relevance tuning, and crossrepository federation; enable contextaware 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 highperforming 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, finetuning, RAG), information retrieval (BM25, vector search, hybrid ranking), computer vision for documents, and OCR/ICR/OMR/MICR.
• Architecture & MLOps: multitenant 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 nontechnical 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 worlds largest enterprises manage and interact with billions of documents, backed by a robust, cloud-native low-code ecosystem.