Senior Lead Gen AI / ML Engineer

Senior Lead Gen AI / ML Engineer Experience: 15+ Years (AI/ML, Generative AI & Data Engineering Experience) Employment Type: Full-Time (W2 Only) Location: USA (Hybrid / Onsite) Work Authorization: H4 EAD, L2S, GC EAD, Green Card, US Citizen Job Summary We are seeking a highly accomplished Senior Lead GenAI / ML Engineer to lead the design, development, and deployment of enterprise-scale Artificial Intelligence, Machine Learning, and Generative AI solutions. The ideal candidate will possess deep expertise in Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), MLOps, Cloud AI Platforms, and Distributed Machine Learning Systems , along with proven leadership experience driving AI transformation initiatives. This role requires ownership of AI platform architecture, GenAI application development, ML lifecycle management, model deployment, AI governance, and enterprise-scale intelligent automation solutions . Key Responsibilities Lead the design and implementation of enterprise-scale Generative AI, Machine Learning, and Agentic AI solutions . Architect and develop AI-powered applications using LLMs, RAG frameworks, AI Agents, and Vector Databases . Design end-to-end ML pipelines covering data ingestion, feature engineering, model training, deployment, monitoring, and optimization. Build intelligent AI assistants, copilots, chatbots, recommendation engines, and knowledge management solutions. Develop scalable backend AI services and APIs using Python and cloud-native technologies. Implement MLOps frameworks for model versioning, deployment automation, governance, and observability. Integrate enterprise systems with AI platforms using APIs, event-driven architectures, and microservices. Collaborate with Data Scientists, Data Engineers, Architects, Product Teams, and Business Stakeholders. Drive AI innovation, technology evaluation, proof-of-concepts, and enterprise AI adoption strategies. Mentor AI/ML engineers and establish engineering standards and best practices. Required Technical Skills Generative AI & LLMs OpenAI GPT Azure OpenAI Anthropic Claude Google Gemini Llama Mistral Prompt Engineering Fine-Tuning Function Calling Tool Calling AI Agents Agentic AI Frameworks LangChain LangGraph CrewAI AutoGen LlamaIndex Semantic Kernel RAG & Knowledge Systems Retrieval-Augmented Generation (RAG) Embedding Models Vector Search Document Intelligence Enterprise Knowledge Management Machine Learning & Deep Learning Scikit-Learn TensorFlow PyTorch NLP Deep Learning Supervised & Unsupervised Learning Feature Engineering Model Evaluation Statistical Analysis Programming Python Pandas NumPy FastAPI Flask REST APIs Microservices Vector Databases Pinecone FAISS ChromaDB Weaviate Milvus Cloud Platforms AWS Azure GCP AWS Bedrock Azure AI Services Vertex AI SageMaker MLOps & AI Operations MLflow Kubeflow Docker Kubernetes CI/CD Pipelines Model Monitoring AI Governance AI Observability Big Data & Analytics Databricks Apache Spark PySpark Snowflake Data Lakes Data Warehousing Leadership & Architecture Expectations Proven experience leading enterprise AI/ML engineering teams. Strong expertise in architecting scalable AI and GenAI platforms. Experience delivering production-grade LLM and Agentic AI solutions. Ability to translate business requirements into enterprise AI solutions. Strong stakeholder management and executive communication skills. Experience mentoring engineers and driving AI engineering best practices. Preferred Qualifications Experience building enterprise AI Copilots and Autonomous Agent Systems. Exposure to Multi-Agent Architectures and AI Orchestration Platforms. Experience with Responsible AI, AI Security, and Governance frameworks. Azure AI Engineer, AWS Machine Learning, Databricks AI, or Google AI Certifications. Experience in BFSI, Healthcare, Insurance, Retail, Telecom, or Financial Services domains. Eligibility & Compliance W2 Full-Time Only No C2C No Consultancy or Vendor Profiles How to Apply 📩 Share your updated resume to: manish.g@precisiontechcorp.com Show more Show less