Senior Lead AI/ML Architect Engineer

Senior Lead AI/ML Architect Engineer Experience: 15+ Years (Artificial Intelligence, Machine Learning & Enterprise AI 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 AI/ML Architect Engineer to lead the architecture, engineering, and deployment of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), and Generative AI (GenAI) solutions. The ideal candidate will possess deep expertise in Large Language Models (LLMs), Agentic AI, RAG Architectures, MLOps, Cloud AI Platforms, Distributed AI Systems, and Enterprise AI Engineering , along with proven leadership experience driving AI transformation and intelligent automation initiatives. This role requires ownership of AI strategy, solution architecture, GenAI platform engineering, model lifecycle management, AI governance, cloud-native AI applications, and enterprise AI modernization . Key Responsibilities Architect and lead enterprise-wide AI/ML and Generative AI platforms . Design scalable AI solutions using LLMs, Agentic AI, RAG pipelines, and Vector Databases . Build production-grade AI applications including AI Copilots, Intelligent Chatbots, Recommendation Engines, and Knowledge Assistants . Design end-to-end ML pipelines covering data ingestion, feature engineering, model training, deployment, monitoring, and optimization . Develop high-performance AI services and backend APIs using Python and cloud-native technologies. Lead implementation of MLOps , AI governance, model versioning, monitoring, and continuous deployment. Architect distributed AI systems with high availability, scalability, and security. Integrate enterprise applications with AI services using REST APIs, event-driven architecture, and microservices. Collaborate with Data Scientists, Data Engineers, Product Managers, and Executive Leadership to deliver AI-driven business solutions. Mentor engineering teams, establish AI engineering standards, and drive innovation across enterprise AI initiatives. Required Technical Skills Artificial Intelligence & Generative AI Large Language Models (LLMs) OpenAI GPT Azure OpenAI Anthropic Claude Google Gemini Llama Mistral Prompt Engineering Fine-Tuning AI Agents Function Calling Tool Calling Agentic AI & AI Frameworks LangChain LangGraph CrewAI AutoGen LlamaIndex Semantic Kernel Hugging Face Machine Learning & Deep Learning Python Scikit-learn TensorFlow PyTorch NLP Deep Learning Supervised & Unsupervised Learning Reinforcement Learning Statistical Modeling Model Evaluation Feature Engineering RAG & Vector Databases Retrieval-Augmented Generation (RAG) Pinecone FAISS ChromaDB Weaviate Milvus Embedding Models Semantic Search Cloud AI Platforms Microsoft Azure AWS Google Cloud Platform (GCP) Azure AI Services Azure OpenAI AWS Bedrock Amazon SageMaker Google Vertex AI MLOps & AI Engineering MLflow Kubeflow Docker Kubernetes CI/CD Pipelines Model Serving Model Monitoring AI Observability AI Governance Big Data & Data Engineering Apache Spark PySpark Databricks Snowflake SQL Data Lakes Data Warehousing Leadership & Architecture Expectations Proven experience leading enterprise AI/ML engineering and architecture teams. Strong expertise in designing scalable AI, ML, and GenAI platforms. Experience delivering production-grade AI applications using LLMs and Agentic AI frameworks. Ability to define enterprise AI strategy and translate business objectives into scalable AI solutions. Strong stakeholder management, executive communication, and technical leadership skills. Experience mentoring engineers, conducting architecture reviews, and driving enterprise AI adoption. Preferred Qualifications AI/ML certifications from Microsoft Azure, AWS, Google Cloud, or Databricks. Experience with AI Security, Responsible AI, Model Governance, and Explainable AI (XAI). Experience building enterprise AI Copilots, Autonomous AI Agents, and Intelligent Automation solutions. Experience in Banking, Healthcare, Insurance, Retail, Manufacturing, or Financial Services domains. Strong understanding of cloud-native architectures, distributed AI systems, and enterprise digital transformation. 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