Lead AI Engineer
Precision Technologies · New Jersey, United States
Apply & track with Apply EdgeSenior Lead AI/ML Architect Engineer – Generative AI, Machine Learning, LLM & Cloud AIExperience: 15+ Years (AI/ML Engineering, Data Science, Generative AI & AI Architecture Experience)Employment Type: Full-Time (W2 Only)Location: USA (Hybrid / Onsite)Work Authorization: H4 EAD, L2S EAD, GC EAD, Green Card, US CitizenJob SummaryWe are seeking a highly experienced Senior Lead AI/ML Architect Engineer with strong hands-on expertise in Machine Learning, Generative AI, LLMs, RAG, Agentic AI, Python, Azure/AWS, Databricks, and MLOps to architect, develop, and deploy scalable enterprise AI solutions.The ideal candidate will combine AI/ML architecture, hands-on engineering, cloud platforms, model development, AI application development, and technical leadership to deliver production-ready AI solutions across enterprise environments.Key ResponsibilitiesLead the architecture, design, development, and deployment of enterprise-scale AI/ML and Generative AI solutions.Design scalable LLM, RAG, Agentic AI, and AI-powered application architectures.Develop machine learning models for classification, regression, forecasting, recommendation, anomaly detection, NLP, and predictive analytics.Build enterprise GenAI applications using LLMs, Prompt Engineering, RAG, Vector Databases, AI Agents, and tool/function calling.Develop and optimize AI/ML pipelines using Python, PyTorch, TensorFlow, Scikit-learn, Spark, and Databricks.Design end-to-end MLOps pipelines covering model training, validation, deployment, monitoring, versioning, and continuous improvement.Integrate AI/ML solutions with enterprise applications, APIs, databases, and cloud services.Implement AI model optimization, scalability, observability, security, and cost-management strategies.Lead technical design reviews, architecture discussions, code reviews, and engineering best practices.Mentor AI/ML Engineers, Data Scientists, and developers while providing technical leadership.Collaborate with Product Managers, Data Engineers, Data Architects, Cloud Architects, and executive stakeholders.Required Skills15+ years of experience in AI/ML Engineering, Data Science, Software Engineering, or related fields.Strong hands-on expertise in Python, Machine Learning, Deep Learning, and Statistical Modeling.Strong experience with Generative AI, LLMs, RAG, Prompt Engineering, and AI Agents.Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini, and/or Llama.Strong experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks.Experience with Vector Databases such as Pinecone, FAISS, ChromaDB, or Weaviate.Strong ands-on experience with PyTorch, TensorFlow, Keras, Hugging Face, and Scikit-learn.Experience with Azure, AWS, and/or GCP AI/ML services.Strog experience with Databricks, Apache Spark, PySpark, Snowflake, and cloud data platforms.Experience implementing MLOps, MLflow, Docker, Kubernetes, CI/CD, model monitoring, and model governance.Strong understanding of REST APIs, Microservices, Event-Driven Architecture, and enterprise application integration.Strong architecture, problem-solving, communication, and technical leadership skills.Preferred SkillsAgentic AI, Multi-Agent Systems, LangGraph, MCP (Model Context Protocol), LLM Fine-Tuning, PEFT/LoRA, RLHF, RAG Evaluation, AI Guardrails, Responsible AI, AI Governance, Azure AI Foundry, Amazon SageMaker, Google Vertex AI, Databricks ML, MLflow, Kubeflow, Kubernetes, Terraform, Azure DevOps, GitHub Actions, Apache Kafka, Azure Event Hubs.Technical EnvironmentPython, SQL, Machine Learning, Deep Learning, Generative AI, LLMs, OpenAI, Azure OpenAI, Claude, Gemini, Llama, RAG, Agentic AI, AI Agents, Prompt Engineering, LangChain, LangGraph, LlamaIndex, MCP, Vector Databases, PyTorch, TensorFlow, Keras, Hugging Face, Scikit-learn, Databricks, Apache Spark, PySpark, Snowflake, Azure ML, Azure AI Foundry, AWS SageMaker, Google Vertex AI, MLflow, Kubeflow, Docker, Kubernetes, REST APIs, Microservices, Kafka, Azure Event Hubs, Git, Azure DevOps, GitHub Actions, CI/CD, MLOps, Model Monitoring, AI Governance, Responsible AI.Eligibility & ComplianceW2 Full-Time OnlyNo C2CNo Third-Party Vendors or Consultancy ProfilesHow to Apply📩 Share your updated resume to:manish.g@precisiontechcorp.com