Lead Artificial Intelligence Engineer – Azure AI Foundry

Job Summary

We are seeking a Lead AI Engineer with strong experience in Azure AI Foundry to lead the design, development, and deployment of scalable AI/ML and Generative AI solutions. The ideal candidate will combine deep technical expertise with leadership skills to guide teams and deliver enterprise-grade AI platforms and applications on Microsoft Azure.

Key Responsibilities

Technical Leadership

• Lead architecture, design, and implementation of AI solutions using Azure AI Foundry
• Design and deploy Generative AI, LLM-based, and ML solutions on Azure
• Guide teams on model selection, prompt engineering, fine-tuning, and evaluation
• Establish best practices for AI solution development, security, and scalability
• Review technical designs, code, and AI workflows

AI / ML Engineering

• Build and deploy AI models using Azure OpenAI, Azure Machine Learning, Azure Cognitive Services
• Develop end-to-end ML pipelines including data ingestion, training, validation, deployment, and monitoring
• Implement RAG (Retrieval-Augmented Generation) architectures
• Optimize model performance, cost, and latency
• Ensure responsible AI practices including bias detection, explainability, and governance

Platform & DevOps

• Work with Azure DevOps, GitHub Actions , and CI/CD pipelines for AI workloads
• Deploy AI solutions using containers (Docker) and orchestration tools (AKS)
• Monitor and manage AI workloads for reliability and performance
• Collaborate with cloud, data, and security teams

Team & Stakeholder Management

• Mentor and lead AI engineers and data scientists
• Collaborate with product owners, architects, and business stakeholders
• Translate business requirements into technical AI solutions
• Provide project updates, technical guidance, and risk mitigation

Required Skills & Qualifications

• 812+ years of experience in AI/ML engineering , with at least 3+ years in a lead role
• Strong hands-on experience with Azure AI Foundry
• Expertise in Azure OpenAI, Azure ML, Cognitive Services
• Strong programming skills in Python (preferred)
• Experience with LLMs, GenAI, NLP , and prompt engineering
• Hands-on experience with RAG, vector databases , and embeddings
• Strong understanding of cloud-native architecture on Azure
• Experience with CI/CD, MLOps , and model monitoring
• Excellent communication and leadership skills

Good to Have

• Experience with multi-cloud AI solutions
• Knowledge of LangChain, Semantic Kernel , or similar frameworks
• Experience in enterprise AI governance and compliance
• Microsoft Azure certifications (AI Engineer, Solutions Architect)
• Experience working with regulated industries