Sr AI Engineer:8-10 years of experience in software development. 3+ years of hands on experience delivering AI/ML solutions in production environments. Proven experience building and deploying generative AI solutions using OpenAI compatible APIs. Demonstrated ability to lead end to end delivery of AI powered solutions across cross functional teams. Technical Skills: Advanced proficiency in Python for AI/ML development, experimentation, and automation. Strong experience with deep learning frameworks such as PyTorch, TensorFlow, and Scikit Learn. Solid understanding of RAG (Retrieval Augmented Generation) architectures, including vector databases and semantic search. Hands on experience with Azure OpenAI, LLM Gateway, Azure Functions, Azure Monitor, and Application Insights. Experience with cloud based AI and data services, including Databricks. Expertise in Azure Document Intelligence, OCR pipelines, and enterprise document processing. Experience or knowledge of agentic AI frameworks, AI Foundry patterns, LangFuse style observability, and enterprise search.
Familiarity with NLP, Speech AI, Vision AI, and both supervised and unsupervised machine learning techniques. Experience with GitHub and M365 Copilot in contemporary development workflows. Preferred Qualifications: Experience publishing research or contributing to open source AI initiatives. Experience designing AI systems for regulated or enterprise environments. Strong understanding of AI governance, responsible AI practices, and compliance frameworks. Prior experience mentoring technical teams or leading research initiatives. AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to: Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise. Applied Pro