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This is a great opportunity for an experienced senior level Software Engineering Lead to use their experience with generative AI to design, build, and scale AI driven applications that deliver measurable business outcomes. This role is a blend of hands-on architecture, development, coaching and mentoring, technical leadership, client-facing execution, and a strong emphasis on Azure-based AI platforms, LLM integrations, and agentic systems for fast AI experimentation pilots. If you are a software engineering lead professional who is on the leading edge of AI and building efficiency, this is a great opportunity.
Required Skills:
Must have 10+ years’ experience in full stack software engineering
Must have 5+ years’ experience as a software development lead
Must be able to serve as technical lead / SME across an organization’s AI tools and services
Must have experience delivering multiple AI use cases into production at scale
Must have a solid understanding and experience with generative AI in the software development space
Must be able to architect and deliver production-grade LLM-powered applications, including chat, document intelligence, and agentic workflows
Must be able to mentor onshore and offshore engineering teams on use of AI to improve code quality, architecture discipline, and delivery velocity
Must be able to design scalable, secure, cloud-native systems using Azure, Docker, Kubernetes, and event-driven architectures
Programming experience with Python, C#, JavaScript/TypeScript, SQL is ideal
AI experience with Azure Foundry, LangGraph, Semantic Kernel, DSPy, and LLM prompt engineering is ideal
Experience with cloud and devops technologies like Azure, Docker, Kubernetes, CI/CD, Terraform, and Jenkins is ideal
Experience with frameworks and APIs including .NET, FastAPI, Node.js, GraphQL, and React is ideal
Any experience with data and search technologies like Snowflake, Databricks, PostgreSQL, SQL Server, and Azure AI Search is a plus
Must be able to design and implement prompt engineering, evaluation frameworks, and observability for AI systems
Must be able to ensure enterprise standards for authentication, authorization, and system integration
Must be able to collaborate on requirements gathering, solution design, and development with other IT app dev and business stakeholders
Must be able to translate business problems into AI-enabled and agentic solutions
Must be able to design systems capable of processing high-volume documents and transactions with accuracy and traceability
Must be able to continuously iterate solutions based on real-world usage and feedback
Must be a self-starter who can work independently but also with a team with little oversite
Must be able communicate with various IT teams as well as business stakeholders on occasion
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