Senior Applied AI Engineer / Forward Deployed Engineer

Responsibilities

• Partner with business and technical stakeholders to understand workflows, challenges, and success metrics
• Translate ambiguous problems into clear technical solutions, designs, and delivery plans
• Design and build AI-powered applications using LLMs, APIs, and enterprise data systems
• Develop production-grade backend services using Python and frameworks like FastAPI or Flask
• Build and maintain RAG systems, including document ingestion and normalization, chunking, metadata, and embedding strategies, vector, keyword, and hybrid search, reranking and relevance tuning, source attribution and grounding
• Integrate AI solutions with SharePoint, Microsoft Graph, SQL databases, internal APIs, and business applications
• Design secure systems that respect access control, governance, and enterprise compliance requirements
• Build observable, reliable, and maintainable AI workflows in production environments
• Establish evaluation frameworks for LLM systems (accuracy, groundedness, latency, completeness, and failure modes)
• Iterate rapidly through prototypes, pilots, and production releases based on user feedback
• Collaborate with engineering, data, security, and product teams to ensure adoption and long-term sustainability
• Make pragmatic technology choices across Azure OpenAI, Azure AI Search, and open-source tools
• Document architecture, decisions, trade-offs, and operational requirements

Requirements

• 5+ years of experience in software engineering, applied AI, or enterprise systems
• Strong Python development experience building production-grade APIs or services
• Hands-on experience with large language model applications
• Experience with Azure OpenAI Service, OpenAI APIs, or similar platforms
• Proven experience designing and building RAG systems
• Strong understanding of prompt design, grounding, context management, and LLM limitations
• Experience integrating with enterprise data sources, APIs, and document systems
• Ability to work directly with business stakeholders and translate needs into working solutions
• Experience working within secure, governed enterprise environments
• Strong communication, systems thinking, and problem-solving skills
• Ability to balance speed, usability, scalability, and maintainability.