Senior Applied AI Engineer / Forward Deployed Engineer
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Job Description
Senior Applied AI Engineer developing production-ready AI solutions for enterprise environments. Collaborating with users and stakeholders to create measurable business value.
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.
Benefits:
- Medical, dental, vision
- Free tele-health
- HSA with company contribution
- Life and disability insurance
- 401k with matching
- Paid Time Off
- Fully Remote Work
- Enterprise AI Exposure
- Career Growth
- Supportive Consulting Culture
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