Senior Applied AI Engineer / Forward Deployed Engineer
Posted 2026-06-26Overview
Location: Fully Remote (Client Team Based in Minneapolis, Minnesota)Employment Type: Full-Time
Build Practical, Production-Ready AI Solutions for the Enterprise
Trissential is hiring a Senior Applied AI Engineer / Forward Deployed Engineer to join our client’s team and help design, build, and deploy AI solutions that solve real business problems in complex enterprise environments.
This is not a research-only role. It’s an opportunity to work closely with real users, tackle ambiguous challenges, and deliver production-ready AI systems that create measurable business value. If you thrive at the intersection of engineering, data, and business impact—and enjoy turning ideas into working systems—this role is built for you.
What’s in It for You?
Applied AI with Real Impact – Build AI-powered applications and workflows that directly improve enterprise operations and decision-making
Forward-Deployed Engineering Experience – Work closely with stakeholders to understand workflows and deliver tailored, high-value solutions
Ownership & Influence – Shape architecture decisions across LLM apps, RAG pipelines, APIs, integrations, and deployment strategies
Enterprise-Grade Systems – Integrate AI with Microsoft 365, Azure, SharePoint, SQL, APIs, and large-scale enterprise platforms
Fully Remote Flexibility – Collaborate with experienced teams while working from anywhere in the U.S.
Production-Focused Work – Focus on reliable, scalable AI systems—not just prototypes or demos
Your Role & 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
Skills & Experience You Should Possess
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
Bonus Points If You Have
Experience in a forward-deployed, consulting, or solutions engineering role
Hands-on experience with Azure AI Search or similar vector/hybrid search platforms
Experience with reranking, relevance tuning, and retrieval evaluation
Familiarity with frameworks such as LangChain, LlamaIndex, or Semantic Kernel
Experience with LLM evaluation frameworks and quality measurement
Background in building AI agents or workflow automation systems
Experience with Microsoft 365, SharePoint, Graph API, or Copilot Studio
Familiarity with Azure AI Foundry or similar tooling
Cloud architecture, CI/CD, observability, and production support experience in Azure
Education & Certifications You Need
Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field (or equivalent experience)
Microsoft or Azure certifications are a plus but not required
What We Offer
At Trissential, we partner with leading organizations to deliver impactful solutions while ensuring our consultants are supported, valued, and set up for long-term success.
Competitive Compensation –$75–$85 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
Paid Time Off – Offers paid time away from work
Fully Remote Work – Work from anywhere in the United States while collaborating with top-tier teams
Enterprise AI Exposure – Build real-world production AI systems integrated across enterprise platforms
Career Growth – Expand your expertise across cutting-edge AI technologies and enterprise architecture
Supportive Consulting Culture – Transparent communication, strong delivery support, and career advocacy
This role is open only to candidates authorized to work in the United States
Ready to Build AI Solutions That Actually Work?
If you’re excited about solving real business problems, working directly with users, and delivering production-ready AI systems, then this is your opportunity to make a meaningful impact.
Apply today and take the next step in your applied AI engineering career with Trissential