Senior Applied AI Engineer / Forward Deployed Engineer

Overview

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 Apply To This Job