Senior Applied AI Engineer / Forward Deployed EngineerExpleo

Acteur mondial de l'ingénierie, de la technologie et du conseil, Expleo accompagne des entreprises reconnues dans leur innovation afin d'accélérer leur réussite.

Nous nous appuyons sur plus de 40 ans d'expérience dans le développement de produits complexes, l'optimisation des processus de fabrication et la performance des systèmes d'information. Notre expérience sectorielle nous permet d'apporter à nos clients une expertise approfondie propre à stimuler l'innovation à chaque étape de la chaîne de valeur. Le groupe réalise un chiffre d'affaires annuel d'un milliard d'euros.

Expleo est un groupe responsable qui s'engage à placer l'éthique et la diversité au centre de ses pratiques, ainsi qu'à œuvrer pour une société plus durable et plus sûre.

Chez Expleo, épanouissez-vous au cœur d'une communauté de 19 000 collaborateurs hautement qualifiés qui fournissent des solutions à forte valeur ajoutée dans 30 pays.

Notre politique de recrutement est engagée en faveur de l'intégration et du maintien dans l'emploi des personnes en situation de handicap.

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…