Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.
Prepare end-to-end stories: scoping an AI use case, data and model choices, failure modes, latency/cost tradeoffs, and how you shipped with non-technical stakeholders. Expect system design for applied AI and behavioral questions on ambiguous client work.
Strong fit if you enjoy embedding with customers, shipping applied AI under real constraints, and operating as a senior engineer who can both build and explain. Less fit if you prefer fully remote, research-only, or non-client work.
As a Senior Applied AI / Forward Deployed Engineer at Expleo, expect client-facing delivery: clarify business problems, prototype and harden models or LLM workflows, integrate them into existing systems, and hand off runnable solutions with documentation and stakeholder demos. Time splits across discovery, coding, evaluation, and on-site or remote client sessions as the engagement requires.
Prioritize production ML/LLM systems, evaluation and guardrails, API/integration work, cloud deployment, and clear client communication. No certification list was supplied for this posting.
The listing marks remote as no; expect a United States-based arrangement rather than fully remote.
Close collaboration with client teams—rapid problem framing, building in their environment, and delivering usable AI solutions, not only internal R&D.
Start with the company site at expleo.com and the official job description for stack and travel details.
Website: expleo.com
Public cache only — not an employee review.
Expleo is seeking a Senior Applied AI Engineer / Forward Deployed Engineer to design, build, and ship production-grade AI systems that solve genuine enterprise problems. This is a remote, full-time role open to candidates authorized to work anywhere in the United States. About the Role This is hands-on, applied engineering — not a research-only position. As a Senior Applied AI Engineer / Forward Deployed Engineer, you will embed alongside a client team, translate ambiguous business needs into working software, and deliver reliable AI applications that produce measurable value. If you enjoy operating at the meeting point of engineering, data, and business outcomes, this opportunity is for you. Key Responsibilities Collaborate with business and technical stakeholders to map workflows, pain points, and success metrics. Turn open-ended problems into clear designs, technical solutions, and delivery roadmaps. Build AI-powered applications using LLMs, APIs, and enterprise data, with production backends in Python (FastAPI or Flask). Develop and refine RAG pipelines: ingestion, chunking, embeddings, vector/keyword/hybrid search, reranking, relevance tuning, and source grounding. Integrate solutions with SharePoint, Microsoft Graph, SQL, internal APIs, and other enterprise platforms while respecting access control, governance, and compliance. Establish evaluation frameworks measuring accuracy, groundedness, latency, completeness, and failure modes. Iterate quickly from prototype to pilot to release, and document architecture, trade-offs, and operational needs. Qualifications 5+ years across software engineering, applied AI, or enterprise systems. Strong Python skills building production APIs and services. Hands-on experience with LLM applications and platforms such as Azure OpenAI or the OpenAI APIs. Proven track record designing RAG systems and a firm grasp of prompting, grounding, context management, and LLM limitations. Experience integrating enterprise data sources within secure, governed environments, plus excellent communication and systems thinking. Bonus: forward-deployed or solutions engineering background; Azure AI Search; LangChain, LlamaIndex, or Semantic Kernel; Microsoft 365, Graph API, or Copilot Studio; CI/CD and observability in Azure. Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or related field, or equivalent experience. Microsoft or Azure certifications are a plus. About Expleo Expleo partners with leading organizations to deliver high-impact solutions while keeping its engineers supported and set up for lasting…
Generated for personal interview prep · 2026-07-18 UTC · getajob.ai