Forward Deployed AI Engineer H/F
Paris
Posted 12d ago
Job Location
Paris
Tech Stack
Remote Work Policy
On-site
Categories
AI Engineer
About the job
This role is for a Forward Deployed AI Engineer who works directly within client enterprises to ensure complex AI platforms function effectively in real-world organizational settings. Unlike consulting or project delivery roles, this position focuses on owning production outcomes such as time-to-value, adoption, reliability, and scalability. The core challenge addressed is the gap between successful AI pilots and scaled AI capabilities, bridging it with engineers who can translate platform potential into measurable business value within enterprise environments. Forward Deployed AI Engineers are central to the company's Reinvention Deployment Engineering pods, offering opportunities to define the role at scale and tackle significant enterprise AI challenges across various industries.
Responsibilities
- Embed with client teams to deploy, scale, and operationalize AI platforms (e.g., Anthropic, OpenAI, Microsoft, Google) within enterprise environments.
- Own production outcomes end-to-end, focusing on business metrics like time-to-value, reliability, and adoption velocity.
- Translate ambiguous business problems into working production systems through rapid experimentation and prototyping.
- Design and govern AI architectures across the full enterprise stack, including identity, data, security, and workflow integration.
- Articulate business value and technical architecture to client CTOs, CFOs, and CISOs, shaping use case roadmaps and AI adoption strategies.
- Build reusable patterns, playbooks, and accelerators for clients to manage AI platforms independently.
- Lead design workshops, proofs of concept, and code-with sessions with client engineering and leadership.
- Codify delivery learnings to scale across engagements and contribute to the growth of the FDE practice.
Requirements
- 3-5 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
- Minimum 1 year of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production.
- Minimum 3 years of experience with AI platforms (e.g., OpenAI, Claude, Vertex AI, open-source models), including building abstraction layers.
- Minimum 10 years of experience in production deployment, CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
- Demonstrated end-to-end delivery ownership in a client-embedded environment.
- Proven ability to articulate business value and quantify deployment impact for financial stakeholders.
- Experience presenting to and building trust with senior client stakeholders (CTO, CFO, CISO level).