Forward Deployed Engineer, Agentic AI
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About the Role
Forward Deployed Engineer, Agentic AI
About the Role
Redapt is building dedicated capacity to design, deploy, and optimize agentic AI solutions for clients. We are looking for a Forward Deployed Engineer: a technical, client-facing builder who can turn AI capabilities into working production systems inside customer environments.
This role blends an embedded, hands-on delivery model with the broader technical advisory work Redapt clients need to get real ROI from AI investments. You will write production Python code, sit in front of clients to explain technical tradeoffs in plain language, and help both customers and internal Redapt teams get more value out of their existing AI workloads. This role is intentionally broader than a typical FDE position, combining embedded delivery with elements of technical advisory work, such as token and model optimization, AI security, and workload ROI, that support long-term client success.
What You'll Do
Embedded Delivery & Engineering
- Embed directly with client teams to design, build, and ship production applications and integrations built on Claude models.
- Write and maintain production-quality Python code for AI integrations, agent workflows, and internal tooling.
- Set up and configure agentic harnesses (including Azure Foundry, AWS Bedrock, Claude Cowork-style deployments) so client teams can put AI to work on real business processes.
- Codify repeatable deployment patterns from client engagements and feed them back to the broader team so future engagements move faster.
Client Advisory & Stakeholder Engagement
- Present findings, architecture options, and recommendations directly to client stakeholders, translating technical concepts for both technical and non-technical audiences.
- Build durable, trusted relationships with client technical and business stakeholders over the life of an engagement.
- Work with internal teams to assess existing AI workloads and identify opportunities to improve ROI, whether through better architecture, tooling, or workflow redesign.
Model Optimization & AI Security
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