Role Description
- The Client is looking for a Senior AI Forward Deployed Engineer to build and deploy AI solutions that improve business processes and decision-making.
- The candidate will work closely with business teams to understand their needs and deliver practical, production-ready AI solutions.
Key Responsibilities
- Design, build, and deploy end-to-end AI solutions.
- Develop AI workflows using GPT, Claude, Azure OpenAI, and Microsoft Copilot.
- Integrate AI into existing business tools and processes.
- Work with stakeholders to understand requirements and deliver effective AI solutions.
- Manage the complete project lifecycle, from planning and development to testing and deployment.
- Ensure AI solutions are reliable, scalable, and deliver measurable business value.
Requirements
- Proven experience deploying AI solutions in production.
- Hands-on experience with Large Language Models (LLMs) such as GPT, Claude, Azure OpenAI, or Microsoft Copilot.
- Strong understanding of AI workflows and automation.
- Ability to independently manage AI projects from design to deployment.
- Good problem-solving, communication, and stakeholder management skills.
Preferred
- Experience with Azure AI services and cloud platforms.
- Knowledge of AI agents, prompt engineering, or workflow automation tools.
- Experience integrating AI with enterprise applications.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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