Forward Deployed Engineer (FDE) is a hands-on engineer who works closely with client business and technology teams to design, build, and deploy AI-driven solutions that solve real, high-impact problems. This role blends strong software engineering fundamentals, GenAI expertise, and consulting skills to translate ambiguous requirements into production-ready solutions embedded directly into customer workflows.
FDEs operate at the intersection of engineering, AI, and customer delivery rapidly prototyping, deploying, and iterating solutions to drive measurable outcomes.
Key Responsibilities
- Client-Embedded Problem Solving:
Work directly with client stakeholders to understand workflows, pain points, and constraints, translating them into clear technical and AI use cases. - Solution Design & Development:
Build end-to-end solutions using Python/Java, APIs, data pipelines, cloud services, and GenAI technologies (LLMs, prompts, agents). - Rapid Prototyping & Delivery:
Develop and deploy prototypes and working solutions quickly, prioritizing speed-to-value and practical applicability over long development cycles. - Deployment & Integration:
Integrate solutions into existing enterprise environments, systems, and workflows while ensuring reliability, security, and scalability. - Stakeholder Communication & Demos:
Communicate complex technical solutions in clear business terms; support client demos, walkthroughs, and executive readouts. - Feedback & Continuous Improvement:
Capture insights from client usage and feedback, refining solutions and sharing learnings with internal and client delivery teams.
Required Qualifications
- Strong software engineering background with experience designing and building scalable systems.
- Hands-on development experience with Python(or Java) building production-grade applications and services.
- Hands-on experience applying AI Development Lifecycle (AIDLC)techniques to design and deliver AI solutions.
- Practical experience with GenAI / LLMs, including prompt engineering and GenAI-powered applications.
- Proven ability to work in ambiguous environments and deliver solutions end-to-end from problem definition through deployment.
Preferred Qualifications
- Experience with AI orchestration or agent frameworks(e.g., multi-agent systems, workflow-driven AI).
- Prior experience in the healthcare domain, including exposure to claims, clinical workflows, or regulated environments (HIPAA/CMS).
- Experience with workflow automation, dashboards, and enterprise integrations.