Description

Job Description

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

Key Skills

Education

Any Graduate