Forward Deployed Engineer; FDE; Agentic AI & Enterprise Solutions

• Partner with business stakeholders to understand problem statements, workflows, and desired outcomes
• Convert business intent into AI enabled solution designs, agent workflows, and system architectures
• Own end to end delivery: prototype ? MVP ? production rollout
• Deploying enterprise complex systems integrations while solving critical business problems
• Drive rapid iteration while maintaining enterprise grade quality, security, and reliability

• Design and implement agentic workflows using enterprise agentic AI platforms
• Orchestrate multi agent systems that handle reasoning, planning, execution, validation, and monitoring
• Encode business logic, SOPs, policies, and controls into autonomous or semi autonomous agents
• Apply human in the loop, guardrails, and fallback mechanisms where required
• Work with frontier foundation models (LLMs, multimodal models) and enterprise approved model stacks
• Prompt design and prompt chaining
• Tool grounding and retrieval augmented generation (RAG)
• Knowledge graph and memory integration
• Optimize solutions for accuracy, latency, cost, and reliability

Leverage AI assisted development tools to accelerate delivery:

• Cursor
• AI assisted testing, code review, and refactoring tools
• Establish AI augmented engineering workflows across design, build, test, and release phases
• Coach teams on effective human AI collaboration in engineering

Design and implement intelligent CI/CD pipelines integrating:

• AI generated code and test artifacts
• Policy and control validation
• Automated security and compliance checks
• Integrate agentic workflows into Dev Sec Ops  / MLOps pipelines
• Ensure repeatable, auditable, and scalable deployments across environments

Ensure solutions comply with:

• Security, privacy, and data handling policies
• Model risk management and AI governance frameworks
• Regulatory and audit requirements (especially in regulated industries)
• Collaborate with platform, security, and governance teams to operationalize guardrails
• Contribute patterns, blueprints, and reusable assets to the enterprise AI platform
• Act as a trusted technical advisor to customers and internal stakeholders
• Present architectures, demos, and outcomes to engineering leaders, business heads, and executives
• Gather feedback from production usage and continuously improve solutions
• Serve as the "voice of the customer" back into platform and product teams

• Strong background in software engineering (backend, APIs, distributed systems)
• Experience building production grade cloud native platforms/applications
• Proficiency in at least one modern programming language (Python, Java, Go, or similar)
• Solid understanding of system design, scalability, and reliability
• Skilled in hyperscale platforms (AWS, GCP, Azure, Open Shift)

• Hands on experience with agentic AI frameworks and orchestration patterns (n8n, Lang Graph, Semantic Kernel, CrewAI, etc.)
• Experience working with LLMs / foundation models in enterprise settings (Claude, Gemini, OpenAI)
• Strong skills in prompt engineering, context engineering, and tool integration
• Understanding of RAG, memory systems, and knowledge grounding
• Spec driven development - Architecture, Security and Application frameworks.

• Practical experience using Cursor, Git Hub Copilot, or similar AI coding tools
• Familiarity with AI assisted testing, documentation, and code review
• Abilit…