Overview

We are looking for a Forward Deployed Engineer who will work at the intersection of business and engineering to design, build, and implement AI-powered agent solutions. You will collaborate closely with business stakeholders and technical teams to translate real workflows into structured, working, and production-ready capabilities. This role combines hands-on engineering with business understanding, enabling you to contribute to impactful AI-driven solutions.
Project Overview:
You will be involved in an enterprise AI initiative focused on transforming business workflows into production-ready AI agent capabilities. The project aims to create governed, scalable, and reusable agent solutions that improve efficiency, decision-making, and knowledge work across the organization.

Responsibilities:
  • Work with business stakeholders to understand existing workflows and operational challenges
  • Identify opportunities where AI agents can improve efficiency, quality, and decision-making
  • Translate business needs into structured requirements, technical designs, and implementation steps
  • Build and configure AI agent prototypes using approved tools and platforms
  • Validate solutions with end users and iterate based on feedback
  • Collaborate with engineering, architecture, security, QA, and AI teams to ensure responsible solution design
  • Define agent behavior, including data access, tool integration, and human review points
  • Support testing and evaluation of agent outputs for quality, accuracy, and reliability
  • Prepare release documentation, including known limitations, user guidance, and operational procedures
  • Monitor adoption, user feedback, and performance after deployment
  • Capture reusable patterns, workflows, prompts, and implementation approaches for future use
Required Qualifications:
  • Hands-on experience in software engineering and application development
  • Experience working with APIs, integrations, and cloud-based systems
  • Ability to work across frontend, backend, data, and deployment layers
  • Practical exposure to AI tools, large language models, or workflow automation solutions
  • Experience translating business workflows into technical implementations
  • Strong problem-solving skills in environments with evolving requirements
  • Ability to communicate effectively with both technical and non-technical stakeholders
  • Experience documenting requirements, design decisions, and implementation details
  • Understanding of secure development practices, data access control, and testing approaches
  • Experience working within structured delivery models and producing clear handover materials
Nice To Have:
  • Experience with AI agent frameworks or orchestration tools
  • Exposure to prompt design and evaluation of AI model outputs
  • Familiarity with Agile delivery methodologies
  • Experience with observability, monitoring, and production support practices
  • Understanding of governance and compliance considerations for AI solutions
Note:

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