Forward Deployed Engineer

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.

Team

You will work within a cross-functional delivery team that includes AI specialists, software engineers, architects, QA engineers, DevOps, and business stakeholders. The team operates in a collaborative and iterative delivery model, emphasizing experimentation, validation, and responsible deployment of AI solutions.

Position overviewWe 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.

Technology stackAI agent platforms, AgentCore, Claude, Microsoft Copilot, cloud platforms, APIs, data pipelines, workflow automation tools, frontend and backend technologies, observability and monitoring tools, testing frameworks, DevOps practices

• 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
• Requirements
• 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