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 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.

Technology stack

AI 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