Forward Deployed Engineer – Agentic AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Forward Deployed Engineer – Agentic AI based in the United States. This is a hands-on technical role focused on turning ambiguous business challenges into validated, production-ready GenAI and agentic AI solutions. You will work directly with clients to understand operational workflows, systems, data, and business constraints before shaping practical AI solutions. The role spans customer discovery, solution architecture, rapid prototyping, technical validation, and early production delivery. You will build thin end-to-end solutions using real or representative data, helping clients move from AI concepts to measurable business outcomes. Working across business, product, engineering, and technical stakeholders, you will translate complex AI capabilities into clear and actionable solutions. You will also help establish reusable solution blueprints, evaluation frameworks, and accelerators that strengthen future AI engagements. The environment is highly collaborative, fast-moving, and innovation-driven, with significant ownership and exposure to enterprise AI transformation initiatives. Lead discovery and solution-shaping activities for GenAI, agentic AI, and AI-enabled workflow transformation initiatives, partnering directly with client stakeholders, users, and technical teams. Work alongside account executives, product analysts, and technology specialists to develop early-stage opportunities, define scope, prototype solutions, and establish implementation roadmaps and effort estimates. Translate complex and ambiguous business challenges into practical AI solution architectures covering model selection, data access, orchestration, tool use, integrations, and production constraints. Build rapid proof-of-concepts and technical prototypes using real or representative systems and data, prioritizing speed, learning, and measurable impact. Evaluate and select appropriate AI frameworks, LLMs, vector databases, orchestration tools, cloud AI services, and agentic technologies based on customer requirements. Explain and present complex AI, architecture, and delivery concepts clearly to executives, business users, product teams, and engineers. Remain engaged through MVP or initial production release to preserve technical and business context, support delivery teams, and validate that solutions perform effectively in the customer's operating environment. Define evaluation frameworks and success criteria covering AI quality, accuracy, groundedness, tool-call reliability, latency, cost, adoption, and workflow effectiveness. Ensure solutions incorporate appropriate security, compliance, Responsible AI, observability, governance, and production-readiness practices. Capture field insights and convert them into reusable technical assets, including solution blueprints, evaluation frameworks, implementation patterns, and service accelerators. Requirements 8+ years of professional IT experience, including substantial hands-on experience in software engineering, system design, or related technical disciplines. At least 2 years of hands-on experience architecting or building GenAI or agentic AI systems using modern LLM ecosystems such as OpenAI, Anthropic, Gemini, Azure AI, or AWS Bedrock. Strong software engineering background with experience designing, prototyping, integrating, and deploying systems that combine LLMs, enterprise data, AI agents, and business workflows. Solid understanding of LLM orchestration, retrieval-augmented generation, vector databases, prompt engineering, tool calling, and agentic application patterns. Experience selecting and applying established engineering practices alongside emerging AI capabilities to create reliable, production-ready solutions. Proficiency with at least one major cloud platform, such as AWS, Azure, or GCP, including relevant AI/ML services. Experience with APIs, integration arc