Forward Deployed AI Engineer – Technical Lead on-site

Forward Deployed AI Engineer – Technical Lead (Abu Dhabi, on-site)

Europe, Ukraine HOT

This is an on-site position in Abu Dhabi, UAE. We are looking for a hands-on technical leader to define the direction of an AI engineering squad embedded within a complex operational business.

You will work directly with stakeholders to understand business challenges and their underlying drivers, then design, build, deploy, and operate agentic AI systems that deliver measurable outcomes. This is a build-first role with end-to-end ownership, combining production engineering, technical leadership, and internal capability development.

• Begin every initiative by clarifying the business problem, objectives, desired outcomes, and how success will be measured.
• Partner directly with stakeholders and lead solutions from discovery and architecture through production deployment, operation, and continuous improvement.
• Challenge assumptions, identify underlying operational drivers, and recognize when AI is not the appropriate solution.
• Design, build, deploy, and continuously improve enterprise-grade agentic AI applications as the primary engineering approach.
• Develop AI agents capable of multi-step reasoning, tool and API orchestration, context management, exception handling, and human-in-the-loop workflows at enterprise scale.
• Implement Retrieval-Augmented Generation solutions, including data ingestion, chunking, vector representations, vector search, retrieval optimization, grounding, and source traceability.
• Connect AI systems to enterprise platforms through Model Context Protocol (MCP), REST APIs, OpenAPI specifications, webhooks, messaging, and event-driven architectures.
• Create reusable, self-service AI services and interfaces that can support multiple business domains.
• Apply structured LLM engineering practices, including tool calling, schema validation, retries, fallbacks, guardrails, and clear recovery paths.

• Own solution quality from inception through operation, including testing, evaluation, observability, structured logging, version control, and continuous feedback mechanisms.
• Optimize deployed solutions across accuracy, reliability, performance, security, latency, and cost.
• Apply security, privacy, access-control, auditability, responsible-AI, and governance requirements throughout solution design and operation.

• Own business outcomes within a defined domain and remain accountable for successful delivery and measurable impact.
• Define technical direction, architecture standards, and build-versus-buy decisions for AI initiatives.
• Establish reusable patterns, frameworks, and engineering standards that strengthen internal AI capabilities.
• Design robust multi-agent systems, agent-to-agent communication patterns, tool-orchestration standards, and evaluation frameworks.
• Work closely with product owners, AI architects, engineers, and business stakeholders across discovery and delivery.
• Lead technical engagements with external technology providers while keeping internal capability development at the center.
• Mentor engineers, conduct technical reviews, and raise standards across quality, security, reliability, and cost optimization.

• Demonstrated curiosity and a strong drive to understand complex business and operational challenges before proposing a solution.
• A business-first, human-centered approach that treats AI as a way to augment people rather than replace them.
• Excellent English communication skills and experience working effectively in diverse, international teams.
• 8+ years of experience building production-grade software, including 4+ years with Generative AI, Large Language Models,…