Forward Deployed Engineer

Our Forward Deployed Engineer will be embedded with Sia's clients across the Middle East, turning generative AI prototypes into production-grade solutions that create measurable value in daily operations. As part of the Data & AI team in the Middle East, they will build beyond low-code, own the technical delivery of client builds, and act as the bridge between engineering teams and business stakeholders. The work is hands-on and varied, giving our Forward Deployed Engineer the opportunity to shape the role around their strengths, from agentic systems to enterprise integrations and AI adoption. Tasks may include but are not limited to: • Translate client business needs into scoped, deployable AI solutions with clear acceptance criteria and measurable outcomes • Design, build and deploy production-grade LLM systems, including RAG pipelines, tool-calling agents, workflow automation and conversational interfaces • Develop Python or TypeScript services, APIs, connectors and integrations with client data sources and business tools • Apply engineering best practice: code review, automated testing, CI/CD, logging and monitoring, and track quality, latency and cost of AI components • Deliver within governed enterprise environments, using approved libraries and services and respecting data access controls and security reviews • Communicate trade-offs, progress and risks to client stakeholders, and escalate scope changes early • Drive adoption through training, documentation and knowledge transfer so clients can run the solution themselves • Support business development by helping define client needs and shape technical solutions for the pipeline • Contribute to Sia's internal accelerators, research and training materials on generative AI and agents • Carry out other appropriate delegated duties as required As part of a diverse and motivated team, you will be involved in a range of projects with our clients, covering topics such as: • Generative AI and agentic solutions embedded in business processes • Integration of AI capabilities into enterprise systems and data environments • Adoption and capability building for client engineering and business teamsCompany Description • Degree in Computer Science, Data Science, AI or a related field • 2 to 6 years' experience in software engineering or applied AI engineering • Strong production experience in Python or TypeScript • LLMs and agents running in production, not only prototypes • Experience building RAG pipelines, tool-calling agents and LLM workflows, with evaluation and safeguards • Hands-on experience with applied AI frameworks such as LangChain, LlamaIndex, the OpenAI SDK and the Anthropic SDK • Experience building beyond low-code, including API design and integration across heterogeneous systems • Experience deploying solutions on a major cloud platform (AWS, Azure or Google Cloud), with Git and CI/CD • Experience working in governed enterprise environments (approved libraries and services, data access controls, security reviews) • Ability to translate client needs into deployable solutions and to explain technical decisions to non-technical audiences • No certification required • Professional proficiency in English is a must; Arabic is a plus • Based in the UAE (Dubai or Abu Dhabi)