Summary
XD.AI is hiring a Senior Forward Deployed Engineer for an onsite, client-facing role based at the DGE Office in Abu Dhabi, UAE. The role involves designing and deploying AI solutions, redesigning business workflows, integrating enterprise systems, and taking applications from prototype through production. Candidates need at least five years of hands-on software engineering experience, strong programming and backend/API skills, and substantial experience with generative AI, LLMs, and RAG. The position also calls for cloud, containerization, and DevOps experience, along with strong client engagement skills.
The posting
As published on xdigit.ai. Pulled from the employer's site and shown as they wrote it.
Role Overview
As a Senior Forward Deployed Engineer — AI Transformation & Domain Rewiring, you will collaborate directly with government and enterprise clients to drive business transformation by designing, building, and deploying AI-powered solutions. Based at the DGE Office, you'll work in an ONSITE, client-facing environment in Abu Dhabi, UAE. This role is a unique blend of hands-on software engineering, AI solution architecture, workflow redesign, and client delivery. You will bridge the gap between business stakeholders and technical teams—identifying high-impact opportunities, leading AI transformation projects across domains like HR, Procurement, Finance, and Government Services, and reimagining processes to deliver measurable operational improvements and AI adoption.
Responsibilities
- Partner with business stakeholders and domain experts to analyze and rewire business processes for AI enablement.
- Identify inefficiencies in current workflows, define transformation roadmaps, and translate challenges into technical requirements and architectures.
- Design end-to-end AI and automation solutions, including generative AI applications, agent frameworks, RAG systems, and decision-support tools.
- Select and implement suitable models, frameworks, and technologies aligned to business needs for scalability, security, and governance.
- Architect and develop agentic AI systems capable of enterprise reasoning, tool/API use, and workflow execution in collaboration with human users.
- Build production-grade AI applications, backend services, APIs, integrations, and pipelines, connecting with enterprise systems (ERP, HR, CRM, workflow tools).
- Design knowledge systems leveraging document pipelines, embeddings, vector databases, hybrid search, reranking, and knowledge graphs; optimize for retrieval accuracy and reliability.
- Take solutions from prototype to robust production deployment: implement CI/CD, monitoring, security, reliability, and optimization controls.
- Lead technical reviews, mentor engineers, and foster best engineering practices within multidisciplinary teams.
- Drive adoption of AI and automation across organizations, ensuring measurable and sustained business outcomes.
Must have requirements
- Minimum 5+ years hands-on software engineering experience.
- Strong coding skills in Python, Java, TypeScript/JavaScript or equivalent languages.
- Proven experience building production backend systems and APIs with distributed systems and cloud-native architectures.
- Expertise in enterprise system integration.
- Substantial experience with generative AI solutions, large language models (LLMs), RAG architectures, prompt engineering, agentic systems, and LLM evaluation.
- Familiarity with at least some of: LangGraph, LangChain, Semantic Kernel, CrewAI, MCP integrations.
- Hands-on experience with Azure, AWS, or GCP; Docker; Kubernetes; and DevOps (CI/CD, infra-as-code, observability).
- Strong stakeholder engagement skills, able to work closely with business and client teams and deliver production solutions in enterprise environments.
- Proven ability to translate business challenges into scalable technical solutions with measurable outcomes.
Nice to have requirements
- Experience in government, banking, healthcare, or other regulated sectors.
- Background in designing AI governance, security, safety, responsible AI frameworks, and data privacy/auditability controls.
- Experience with additional AI frameworks: LlamaIndex, Hugging Face, OpenAI, Anthropic, Gemini APIs.
- Previous technical leadership or team lead experience.
- Demonstrated expertise in optimizing AI systems for reliability, explainability, and measurable business impact.
Perks and Benefits
- Opportunity to work at the forefront of AI transformation with high-impact government and enterprise projects in Abu Dhabi.
- Collaborative, mission-driven culture focused on innovation and continuous learning.
- Access to cutting-edge tools, technologies, and cloud resources.
- Competitive compensation and benefits package tailored to senior engineering talent.
- Professional development, mentoring, and clear growth pathways within a fast-growing, high-visibility environment.