Forward Deployment Engineer

About HUMAIN

HUMAIN, a PIF company, is a global artificial intelligence company delivering full-stack AI capabilities across four core areas—next-generation data centers, hyper-performance infrastructure & cloud platforms, advanced AI Models, including the world’s most advanced Arabic LLMs built in the Arab world, and transformative AI Solutions that combine deep sector insight with real-world execution.

HUMAIN’s end-to-end model serves both public and private sector organizations, unlocking exponential value across all industries, driving transformation and strengthening capabilities through human-AI synergies. With a growing portfolio of sector-specific AI products and a core mission to drive IP leadership and talent supremacy worldwide, HUMAIN is engineered for global competitiveness and national distinction.

About the Role

We are looking for a Forward Deployment Engineer (FDE) who combines deep software engineering expertise with hands-on AI experience and strong customer problem-solving capabilities.

This is not a traditional Data Science or Solutions Architecture role.

You will work directly with customers to identify high-value business problems and solve them by building production-grade solutions on top of HUMAIN’s AI technology stack . You will own the technical journey from problem discovery and solution design through implementation, deployment, adoption, and live operation.

The ideal candidate is a T-shaped engineer —technically deep across software engineering, AI and data, with the breadth to understand customer challenges, architect solutions, deploy them into production, and drive measurable business outcomes.

What You Will Do

• Embed with customers to understand complex and often ambiguous business and operational problems.
• Identify high-value customer problems, diagnose root causes, and translate them into clear technical requirements and deployable solutions.
• Design and build production-grade AI-powered applications on top of HUMAIN’s technology stack.
• Own customer problems end-to-end—from discovery and rapid prototyping through production deployment, adoption, and live operation.
• Build and integrate LLMs, RAG, Agentic AI, AI Agents, AI Copilots, and intelligent automation into enterprise workflows.
• Develop backend services, APIs, integrations, and data pipelines required to operationalize AI solutions.
• Integrate solutions with customer applications, enterprise systems, databases, APIs, and existing technology environments.
• Rapidly prototype solutions, validate them with customers, iterate based on real-world feedback, and scale successful implementations.
• Work closely with Product, Engineering, AI, Data, and customer teams to remove technical blockers and accelerate delivery.
• Support technical discovery, solution shaping, demonstrations, feasibility assessments, and Proof-of-Value engagements.
• Drive customer adoption and quantify the business impact of deployed solutions.
• Establish strong engineering practices, technical standards, and solution governance across customer implementations.

What We Are Looking For

• Strong experience in Software Engineering, Applied AI, Machine Learning Engineering, Forward Deployment, Solutions Engineering, or AI Solution Architecture .
• Proven track record of building and deploying production-grade software and AI solutions , beyond Proofs of Concept.
• Strong hands-on programming capability, particularly in Python , with experience building APIs, backend services, integrations, or full-stack applications.
• Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI / AI Agents, embeddings, vector databases, or AI orchestration frameworks .
• Strong understanding of production software architecture and engineering practices.
• Experience with Docker, Kubernetes, CI/CD, cloud platforms, MLOps, model serving, monitoring, and production deployment .
• Ability to operate independently in ambiguous customer environments and take ownership from problem identification through live operation.
• Strong customer-facing and communication skills, with the ability to work effectively with engineers, business stakeholders, and executive sponsors.
• Ability to translate complex technical concepts into clear business language and connect technical solutions to measurable outcomes.

Preferred Experience

• Exposure to the Banking, Financial Services & Insurance (BFSI) sector within overall relevant experience.
• Experience across Banking, FinTech, Payments, Insurance, Wealth Management, Capital Markets, Risk, Fraud, AML/KYC, or other regulated environments.
• Experience delivering enterprise AI solutions directly within customer environments.
• Experience with AI platforms, cloud-native architectures, distributed systems, and enterprise integrations.
• Hands-on experience with technologies such as LangChain, LangGraph, LlamaIndex, MLflow, Hugging Face, FastAPI, vLLM, vector databases, Kubernetes, or similar technologies .
• Experience supporting pre-sales, technical workshops, solution demonstrations, feasibility assessments, or customer implementation engagements.

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, or a related technical discipline.

Relevant cloud, AI, Machine Learning, or software engineering certifications are advantageous.

Ready to build what's next?

This is where your potential meets the work shaping the future of AI. Join HUMAIN, contribute to real projects from day one, and grow alongside the people building the AI era.

Apply now.