Forward Deployed AI Engineer – Technical Lead (Agentic AI, GenAI & Enterprise AI Solutions) | KBC Technologies | Abu Dhabi, UAE

KBC Technologies; Abu Dhabi; On-site; AED 260,000 - 420,000; Full time

Job summary

KBC Technologies is seeking a Forward Deployed AI Engineer – Technical Lead to design, build, and deploy enterprise-grade Agentic AI solutions within the aviation sector. This role combines hands-on engineering, technical leadership, enterprise architecture, and AI innovation to deliver production-grade multi-agent AI systems at scale.

You will work with stakeholders, architects, and engineering teams to implement LLM-powered solutions, RAG architectures, and AI-driven workflows, advancing

Qualifications

• Bachelor's Degree in Computer Science, AI, Software Engineering, IT, Data Science or related discipline.
• 8+ years of production software engineering experience.
• 4+ years of Generative AI, Applied AI, ML, or LLM-based solutions.
• Minimum 1 year hands-on Agentic AI development experience.
• Strong Python development expertise.

Responsibilities

• Design and deploy enterprise-scale Agentic AI solutions.
• Develop multi-agent systems and autonomous workflow orchestration platforms.
• Build Generative AI applications powered by Large Language Models (LLMs).
• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Integrate AI services into enterprise applications and operational workflows.
• Develop APIs, backend services, and AI microservices.
• Build scalable cloud-native AI platforms and solutions.
• Implement AI evaluation, monitoring, governance, and observability frameworks.
• Architect and manage vector database implementations and semantic retrieval systems.
• Support enterprise integrations with internal business systems and external services.
• Lead technical design reviews, architecture discussions, and engineering standards.
• Mentor engineers and promote engineering excellence across AI development teams.
• Collaborate with business, product, and aviation domain stakeholders.

Skills

Python

REST APIs

Distributed systems

Leadership

Mentoring

Education

Bachelor's Degree in Computer Science or related

Tools

Docker

Kubernetes

MCP

LangGraph

Semantic Kernel

OpenAI Agents SDK

Job description

Job Title: Forward Deployed AI Engineer – Technical Lead (Agentic AI, GenAI & Enterprise AI Solutions) | KBC Technologies | Abu Dhabi, UAE

Recruiting Company: KBC Technologies

Job Location: Abu Dhabi, United Arab Emirates

Job Type: Full-Time

Additional Information

• Enterprise AI Leadership Role
• Aviation Industry Focus
• Hands-On Technical Leadership Position
• Agentic AI & Generative AI Delivery Environment
• Experience Required: 8+ Years Software Engineering, 4+ Years AI/ML, 1+ Year Agentic AI

Position Summary

KBC Technologies is seeking a highly experienced Forward Deployed AI Engineer – Technical Lead to design, build, and deploy enterprise-grade Agentic AI solutions within the aviation sector. This role combines hands-on engineering, technical leadership, enterprise architecture, and AI innovation, making it ideal for professionals passionate about delivering production-ready multi-agent AI systems at scale.

Detailed Job Description

As a Forward Deployed AI Engineer – Technical Lead, you will work directly with stakeholders, product teams, architects, and engineering teams to design and implement advanced AI systems that solve real business challenges. You will be responsible for developing enterprise-grade Agentic AI platforms, LLM-powered solutions, retrieval-augmented generation (RAG) systems, and multi-agent workflows using modern AI orchestration frameworks. The role requires deep expertise across Generative AI, cloud-native development, enterprise integrations, vector databases, AI governance, and production deployment practices. You will lead technical decision-making while remaining actively involved in architecture, coding, prototyping, deployment, and optimization activities. This is an exciting opportunity to shape the future of AI within a large-scale aviation environment.

Key Responsibilities

• Design and deploy enterprise-scale Agentic AI solutions.
• Develop multi-agent systems and autonomous workflow orchestration platforms.
• Build Generative AI applications powered by Large Language Models (LLMs).
• Design and implement Retrieval-Augmented Generation (RAG) architectures.
• Integrate AI services into enterprise applications and operational workflows.
• Develop APIs, backend services, and AI microservices.
• Build scalable cloud-native AI platforms and solutions.
• Implement AI evaluation, monitoring, governance, and observability frameworks.
• Architect and manage vector database implementations and semantic retrieval systems.
• Support enterprise integrations with internal business systems and external services.
• Lead technical design reviews, architecture discussions, and engineering standards.
• Mentor engineers and promote engineering excellence across AI development teams.
• Collaborate closely with business, product, and aviation domain stakeholders.

Required Qualifications & Skills

• Bachelor's Degree in Computer Science, Artificial Intelligence, Software Engineering, Information Technology, Data Science, or a related discipline.
• 8+ years of production software engineering experience.
• 4+ years of experience in Generative AI, Applied AI, Machine Learning, or LLM-based solutions.
• Minimum 1 year of hands-on Agentic AI development experience.
• Strong Python development expertise.
• Proficiency in TypeScript, JavaScript, Java, or C#.
• Experience with Model Context Protocol (MCP).
• Deep knowledge of LLM application architecture and deployment.
• Strong experience with enterprise AI solution design and delivery.

AI & Agentic Framework Expertise

• LangGraph
• Microsoft Semantic Kernel
• CrewAI
• AutoGen
• OpenAI Agents SDK
• Similar multi-agent orchestration frameworks

Generative AI & Data Engineering Skills

• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• Embeddings
• Vector Databases
• Semantic Search
• AI Evaluation Frameworks
• AI Observability Platforms
• Guardrails and AI Governance Mechanisms

Software Engineering & Cloud Skills

• REST APIs
• Enterprise Integrations
• Microservices Architecture
• Cloud-Native Application Development
• Docker Containers
• Kubernetes
• CI/CD Pipelines
• DevOps Practices
• AWS, Azure, or Google Cloud Platforms
• Event-Driven Architectures

Nice-to-Have Skills

• Aviation technology experience.
• Experience deploying enterprise copilots and AI assistants.
• Exposure to AI governance and responsible AI frameworks.
• Knowledge of knowledge graphs and advanced reasoning systems.
• Experience with MLOps and AI platform engineering.

Recruitment Pro Tip

For Agentic AI leadership roles, hiring managers focus on real-world implementation experience rather than experimentation. Highlight projects where you designed and deployed multi-agent systems, implemented RAG architectures, integrated enterprise tools using MCP, orchestrated workflows with LangGraph or Semantic Kernel, and delivered measurable business outcomes such as automation improvements, operational efficiencies, cost reductions, or productivity gains. Demonstrating both architectural leadership and hands-on engineering expertise is often the strongest differentiator.