AI Forward Deployable Engineers

AI Forward Deployable Engineer

**RELOCATION TO ABU DHABI, UAE REQUIRED**

About us:

Insight is a Fortune 500-ranked global provider of hardware, software, cloud, and service solutions, providing clients the guidance and expertise needed to define, architect, implement and manage technology today while transforming for tomorrow.

Position Summary

We're building a Forward Deployed Engineering (FDE) team to work directly with our most strategic customers, designing and implementing cutting-edge AI solutions that drive real-world business impact. As one of our founding FDEs, you’ll deploy the latest generative AI technologies and infrastructure to solve high-stakes problems for some of the world’s most influential companies.

This role is perfect for customer-focused software engineers who enjoy building practical, custom software in fast-moving, high-impact environments. You'll work in small teams to rapidly prototype and deliver scalable AI solutions—such as LLM workflows and agentic systems—while collaborating closely with Sales, Solutions Engineers, and Customer Success to ensure our innovations meet real enterprise needs.

Primary Duties / Responsibilities

• Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints.
• Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs.
• Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance.
• Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams.
• Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution.
• Document best practices and lessons learned from client projects to contribute to internal knowledge bases.
• Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios.

Qualifications and Requirements

• Technical Expertise:
• Strong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch.
• Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks.
• Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems.
• Problem-Solving Ability:
• Proven ability to translate abstract business challenges into concrete technical solutions using generative AI.
• Strong analytical skills to evaluate model performance and optimize for specific use cases.
• Client-Facing Skills:
• Exceptional communication skills for explaining complex AI concepts to diverse stakeholders.
• Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively.
• Adaptability:
• Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain.
• Willingness to travel or work on-site with clients as required.

Requirements (Education, Certification, Training, and Experience)

• Up to date knowledge of AI offerings and market developments
• At least 3 years of experience in software engineering or applied machine learning roles.
• Direct experience working with customers on the development of AI-driven applications is highly desirable
• Passion for exploring the frontiers of generative and agentic AI technologies.
• Entrepreneurial mindset with a focus on delivering measurable business impact through innovative solutions.
• Commitment to continuous learning and staying at the forefront of AI advancements.

This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. As an FDE specializing in generative AI methods, you will have the opportunity to shape the future of enterprise AI adoption while solving some of the most complex challenges faced by leading organizations.