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Home/Jobs/GenAI Solution Architect
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Deeplight

GenAI Solution Architect

🇦🇪 Abu Dhabi, UAE🏢 On-site
GenAISolution ArchitectureAILLMRAGAzure OpenAILangChainVector Databases
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DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

The GenAI Solution Architect is a high-impact leadership role responsible for the design, orchestration, and scaling of ADCB’s Artificial Intelligence ecosystem. You will serve as the master designer for intelligent customer and employee journeys, bridging the gap between ambitious product visions and robust, enterprise-grade technology. This role focuses on the structural integration of Generative AI, Large Language Models (LLMs), agentic workflows, and RAG pipelines into the Bank's broader digital value streams. You are not just designing models; you are architecting secure, compliant, and highly scalable systems that redefine how the Bank operates in a digital-first world.

As the GenAI Solution Architect, your responsibilities include:

• Architecting end-to-end solutions for Conversational AI, LLM-based agents, and enterprise knowledge platforms (RAG) that align with the Bank's strategic roadmap.
• Evaluating and selecting the optimal stack (e.g., Azure OpenAI, LangChain, Vector Databases) while promoting the reuse of APIs and microservices to minimize technical debt.
• Guiding and coaching tech leads and engineering squads across AI architecture principles, ensuring high-quality technical builds in a scaled agile model.
• Developing and maintaining comprehensive solution architecture documentation to support platform-level governance and regulatory compliance.
• Acting as the primary technical voice to internal stakeholders, translating complex AI capabilities into clear business value propositions and product requirements.
• Leading the rapid prototyping of emerging capabilities like multimodal AI and agentic systems, balancing speed-to-market with enterprise security.
• Supporting, Coaching and Mentoring more junior members of the team, when required
• Additional responsibilities on occasion, on management requestAs an AI consultancy, our greatest asset is the expertise of our people.

While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.

We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.

You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.

If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.

Requirements

To be successful in this role, we need you to have:

• 6+ years experience in technology architecture, with a minimum of 3 years dedicated specifically to AI/ML solution design.
• A Bachelor’s degree in Computer Science, AI, or Software Engineering. A Master’s degree is highly preferred.
• Be Azure or AWS Solution Architect certified.
• Previous experience in banking or financial services.
• Deep expertise in architecting RAG pipelines, embeddings, and vector databases (Pinecone, FAISS).
• Advanced knowledge of Azure and AWS ecosystems, specifically for AI/ML deployments and serverless architectures.
• Proven ability to define backlog items (Epics/Features) and mentor engineering teams in a Scaled Agile framework.
• Strong grasp of microservices, API design patterns, and enterprise data products.
• A firm commitment to ethical AI principles, explainability, and governance within a highly regulated environment.It would be beneficial if you also had:

• A proven ability to anticipate the evolution of agentic systems and assess their long-term applicability to banking.
• Be skilled in articulating the ROI of AI solutions to non-technical senior leadership.
• Experience in proactively identifying architectural risks, from data privacy leaks to model performance bottlenecks.
• Experience in actively engaging with the global AI community to stay ahead of trends like PEFT (Parameter-Efficient Fine-Tuning) or RLHF.Benefits

Benefits & Growth Opportunities:

• Competitive salary.
• Visa Sponsorship for the successful individual.
• Comprehensive health insurance for the successful individual.
• Professional development and certification support.
• Opportunity to work on cutting-edge AI projects.
• Career advancement opportunities in a rapidly growing AI company.This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

Requirements

  • •Expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration
  • •Experience with practical understanding of complex business operations
  • •Experience in designing, orchestrating, and scaling AI ecosystems
  • •Experience bridging the gap between product visions and enterprise technology
  • •Experience with structural integration of Generative AI, Large Language Models (LLMs), agentic workflows, and RAG pipelines
  • •Experience architecting secure, compliant, and scalable systems
  • •Experience evaluating and selecting optimal tech stacks
  • •Experience guiding and coaching tech leads and engineering squads on AI architecture principles

Nice to Have

  • •Compelling communication skills
  • •Persuasive advocacy for technical decisions
  • •Experience building trust and selling vision to high-level stakeholders

Responsibilities

  • •Architect end-to-end solutions for Conversational AI, LLM-based agents, and enterprise knowledge platforms (RAG)
  • •Evaluate and select optimal technology stacks
  • •Promote the reuse of APIs and microservices
  • •Guide and coach tech leads and engineering squads across AI architecture principles
  • •Develop and maintain comprehensive solution architecture documentation
  • •Act as the primary technical voice to internal stakeholders
  • •Translate complex AI capabilities into clear business value propositions and product requirements
  • •Lead the rapid prototyping of emerging capabilities like multimodal AI and agentic systems

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