personio

AI Solution Architect

AMINA Bank

Abu Dhabi, UAE

Full-time

Senior · 5+ years experience

Onsite

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Microsoft AzureMicrosoft 365RAGAgentic AIPrompt EngineeringWorkflow Automation

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Act as the technology lead and solution design owner for AI and automation initiatives.
Partner closely with the Process Engineers to translate process improvement opportunities into feasible technology solutions.
Challenge assumptions and ensure that AI is applied only where it creates real value — not as a default solution.
Help shape the squad’s technical roadmap, delivery approach, and reusable solution patterns.
Provide technical guidance to AI engineers, full-stack engineers, and other contributors.
Design end-to-end solutions combining AI models, agentic workflows, APIs, business applications, data sources, and user interfaces.
Define when to use AI, workflow automation, rule-based automation, data-driven solutions, or traditional software engineering.
Design agentic AI patterns, retrieval-augmented generation flows, prompt orchestration, tool use, memory handling, and human-in-the-loop controls.
Ensure AI solutions are explainable, traceable, reliable, and suitable for a regulated banking environment.
Define guardrails, validation mechanisms, fallback paths, monitoring, and escalation points.
Work with process engineers to understand current-state processes, target-state designs, pain points, bottlenecks, and automation potential.
Translate business and process requirements into solution concepts, architecture decisions, and technical delivery plans.
Support prioritization of use cases based on feasibility, value, complexity, risk, and reusability.
Ensure solutions are not built on top of broken processes, but support a disciplined approach to simplification, standardization, and automation.
Support AI / full-stack engineers in building backend services, frontend interfaces, APIs, integrations, and AI-enabled workflows.
Review technical designs, integration patterns, and implementation choices.
Contribute hands-on where needed, especially in early solution design, prototypes, technical spikes, and complex integrations.
Ensure solutions follow sound software engineering practices, including testing, secure design, CI/CD, monitoring, and operational support.
Design solutions using Microsoft Azure, Azure AI Foundry, Entra ID, Microsoft 365, SharePoint, and related enterprise platforms where appropriate.
Ensure alignment with internal AI governance, security, data protection, software development, change management, and audit expectations.
Collaborate with Security, SRE, Data Engineering, Legal, Compliance, and Data Protection teams where required.
Support documentation of architecture decisions, risks, controls, and operational responsibilities.
Stay current with fast-moving developments in AI, agentic systems, automation tools, and engineering practices.
Evaluate new AI capabilities, frameworks, orchestration tools, and architectural patterns pragmatically.
Help build reusable standards, templates, reference architectures, and engineering practices for AI and automation delivery.
Coach others on responsible, effective, and practical use of AI technologies.
Strong technical background in software engineering, solution architecture, AI engineering, automation, or cloud-based application delivery.
Practical understanding of AI solution design, including large language models, prompt engineering, RAG, agents, tool use, model limitations, and evaluation approaches.
Experience designing systems that integrate with APIs, data sources, enterprise platforms, workflow tools, and business applications.
Good understanding of cloud architecture, preferably Microsoft Azure.
Ability to design secure, scalable, maintainable, and production-ready solutions.
Strong conceptual thinking combined with the ability to get into technical detail.
Experience working with cross-functional teams across business, process, engineering, security, and operations.
Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders.
Experience with process automation, workflow orchestration, or business process transformation.
Familiarity with process engineering concepts such as Lean, Six Sigma, BPMN, process mining, or value-stream thinking.
Hands-on exposure to AI agents, orchestration frameworks, RAG pipelines, Azure AI Foundry, Semantic Kernel, LangChain, n8n, Power Automate, or similar tools.
Full-stack engineering understanding, including backend services, frontend applications, APIs, databases, and integration patterns.
Experience in banking, fintech, financial services, or another regulated environment.
Familiarity with auditability, traceability, human oversight, access control, logging, and operational resilience requirements.
Proactive leader, not just a technical expert waiting for requirements.
Strong sparring partner for process engineering and business stakeholders.
Curious, hands-on, and motivated to continuously learn as AI evolves.
Pragmatic: able to distinguish between what is technically impressive and what creates real business value.
Comfortable working in ambiguity and shaping structure where none exists yet.
Strong ownership mindset from concept through production delivery.
Able to balance innovation, speed, security, governance, and maintainability.