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Enterprise Agentic AI architecture

Job in Abu Dhabi, UAE/Dubai
Listing for: Synechron
Full Time position
Listed on 2026-09-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 180000 - 240000 AED Yearly AED 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Greetings,

We have an immediate opening for an Enterprise Agentic AI architecture position at Synechron in Abu Dhabi
.

  • Role

    Title:

    Enterprise Agentic AI architecture
  • Experience:

    12+ Years
  • Location:

    Abu Dhabi
  • Employment type:

    Full-time
  • Domain:
    Banking

About Company:

Synechron is a global technology consulting firm that helps leading organizations accelerate digital transformation through innovation, expertise, and agility. With more than 16,700 professionals across around 60 offices in over 22 countries, we combine deep industry knowledge with advanced capabilities in AI, cloud, cybersecurity, and data engineering.

Our regional teams, supported by strategic delivery centers, provide scalable, cost-efficient solutions tailored to local markets. Through our award-winning Synechron Fin Labs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and Service Now, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or Linked In community.

Synechron:
Technology and AI Consulting for Business

Synechron is an innovative global consulting firm delivering industry-leading digital solutions to transform and empower businesses.

Diversity, Equity, and Inclusion

Synechron’s Diversity, Equity, and Inclusion (DEI) program, Same Difference, was developed because we believe in a culture of listening, respect, and opportunity.

We each bring unique backgrounds, thoughts, talents, and experiences with us to work every day, and we know that by embracing them, we are creating an even greater Synechron. The best way to build a strong team is to value individual differences. So, it doesn’t matter where you’re from or what you’ve had to do to get here – if you have the skills, enthusiasm, and drive to make your mark, we’ll support you like we support each other.

Choose a career with us and let’s pursue innovation, together.

Job Description s:

  • Senior technology professional with around 12+ years of experience across software engineering, architecture, cloud/platform engineering and enterprise solution delivery.
  • Minimum 4+ years of hands-on AI engineering or AI architecture experience, including Generative AI, LLM applications and Agentic AI solutions.
  • Proven experience architecting and delivering multiple banking agents or full-fledged banking chat assistant capabilities integrated with enterprise systems.
  • Strong understanding of banking systems, retail banking journeys, payments, transfers, servicing, customer self-service, operational controls and regulatory/security considerations.
  • Full AI Engineer capability including Python, API integration, microservices, event-driven design, RAG implementation, model/agent evaluation and cloud-native deployment practices.
  • Hands-on experience with agent frameworks and orchestration platforms such as Microsoft Semantic Kernel, Auto Gen, Lang Chain, Lang Graph and similar frameworks.
  • Experience architecting MCP servers, tool integration layers, agent-to-agent communication, UI integration patterns and agent interoperability protocols such as MCP, A2A and A2UI.
  • Strong experience with Azure AI services, Azure OpenAI Service, AWS AI services, Amazon Bedrock and related model deployment/management capabilities.
  • Experience designing secure AI systems with zero trust principles, identity and access controls, data protection, secure API design, PII redaction and privacy-by-design controls.
  • Experience presenting solution architecture, trade-off analysis, ADRs and architecture recommendations to ARB or equivalent architecture governance forums.
  • Experience recommending infrastructure architecture for AI platforms including compute, Kubernetes, serverless, vector databases, observability, monitoring, data pipelines…
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