Enterprise Agentic AI architecture

Synechron; Abu Dhabi; On-site; AED 180,000 - 240,000; Full time

Job summary

Synechron in Abu Dhabi seeks an Enterprise Agentic AI architecture expert with ~12+ years in software engineering, architecture, and enterprise delivery. You will lead design of multi-agent AI systems and banking chat capabilities, collaborating across IT, product, and security teams.

The role emphasizes hands-on AI engineering, Azure/AWS cloud, and matrix leadership to deliver secure, scalable AI solutions for financial services. Abu Dhabi-based, full-time role.

Qualifications

• Senior technologist with ~12+ years in software engineering, architecture, cloud/platform engineering and enterprise delivery.
• Minimum 4+ years hands-on AI engineering/architecture, including Generative AI and Agentic AI.
• Proven experience delivering banking agents or chat assistants integrated with enterprise systems.

Responsibilities

• Architect and deliver banking agent solutions aligned to enterprise systems.
• Design secure AI systems with zero trust and data privacy by design.
• Collaborate with engineering, product, cybersecurity, and data teams to implement AI platforms.

Skills

Enterprise Agentic AI architecture

Multi-agent systems

Autonomous workflows

LLMs

Prompt engineering

RAG technology

Azure AI

Cloud-native

Security architecture

Stakeholder communication

Tools

Microsoft Semantic Kernel

AutoGen

LangChain

LangGraph

Azure OpenAI

Kubernetes

Job description

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 FinLabs accelerators and strategic partnerships with AWS, Microsoft, Databricks, Salesforce, and ServiceNow, we enable clients to innovate fast and lead with confidence. For more information on the company, please visit our website or LinkedIn 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 Descriptions:

• 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, AutoGen, LangChain, LangGraph 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 and connectivity.
• Strong capability to collaborate with engineering, product, cybersecurity, infrastructure, operations, data, compliance and enterprise architecture teams.

Key Technical Skills:

• Enterprise Agentic AI architecture, multi-agent systems, autonomous workflows, human-in-the-loop design and full-fledged chat assistant architecture.
• LLMs, prompt engineering, context engineering, memory design, tool/function calling, agent orchestration, model/agent evaluation and cost/latency optimization.
• RAG architecture, semantic indexing, embeddings, vector databases, retrieval optimization, reranking, grounding, answer relevancy and explain ability patterns.
• MCP server architecture, tool registries, multi-tool integration, A2A, A2UI, agent interoperability protocols and AI ecosystem design.
• Azure AI, Azure OpenAI, AWS AI services, Amazon Bedrock, Kubernetes, serverless, microservices, APIs, event-driven architecture and observability.
• Security architecture for AI systems including zero trust, PII redaction, data masking, privacy controls, guardrails, secure logging and auditability.

Behavioral / Leadership Skills:

• Strategic architecture thinking with the ability to define enterprise standards, influence platform direction and simplify complex technical decisions.
• Strong stakeholder communication with the ability to present architecture options, risks, trade-offs and recommendations to senior leadership and ARB forums.
• Collaborative leadership style with the ability to work across business, product, engineering, cybersecurity, data and infrastructure teams.
• Hands-on problem-solving mindset, pragmatic decision making, ownership, mentoring capability and commitment to high-quality secure delivery.