Sr Solution Architect

– TCS (MEA)

– Dubai

Job type

– Full time

Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years.

TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions.

This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.

A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world’s best-trained consultants with 157 nationalities in 53 countries.

For more information, visit www.tcs.com and follow TCS news at @TCS_News.

Proficiency in designing and building multi-agent systems, agent orchestration, memory management, model routing, tool integration, and agent lifecycle management using frameworks such as AutoGen, Semantic Kernel, LangChain, CrewAI, or LangGraph.

Strong programming skills in Python, with extensive experience in AI/ML libraries, LLM SDKs, REST APIs, and enterprise integration frameworks.

Hands-on expertise with Azure OpenAI, Azure AI Search, Azure Document Intelligence, embeddings, vector stores, API Management, service principals, identity, and secure endpoint integration.

Experience in designing and deploying Retrieval Augmented Generation patterns, vector search, embedding pipelines, and knowledge retrieval systems at enterprise scale.

Expertise in cloud-native architecture, Kubernetes/AKS, containerized deployments, API gateway patterns, event-driven architecture (Event Hub, Service Bus, Kafka, Solace), and infrastructure-as-code.

Experience with CI/CD pipelines, Git-based engineering workflows, release governance, environment management, model versioning, and automated testing for AI systems.

Proficiency in AI observability tools (e.g., Opik, Langfuse, Arize), tracing, logging, monitoring dashboards, benchmarking, evaluation pipelines, and operational alerting.

Deep knowledge of Responsible AI principles, guardrails, prompt defense, PII protection, audit trails, model monitoring, human-in-the-loop controls, and regulatory compliance in AI systems.

***Minimum Qualifications:***

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Systems, or a related field.

Cloud, AI, architecture, or security certifications are preferred (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Certified Kubernetes Administrator, TOGAF).

***Minimum Experience:***

13+ years of hands-on experience in technology, with strong exposure to AI/ML platforms, cloud engineering, enterprise architecture, or platform engineering.

3+ years of direct experience with Generative AI, LLMs, RAG, embeddings, vector search, AI agents, or multi-agent orchestration in enterprise or regulated environments.

Experience working with large-scale production AI systems and real-time enterprise data.

***Knowledge and Skills:***

Strong understanding of enterprise AI platform design, agentic AI architecture, orchestration patterns, and the ability to translate complex business problems into scalable, reusable platform capabilities.

Deep understanding of AI governance, Responsible AI, model risk, data governance, information security, and compliance requirements in a regulated banking environment.

Ability to work with governance, risk, audit, and compliance stakeholders.

Excellent analytical and problem-solving skills with the ability to design end-to-end AI agent architectures, evaluate trade-offs, and make pragmatic technology decisions at enterprise scale.

Strong verbal and written communication skills, capable of explaining complex AI architecture to non-technical stakeholders, preparing board-ready presentations, and supporting executive-level discussions on AI strategy and funding.

Proven ability to work effectively across cross-functional teams, collaborating with AI engineers, data scientists, cloud engineers, DevOps, business leaders, risk, compliance, enterprise architecture, and external vendors.

Experience managing vendor relationships, reviewing architecture deliverables, driving delivery accountability, and ensuring external solutions align with enterprise platform standards and governance controls.

Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving enterprise challenges in a fast-moving banking environment.

Thank you for your interest in applying for this position with TCS.

We will review your application and will get back to you if we are considering your interest in this opportunity.

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