AI Solution Architect - Industrial AI

Tata Consultancy Services; Riyadh; On-site; SAR 260,000 - 420,000; Full time

Job summary

Tata Consultancy Services (TCS) is seeking an AI/GenAI solution architect in Riyadh to lead enterprise-scale deployments across hybrid environments, OT, edge, on‑premise and cloud. The role emphasizes translating business needs into secure, scalable architectures with strong stakeholder collaboration.

Candidates should have proven experience in designing AI/ML platforms, MLOps, and integration patterns, plus familiarity with industrial cybersecurity standards. Saudi-based, full-time position.

Qualifications

• Architect enterprise-scale AI/ML or GenAI solutions from design to production.
• Define non-functional requirements: availability, performance, scalability, observability, cybersecurity.
• Translate business needs into secure, scalable AI architectures.

Skills

Enterprise AI/ML architecture

AI platforms & MLOps

Hybrid cloud & edge design

Security & cybersecurity requirements

Stakeholder communication

Job description

Company – TCS (MEA)

Job type – Full time

About Us:

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.

Job Description:

Desired Competencies (Technical / Behavioral):

Must-Have:

• Proven experience architecting enterprise-scale AI/ML or GenAI solutions from design through production deployment.
• Strong knowledge of AI platforms, agentic workflows, integration patterns, APIs, data architecture and MLOps.
• Ability to design secure hybrid architectures spanning OT, edge, on-premise and cloud environments.
• Experience defining non-functional requirements for availability, performance, scalability, observability and cybersecurity.
• Strong stakeholder communication and ability to translate business and engineering needs into solution architecture.

Good-to-Have:

• Experience in Oil & Gas, refinery, industrial IoT or digital twin programs.
• Knowledge of retrieval-augmented generation, knowledge graphs and engineering document intelligence.
• Familiarity with industrial cybersecurity standards and model governance practices.

Application Deadline: 10-October-2026

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