At a Glance
- Tasks: Drive innovation in AI, shaping enterprise strategies and architectures.
- Company: Join TCS, a purpose-led transformation company making a meaningful impact.
- Benefits: Competitive salary, health care, training resources, and wellness initiatives.
- Other info: Inclusive culture welcoming diverse backgrounds and abilities.
- Why this job: Be at the forefront of AI technology and influence real-world change.
- Qualifications: Experience in enterprise architecture and strong knowledge of AI platforms.
The predicted salary is between 80000 - 100000 £ per year.
Are you passionate about driving innovation and best practices in Artificial Intelligence? We have an exciting opportunity for you – AI Architect! TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
Drive data integrity, governance, and responsible AI adoption. Work with cutting‑edge digital and AI platforms. Enable automation, intelligence, and smarter decision‑making at enterprise scale.
As an AI Architect (Enterprise & Agentic Systems), you will:
- Define the AI architectural vision and shape the enterprise AI strategy and roadmap, ensuring AI solutions are scalable, secure, well‑governed, and aligned with business outcomes.
- Translate business opportunities into pragmatic AI architectures across data, models, platforms, and integrations, enabling reliable delivery at enterprise scale.
- Work within a supportive, inclusive, and collaborative community across data, engineering, security, and product teams.
- Guide delivery teams on AI patterns and best practices, including MLOps, LLMOps, evaluation, monitoring, and responsible AI.
- Influence stakeholders through evidence‑based architectural recommendations and help deliver AI capabilities that can be operated safely over time.
- Architect and govern multi-agent and agent-swarm systems at enterprise scale.
- Define agent safety, governance, observability, and testing standards.
- Establish AI guardrails, frameworks, governance models, and safety controls.
- Design human-in-the-loop optimisation to balance autonomy, reliability, and performance.
- Own patterns for agent reliability, performance tuning, and failure handling.
- Build and sustain an AI-first engineering culture across full-stack, platform, and SRE teams.
- Act as the final decision-maker for complex system design and enterprise-level architecture decisions.
- Mentor architects and senior engineers on AI-native and agent-based design principles.
- Design and govern enterprise-scale distributed systems with embedded AI capabilities.
- Architect and evolve agent orchestration platforms.
- Own observability, reliability, security, scalability, performance, and cost management (FinOps).
- Partner with CTOs and senior leadership on AI architecture strategy and roadmaps.
- Define long-term enterprise AI architecture blueprints.
- Own agent lifecycle planning and roadmaps from pilots to scale and retirement.
- Drive transformation from traditional SDLC to AI-native and agent-augmented development.
- Define patterns for spec-driven development, AI-assisted architecture extraction, drift detection, and AI-driven testing.
- Ensure AI is embedded across the entire software engineering lifecycle.
- Integrate SRE, SLOs, DevSecOps, Software Engineering, and Observability into a unified AI platform model.
- Own end-to-end AI lifecycle including model and agent selection, deployment, monitoring, governance, versioning, upgrades, and decommissioning.
- Establish standards for MLOps, AgentOps, and AI governance.
- Act as a business and portfolio SME for AI architecture.
- Baseline organisational AI skills, capabilities, and maturity, and define uplift roadmaps.
- Translate AI architecture into clear business value narratives.
Proven experience in enterprise architecture, platform engineering, or solution architecture within complex, large‑scale environments. Strong exposure to AI and GenAI platforms, including agent‑based and agentic architectures. Practical experience applying AI and intelligent automation safely at enterprise scale.
Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network. We offer health & wellness initiatives and sports events; Diversity, Inclusion and Wellbeing.
Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role. As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role.
Apply online now.
Digital Technology Architect employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Digital Technology Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and role thoroughly. Understand their projects and values, and think about how your skills align with their needs. This will help you stand out as a candidate who truly gets them.
✨Tip Number 3
Practice your pitch! Be ready to explain your experience and how it relates to the AI Architect role. Keep it concise but impactful, showcasing your passion for innovation and technology.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Digital Technology Architect
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Architect role. Highlight your experience with AI platforms and enterprise architecture, and show how your skills align with the job description.
Showcase Your Passion: Let your enthusiasm for driving innovation in AI shine through! Share specific examples of projects or experiences that demonstrate your commitment to responsible AI adoption and best practices.
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your achievements and how they relate to the responsibilities of the role. Avoid jargon unless it’s relevant!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the easiest way for us to review your details and get back to you quickly. Don’t miss out on this opportunity!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI, especially those relevant to enterprise architecture. Be ready to discuss how you've applied AI solutions in past projects and how they align with business outcomes.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex architectural challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your thought process.
✨Understand the Company’s Vision
Research TCS and understand their mission and values. Be prepared to discuss how your personal goals align with their purpose-led transformation approach and how you can contribute to making a meaningful impact.
✨Engage with Questions
Have insightful questions ready for your interviewers. This shows your interest in the role and helps you gauge if the company culture and projects align with your career aspirations. Ask about their AI governance models or how they ensure responsible AI adoption.