Digital Implementation Architect

Digital Implementation Architect

Full-Time 80000 - 100000 £ / year (est.) No home office possible
Tata Consultancy Services

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. You will translate business opportunities into pragmatic AI architectures across data, models, platforms, and integrations, enabling reliable delivery at enterprise scale. You will work within a supportive, inclusive, and collaborative community across data, engineering, security, and product teams. You will guide delivery teams on AI patterns and best practices, including MLOps, LLMOps, evaluation, monitoring, and responsible AI. You will 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 Implementation Architect employer: Tata Consultancy Services

At TCS, we pride ourselves on being a purpose-led transformation company that not only drives innovation in Artificial Intelligence but also fosters a supportive and inclusive work culture. Our London office offers competitive salary packages, extensive training resources, and health & wellness initiatives, ensuring that our employees have the opportunity to grow and thrive while making a meaningful impact on communities and businesses alike.
Tata Consultancy Services

Contact Detail:

Tata Consultancy Services Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Digital Implementation Architect

✨Tip Number 1

Network like a pro! Reach out to people in your field, especially those already working at TCS. A friendly chat can open doors and give you insider info on the company culture and what they really value.

✨Tip Number 2

Prepare for the interview by diving deep into AI trends and TCS's projects. Show us that you're not just another candidate; you’re someone who’s genuinely excited about driving innovation and making an impact!

✨Tip Number 3

Practice your storytelling skills! Be ready to share specific examples of how you've tackled challenges in previous roles. We love hearing about your journey and how it aligns with our mission at TCS.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re serious about joining our team and contributing to our purpose-led transformation.

We think you need these skills to ace Digital Implementation Architect

AI Architecture
Enterprise Architecture
Data Governance
MLOps
Agent-based Systems
Automation
Performance Tuning
Observability
Security Standards
Software Engineering Lifecycle
Stakeholder Engagement
Cloud Platforms
Agile Methodologies
Problem-Solving Skills
Mentoring

Some tips for your application 🫡

Be Authentic: When you're writing your application, let your personality shine through! We want to see the real you, so don’t be afraid to share your passion for AI and how it aligns with our mission at StudySmarter.

Tailor Your Application: Make sure to customise your application to highlight your relevant experience and skills. Show us how your background in AI architecture can drive innovation and best practices within our team!

Showcase Your Achievements: Don’t just list your responsibilities; tell us about your accomplishments! Use specific examples to demonstrate how you've made an impact in previous roles, especially in areas like AI governance and enterprise architecture.

Follow Up: After submitting your application through our website, feel free to drop us a line to express your enthusiasm! A little follow-up can go a long way in showing your interest in joining the StudySmarter family.

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 your experience with AI platforms and how you've applied them in real-world scenarios.

✨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 Business Impact

Be ready to translate technical jargon into business value. Think about how your AI solutions can drive innovation and impact the bottom line for the company. This will show that you understand the bigger picture.

✨Engage with the Interviewers

Don’t just answer questions; engage in a dialogue. Ask insightful questions about their current projects and challenges. This shows your interest in the role and helps you assess if the company is the right fit for you.

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