AI Architect - Cloud

AI Architect - Cloud

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

At a Glance

  • Tasks: Design and build scalable AI architectures for cloud solutions that transform industries.
  • Company: Join TCS, a leading tech company making a meaningful impact globally.
  • Benefits: Enjoy competitive salary, health care, training resources, and wellness initiatives.
  • Other info: Diverse and inclusive workplace with excellent career growth opportunities.
  • Why this job: Shape the future of AI while working on innovative projects with top brands.
  • Qualifications: Experience in AI architecture, cloud platforms, and strong collaboration skills required.

The predicted salary is between 80000 - 100000 £ per year.

Looking to shape the future of enterprise AI by building scalable and intelligent cloud ecosystems? We have an exciting opportunity for you!

Careers at TCS: It means more. 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.

In an AI Architect role, it means stepping confidently into shaping the technical foundation of intelligent systems—combining deep architectural expertise with practical engineering leadership to design AI solutions that are scalable, secure, and future‑ready. It’s about transforming complex AI and data capabilities into robust, enterprise‑grade architectures, guiding cross‑functional teams, and ensuring every design decision enables meaningful, measurable impact across the organization.

The Role:

  • Define the architectural blueprint and technology foundations for AI‑driven solutions that transform how customers in dynamic, data‑intensive industries operate, scale, and innovate.
  • Design robust, future‑ready AI architectures that enable automation, advanced analytics, and intelligent decision‑making across complex digital transformation programmes.
  • Guide engineering and data science teams in building secure, scalable, and ethical AI systems.
  • Shape end‑to‑end AI ecosystems—accelerating delivery, enhancing customer experience, strengthening operational resilience, and driving their journey toward a more intelligent, AI‑enabled future.

Your responsibilities:

  • Define the enterprise AI architecture vision and reference patterns; align them to business goals, risk posture, and engineering standards across cloud and hybrid environments.
  • Design secure, scalable AI solutions covering data ingestion, feature engineering, model training, inference, and continuous feedback loops.
  • Establish integration patterns (APIs, events, microservices) to embed model‑powered capabilities into existing platforms with clear service boundaries.
  • Define enterprise‑wide AI architecture guidelines, reusable components, and long‑term roadmap to ensure consistency and acceleration of AI initiatives.
  • Implement MLOps/LLMOps pipelines for versioning, CI/CD, approvals, and controlled promotion across environments; enforce reproducibility.
  • Work closely with product owners, data scientists, engineers, security teams, and business stakeholders to ensure architecture translates into high‑value solutions.
  • Enforce IAM least‑privilege with IAM Conditions, organization policies, and scoped service accounts; integrate BeyondCorp for zero‑trust access.
  • Operationalize observability using Cloud Logging, Cloud Monitoring, Error Reporting, Trace, and Profiler; build model/LLM telemetry dashboards and alerts.
  • Identify the right AI/ML frameworks, cloud services, model orchestration tools, and infrastructure components that align with business needs and scalability goals.
  • Architect APIs, microservices, and integration patterns that embed AI capabilities seamlessly into existing workflows and digital products.

Your Profile:

  • Design agentic AI architectures using multi‑agent orchestration patterns (planner‑executor, supervisor‑worker, tool‑using agents).
  • Define reference architectures for enterprise agent platforms integrating LLMs with systems of record (core banking, CRM, risk, payments).
  • Design audit‑ready agent interactions, tool usage logs, and decision provenance.
  • Select and standardize frameworks (e.g., LangGraph, Google ADK, MCP, A2A patterns).
  • Hands‑on expertise with agentic frameworks (orchestrators).
  • Experience with LLMs, prompt engineering, tool/function calling, memory management.
  • API‑first integration, event‑driven architectures, and data pipelines.
  • Exposure to AI quality metrics: task success rate, groundedness, containment, FCR.
  • Experience on Google Cloud Platform (preferred) or equivalent hyperscale.
  • Deep understanding of LLMs, generative AI, RAG patterns, vector databases, embeddings, and prompt/guardrail engineering.
  • Knowledge of MLOps / AgentOps, CI/CD, and observability.
  • Strong understanding of regulated financial services environments.
  • Proven experience implementing AI risk controls, model governance, and auditability.
  • Ensure alignment with FCA, PRA, data privacy, model risk management, and LBG internal policies.
  • Knowledge of banking processes: retail banking, lending, payments, compliance.
  • Strong experience designing end‑to‑end AI/ML architectures, including data ingestion, feature engineering, model training, deployment, and monitoring.
  • Hands‑on expertise with cloud AI platforms (GCP).
  • Strong knowledge of LLMOps practices, including CI/CD for models, model registries, feature stores, lineage tracking, and observability.
  • Experience architecting scalable real‑time, batch, and streaming inference systems with clear performance and reliability requirements.
  • Familiarity with secure cloud patterns, IAM, VPC design, and data protection.

TCS is consistently voted a Top Employer in the UK and globally. 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; we are the proud sponsor of the London Marathon.

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.

If you are an applicant who needs any adjustments to the application process or interview, please contact us.

AI Architect - Cloud employer: Tata Consultancy Services

Tata Consultancy Services in Birmingham is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. With competitive salary packages, comprehensive health care, and extensive training resources, employees are empowered to grow their skills and advance their careers in a supportive environment. Join TCS to be part of a forward-thinking team dedicated to optimising warehouse operations and delivering impactful solutions.

Tata Consultancy Services

Contact Details:

Tata Consultancy Services Recruitment Team

We think you need these skills to ace AI Architect - Cloud

AI Architecture
Cloud Computing
Data Ingestion
Feature Engineering
Model Training
MLOps
API Integration