Senior AI Architect: GenAI, LLMs & GCP Systems

Wipro; West of England; On-site; GBP 100,000 - 150,000; Full time

Job summary

Wipro is seeking a Senior Architect to lead design and governance of enterprise AI/ML and Generative AI solutions on Google Cloud Platform (GCP). The role demands deep expertise in LLMs, Agentic AI, NLP, RAG architectures, and MLOps, with a focus on secure, scalable production systems that deliver measurable business value.

The ideal candidate will blend technical leadership with hands-on delivery, shaping AI strategy and standards across complex stakeholder groups within a global organization.

Qualifications

• 14+ years of overall IT experience.
• 5+ years in AI/ML solution architecture.
• 3+ years in Generative AI and LLM-based solution delivery.
• Experience designing enterprise RAG and Agentic AI solutions.
• Strong experience architecting secure and scalable AI platforms.

Responsibilities

• Lead the design, architecture, governance and delivery of enterprise-scale AI/ML and Generative AI solutions.
• Define AI solution strategies, drive technical direction and establish architecture standards.
• Ensure secure, scalable and production-ready AI systems with measurable business outcomes.
• Provide technical leadership across stakeholders and hands-on expertise in modern AI ecosystems.
• Oversee implementation of Generative AI, LLM-based solutions and agentic systems.

Skills

Experiment design

NLP & text analytics

Prompt engineering

AI agents

Multi-Agent Systems

Copilot & Conversational AI

BigQuery

Dataflow

Cloud Functions

GKE

Pub/Sub

IAM & Security

CI/CD for ML

Version control

Automated evaluation

Monitoring & Observability

Job description

Wipro is seeking a Senior Architect to lead design and governance of enterprise AI/ML and Generative AI solutions on Google Cloud Platform (GCP). The role demands deep expertise in LLMs, Agentic AI, NLP, RAG architectures, and MLOps, with a focus on secure, scalable production systems that deliver measurable business value.

The ideal candidate will blend technical leadership with hands-on delivery, shaping AI strategy and standards across complex stakeholder groups within a global organization.