AI Architect

Job description

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our clients, colleagues, and communities thrive in an ever-changing world.

Role Summary

We are seeking an AI Architect with deep hands-on experience in AI/ML and Generative AI to design and govern end‑to‑end solutions across application, data, and infrastructure layers. The Architect will own reference architectures, lead solution shaping, and ensure responsible AI practices across discovery, build, and run—covering LLM/RAG, agentic AI, LLMOps/MLOps, and cloud-native delivery.

Key Responsibilities:

Architecture & Design

• Define and evolve reference architectures for AI-powered solutions spanning data ingestion → model orchestration → inference services → application integrations; ensure scalability, security, and observability.
• Select and integrate LLMs (Azure OpenAI, Google, AWS) and design RAG pipelines with vector stores (e.g., Pinecone, FAISS, Azure Cognitive Search) and prompt strategies; optimize for latency/cost/accuracy.
• Architect agentic AI components (multi-agent workflows, gateways, registries, protocol interoperability) for complex enterprise use‑cases; establish guardrails and governance.
• Lead solution reviews, threat modeling, and Responsible AI compliance (privacy, bias, explainability, auditability).

Build, Integrate & Automate:

• Guide engineering on LLMOps/MLOps (model lifecycle, feature stores, CI/CD for ML, telemetry, A/B & canary releases) and integrate with DevOps toolchains; automate infra as code and pipelines for AI services.
• Orchestrate data and model services via microservices, event-driven patterns, and secure APIs; design plugins/connectors for Copilot/Power Platform when applicable.

Stakeholder Engagement & Governance:

• Translate business goals into AI solution roadmaps; run discovery workshops, backlog shaping, and architecture runway planning with product, data, and platform teams.
• Establish toll‑gates, NFRs, and KPIs for cost, quality, and time-to-value; drive continuous improvements through retrospectives and RCA across baseline/trial/test phases.

Required Skills & Experience:

Core Technical

• 15+ years overall; 3–5 years architecting AI/ML/GenAI solutions at scale.
• Hands-on with LLMs (GPT family, BERT/Transformers), prompt engineering, LLM optimization (context windows, adapters), RAG, and evaluation (golden sets, BLEU/BERTScore/semantic similarity).
• Cloud: Azure (incl. Azure AI, OpenAI, Cognitive Services), AWS (Bedrock/SageMaker), GCP (Vertex AI); containerization (Docker/Kubernetes) and service meshes.
• Data & Integration: SQL, NoSQL, data warehousing concepts (fact/dimension, SCD), ETL/ELT, streaming (Kafka/Event Hubs), API design, and secure integration (OAuth2/JWT/RBAC).
• LLMOps/MLOps & Automation: CI/CD for models, model registry, feature store, monitoring (tokens, drift, hallucinations), Python automation for infra and pipelines.

Engineering Practices

• Proficiency in Python, LangChain/LangGraph, vector DBs, and prompt/agent frameworks; strong Git, CI/CD, IaC, and Agile/Scrum delivery.

Architecture Leadership

• Prior ownership of complex AI solution designs, HLD/LLD, NFRs, and security/ compliance patterns; ability to mentor squads and lead design forums.

Preferred Skills

• Experience designing AI gateways, MCP (Model Context Protocol) implementations, and agent registries; familiarity with metadata standards (DCAT/JSON‑LD).
• Exposure to enterprise AI platforms/labs and accelerators
• Knowledge of infrastructure automation in DC/cloud (orchestration, provisioning) with AI workloads and GPU scheduling (K8s, NCCL, Triton).
• Prior work on Microsoft Copilot Studio solutions, conversational agents, and Power Platform extensibility.

Qualifications & Certifications

• B.Tech or Equivalent degree
• Certifications (any subset): Azure AI Engineer/Architect, Azure OpenAI, AWS/GCP AI, Databricks ML, Kubernetes

Diversity and Inclusion at Wipro

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, marital status, age, ethnic and national origin, sexual and political orientation and disability status, or any other characteristic protected by law.

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Extra information

Status

Open

Education Level

Secondary School

Location

London Area

Type of Contract

Full-time jobs

Published at

01-03-2026

Profession type

ICT

Full UK/EU driving license preferred

No

Car Preferred

No

Must be eligible to work in the EU

No

Cover Letter Required

No

Languages

English