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Wipro

Senior Architect AI

Bristol
Posted about 23 hours ago
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Role: Senior Architect – GCP, GenAI & Agentic Systems

LOCATION: Onsite (Bristol)

Job Description

Looking for an experienced Senior Architect to lead the design, architecture, governance, and delivery of enterprise-scale AI/ML and Generative AI solutions. The role requires deep expertise in LLMs, Agentic AI, NLP, RAG architectures, MLOps, and cloud-native AI platforms on Google Cloud Platform (GCP).

The architect will be responsible for defining AI solution strategies, driving technical direction, establishing architecture standards, and ensuring secure, scalable, and production-ready AI systems that deliver measurable business outcomes.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

The ideal candidate should possess a blend of technical leadership, solution architecture, stakeholder management, and hands-on expertise in modern AI ecosystems.

Mandatory Skills

AI / ML

  • Machine Learning lifecycle management
  • Deep Learning concepts
  • Model evaluation frameworks
  • Experiment design and A/B testing
  • NLP and text analytics
  • Generative AI
  • Large Language Models (LLMs)
  • Prompt Engineering
  • RAG architectures
  • Vector databases
  • AI Agents and Multi-Agent Systems
  • Copilot and Conversational AI development

Cloud & GCP

  • Vertex AI
  • BigQuery
  • Cloud Storage
  • Dataflow
  • Cloud Functions
  • Cloud Run
  • GKE
  • Pub/Sub
  • IAM and Security Controls

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MLOps / LLMOps

  • CI/CD for ML
  • Model Registry
  • Version Control
  • Automated Evaluation
  • Model Deployment
  • Monitoring & Observability
  • Drift Detection
  • Rollback Frameworks

Required Experience

  • 14+ years of overall IT experience.
  • 5+ years in AI/ML solution architecture.
  • 3+ years in Generative AI and LLM-based solution delivery.
  • Proven experience delivering production-grade AI applications on cloud platforms.
  • Experience designing enterprise RAG and Agentic AI solutions.
  • Strong experience architecting secure and scalable AI platforms.
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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

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Skills

Generative AI
LLMs
Agentic AI
RAG Architectures
Vertex AI
MLOps
Google Cloud Platform
NLP
Vector Databases
Multi-Agent Systems
BigQuery
Model Evaluation
Prompt Engineering
CI/CD for ML
Cloud-native AI
Solution Architecture

Location

Bristol, England, United Kingdom

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