Wipro
Senior Architect AI

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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.
Start with a chat, not a search bar
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
“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.”
Jessica, London
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