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Wipro's dynamic approach to people, process and technology has established us as a global leader in digital transformation and cloud-enabled services. We help enterprises modernise platforms, accelerate innovation and deliver measurable business outcomes through consulting, engineering and technology expertise.
We are looking for an experienced Senior Architect to lead the design, architecture, governance and delivery of enterprise-scale AI/ML and Generative AI solutions on Google Cloud Platform. You will define AI solution strategies, set technical direction and establish architecture standards for secure, scalable and production-ready systems.
The role combines technical leadership, solution architecture, stakeholder management and hands-on expertise across modern AI ecosystems. You will work across business and technology teams to translate strategic objectives into robust AI platforms and solutions that deliver measurable outcomes.
Key Responsibilities
- Lead the end-to-end architecture and delivery of enterprise AI/ML, Generative AI and Agentic AI solutions on Google Cloud Platform.
- Define AI solution strategies, reference architectures, technical roadmaps, design principles and architecture standards.
- Design secure, scalable and production-ready solutions using LLMs, NLP, Retrieval-Augmented Generation, vector databases and AI agents.
- Architect enterprise RAG and multi-agent systems, including integration patterns, orchestration, security controls and operational guardrails.
- Provide technical direction across the machine learning lifecycle, from experimentation and evaluation through deployment, monitoring and continuous improvement.
- Establish MLOps and LLMOps practices covering CI/CD, model registries, version control, automated evaluation, observability, drift detection and rollback.
- Design cloud-native solutions using Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions, Cloud Run, GKE and Pub/Sub.
- Ensure architectures meet enterprise requirements for IAM, security, resilience, scalability, performance and maintainability.
- Guide engineering and delivery teams, review technical designs, resolve complex architecture decisions and promote reusable patterns.
- Engage senior business and technology stakeholders, communicate solution options and trade-offs, and maintain alignment to 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.
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.
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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.
What We're Looking For
- Extensive overall IT experience, including extensive AI/ML solution architecture experience.
- Considerable experience delivering Generative AI and LLM-based solutions.
- Proven delivery of production-grade AI applications on cloud platforms.
- Strong experience designing enterprise RAG, Agentic AI and multi-agent solutions.
- Deep knowledge of machine learning lifecycle management, deep learning, model evaluation frameworks, experiment design and A/B testing.
- Hands-on expertise in NLP, text analytics, Large Language Models, prompt engineering and vector databases.
- Strong Google Cloud Platform experience, particularly Vertex AI and associated data, compute, integration and container services.
- Experience establishing MLOps and LLMOps pipelines, automated deployment, monitoring, observability and model governance.
- Broad architecture experience spanning enterprise and solution architecture, microservices, API-driven integration, distributed systems and event-driven architecture.
- Ability to combine strategic architecture leadership with practical technical depth and effective stakeholder management.


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Your Benefits
With Wipro you will receive a competitive salary, a generous benefits package and access to training and development opportunities that support your professional growth.
Equal Opportunities
Wipro is an Equal Employment Opportunity employer and makes all employment-related decisions without regard to race, sex, national origin, ancestry, disability, sexual orientation or any other status protected by applicable law.
Why Wait?
Apply now to build an outstanding career and be part of a collaborative team shaping the next generation of enterprise AI solutions. If your application is successful, we'll ask you to complete a Background Verification check (BGV).
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