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DataArt

Principal AI Consultant with Google Cloud Platform

London
Posted about 15 hours ago
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Responsibilities

  • Serve as the primary AI consultant and trusted advisor to clients, understanding their business challenges and identifying opportunities for AI-driven innovation.
  • Lead pre-sales and client consulting engagements as a GCP expert, shaping transformation roadmaps, reference architectures, and value propositions.
  • Run workshops and working sessions with client teams and business leaders.
  • Ensure customers' AI projects align with business objectives, maintain technical excellence, and comply with ethical AI and data privacy principles.
  • Lead change management efforts to support clients transitioning to AI-enabled and agent-driven operating models.
  • Provide expert guidance on AI technologies, frameworks, and architectures suitable for different business environments.
  • Contribute to DataArt’s go-to-market and solution development for Google Cloud, with focus areas including AI/ML, analytics, data platforms, and application modernization.
  • Collaborate with industry and enterprise account teams to promote GCP capabilities and accelerate cloud adoption.
  • Mentor and support AI delivery teams, contributing to internal training programs, certifications, and capability growth.
  • Guide the evolution toward AI-augmented software delivery, integrating AI agents into development workflows and modernizing delivery practices.

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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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.

Requirements

  • 7+ years of experience in AI consulting, solution architecture, or cloud transformation, ideally with leadership responsibilities.
  • Proven expertise in AI/ML technologies and best practices within enterprise environments.
  • Experience developing and delivering AI and data strategies on Google Cloud Platform (GCP).
  • Experience delivering programs around Gemini Enterprise adoption.
  • Strong track record of driving AI initiatives from ideation through implementation.
  • Experience working directly with C-level executives and translating business needs into AI-driven solutions.
  • Hands-on collaboration experience with data scientists and development teams.
  • Solid understanding of ethical AI, data privacy, and compliance frameworks.
  • Excellent communication, multi-stakeholder management, and leadership skills.
  • An advanced degree in Computer Science, AI, Data Science, or a related field is preferred.
  • Deep knowledge of Google Cloud technologies; GCP certification or readiness to achieve certification quickly.
  • Experience designing AI training and enablement programs that drive measurable adoption.
  • Familiarity with AI governance frameworks and responsible AI policies.
  • Understanding of emerging AI-native SDLC models and agentic delivery methodologies.

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Nice to have

  • Familiarity with other major cloud AI platforms (AWS, Azure) and cloud data platforms (Databricks and Snowflake).
  • Exposure to AI-augmented or agent-orchestrated software delivery and its impact on team structures.
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Skills

AI Consulting
Solution Architecture
Google Cloud Platform
AI/ML
Gemini Enterprise
Cloud Transformation
Data Strategy
Ethical AI
Data Privacy
Change Management
Pre-sales
Stakeholder Management
AI Governance
Agentic Delivery
Cloud Adoption
Reference Architecture

Location

London, England, United Kingdom

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