Principal AI Consultant, Google Cloud

DataArt
Charing Cross, United Kingdom
4 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Machine Learning
Systems Development Life Cycle
Cloud Services
Google Cloud Platform
Snowflake
Data Strategy
AI Platforms
Information Technology
Data Management
Cloud Migration
Databricks

Job description

Position overview: We are seeking a Principal AI Consultant to lead AI strategy and innovation initiatives within DataArt's Google Cloud Partnership. This role combines strategic consulting, hands-on AI leadership, and partnership development across AI/ML, analytics, and cloud transformation domains. As a senior member of the partnership business unit, you will collaborate with executive stakeholders, guide the development of AI capabilities, and drive the adoption of Google Cloud technologies across clients' AI and digital transformation programs. You will also support go-to-market strategies and contribute to shaping DataArt's AI and GCP offerings.

  • 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 modernisation.
  • 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 modernising delivery practices.

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.

  • 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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