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 Onix'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.

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.
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.

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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