Solutions Architect

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 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.

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.
• 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.
• German language is preffered.