Principal AI Architect, Google Cloud

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Position overview

We are seeking a Principal AI Architect 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 architect and trusted technical advisor to clients, understanding their business challenges and identifying opportunities for AI-driven innovation.
• Lead pre‑sales and client technical engagements as a GCP expert, shaping transformation roadmaps, reference architectures, scope estimations, and value propositions.
• Run workshops and working sessions with client teams, engineering leads, and business stakeholders.
• 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, MLOps, and architectures suitable for complex enterprise environments.
• Contribute to DataArt’s go‑to‑market and solution development for Google Cloud, with focus areas including Generative AI, Vertex AI, analytics, data platforms, and application modernization.
• Collaborate with industry and enterprise account teams to promote GCP capabilities, support deal structuring, 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.

Requirements

• Proven track record leading technical pre‑sales, opportunity qualification, solution pitching, RFP/RFI responses, and effort estimation for enterprise clients.
• 7+ years of experience in AI solution architecture, cloud transformation, or technical leadership, ideally with team leadership responsibilities.
• Proven expertise in AI/ML technologies and architectural best practices within enterprise environments.
• Experience developing, designing, and delivering AI and data strategies on Google Cloud Platform (GCP), leveraging Gemini Enterprise Agent Platform (formerly Vertex AI), BigQuery, Spanner, Knowledge Graphs, Semantic layers, Dataflow,Apache Beam, orDatabricks.
• Demonstrated ability to translate ideas into working prototypes through rapid, hands‑on execution using vibe coding, AI Studio, Antigravity, and related tools such as ADK.
• Experience delivering enterprise programs around Gemini Enterprise adoption and LLM integration.
• Strong track record of driving AI initiatives from early pre‑sales ideation through to production implementation.
• Experience working directly with C‑level executives and translating business needs into AI‑driven architectures and solutions.
• Hands‑on collaboration experience with data scientists, ML engineers, and software development teams.
• Solid understanding of ethical AI, data privacy, and compliance frameworks.
• Excellent communication, pre‑sales presentation, 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 (e.g., GCP Professional Cloud Architect or Professional Machine Learning Engineer) 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 enterprise 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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Vacation

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Pleasant environment

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Comfort service

Solving technical and everyday problems at work

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FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top‑tier courses and learning platforms. View current openings and take the next step with us.

What does DataArt do, and which industries does it serve?

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries - including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

What's the work‑life balance like at DataArt? Does DataArt offer remote work options?

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote - each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

What is the typical career path at DataArt?

There's no one‑size‑fits‑all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

What can I expect in terms of compensation and benefits at DataArt?

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well‑being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return‑to‑work options.

How does DataArt approach employee retention and turnover?

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

What is the interview process like, and how can I prepare?

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here .

What skills and experience does DataArt look for in candidates?

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people‑first environment.

How does DataArt support learning and professional development?

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.