Director of AI Engineering

About CloudWerx
At CloudWerx, we’re building what’s next in cloud, data, and AI, helping organizations turn powerful technology into meaningful, real-world impact. What makes CloudWerx special isn’t just the technology. It’s the people behind it. We’re a global team of builders, problem-solvers, and trusted advisors who are curious by nature, ambitious about what we can create, and not afraid to challenge the way things have always been done.

Here, great ideas can come from anywhere. You’ll have the trust to take ownership, the freedom to bring your perspective to the table, and the opportunity to make a visible impact as we grow. We’re building something exciting, and we’re looking for talented people who want to build it with us. If you’re curious, collaborative, and energized by solving meaningful problems, we’d love to meet you.

About the Role
We're looking for a Director of AI Engineering to lead and scale our AI engineering practice, helping clients turn emerging AI technologies into secure, scalable, real-world solutions.In this role, you'll combine technical expertise, strategic leadership, and commercial thinking to shape our AI capabilities, lead high-impact client engagements, and build strong engineering teams.

You'll work closely with our CTO, Sales and Delivery leaders, cloud partners, and clients to develop innovative solutions, strengthen our delivery capabilities, and help shape the future of AI engineering at CloudWerx.

What You'll Do

AI Strategy & Technical Leadership

• Lead the strategy and growth of our AI engineering practice, aligning technical capabilities with client needs and business priorities.
• Drive the adoption of AI-first engineering practices, including agentic AI, AI-assisted development, RAG, evaluation frameworks, and modern software delivery.
• Establish technical standards, reusable architectures, and best practices to ensure scalable, secure, and reliable solutions.

Client Engagement & Business Growth

• Partner with Sales and Delivery teams to identify opportunities, shape solutions, and support proposals, estimates, SOWs, and client presentations.
• Act as a trusted technical advisor to senior client stakeholders, translating complex AI capabilities into meaningful business outcomes.
• Contribute to practice growth, financial performance, and successful delivery of client engagements.

Engineering Delivery

• Provide technical oversight and architectural guidance across key AI engineering engagements.
• Work closely with delivery teams to ensure solutions meet quality, security, performance, and client expectations.
• Develop reusable frameworks, accelerators, and tools that improve delivery efficiency and consistency.

People Leadership & Team Development

• Build, mentor, and develop high-performing engineering teams.
• Partner with Delivery and People & Culture on workforce planning, hiring, and capability development.
• Foster a culture of collaboration, technical excellence, continuous learning, and innovation.
  
  

What You Bring

• 12+ years of experience in software engineering, including 5+ years in engineering leadership, ideally within a consulting or client-facing environment.
• Proven experience leading engineering teams and delivering complex, enterprise-scale technology solutions.
• Strong hands-on understanding of generative AI, agentic AI, LLM applications, RAG, and AI-assisted software development.
• Experience taking AI solutions from proof of concept to production, with a focus on scalability, security, reliability, and responsible AI.
• Strong cloud engineering expertise, preferably with Google Cloud, along with experience in modern software architecture, CI/CD, Kubernetes, and DevOps practices.
• Experience partnering with Sales and Delivery teams on solution design, technical proposals, client engagements, and commercial opportunities.
• Demonstrated ability to hire, mentor, and develop engineering talent across distributed teams.
• Strong communication and stakeholder management skills, with the ability to engage technical teams and senior business leaders.
  
  
  

What You Can Expect

• • Remote-first flexibility:
    Work with a collaborative, global team in an environment built around flexibility and trust.
  • Meaningful impact: Play a key role in shaping our AI engineering practice and influencing how we grow.
  • Ownership and autonomy:
    Have the freedom to bring new ideas, make decisions, and drive meaningful change.
  • Health & dental benefits: 100% employer-paid health and dental coverage for employees and their dependents under our base plan.
  • Paid time off: Enjoy paid time off to recharge and maintain a healthy work-life balance.
  • Remote work allowance:
    Receive support to create a comfortable and productive workspace.
    
    
    

Equal Opportunity & Accessibility
CloudWerx is committed to creating an inclusive workplace where people are treated with respect and have equitable opportunities to contribute, grow, and succeed. We welcome applicants from different backgrounds, experiences, and perspectives. If you require accommodation during any stage of our recruitment process, let us know and we'll work with you to provide appropriate support.