Senior Cloud Architect, Delivery (GenAI)

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Architect, Delivery (GenAI) based in the United Kingdom.

This is a high-impact customer-facing cloud architecture role focused on designing and delivering production-grade AI and machine learning solutions at scale. You will work closely with enterprise customers to translate complex business and technical challenges into secure, reliable and cost-efficient cloud architectures. The role blends hands-on engineering with strategic advisory responsibilities across AI/ML, GenAI and cloud optimization initiatives. You will act as a trusted technical expert across customer engagements, helping organizations modernize workloads and adopt advanced AI capabilities. Operating in a global, remote-first environment, you will collaborate with cross-functional teams across engineering, product and customer success. The role also emphasizes turning real-world delivery work into reusable architectural patterns and scalable best practices. It is ideal for someone who thrives at the intersection of deep technical execution and customer impact.

Own the design, delivery and optimization of advanced cloud and GenAI solutions across enterprise customer environments, ensuring scalability, reliability and business value.

• Lead end-to-end architecture and implementation of AI/ML and GenAI workloads on cloud platforms such as Amazon Web Services, with awareness of multi-cloud environments including Google Cloud and Microsoft Azure.
• Design production-grade solutions using services such as Amazon Bedrock and Amazon SageMaker, including deployment, scaling and monitoring of ML systems.
• Translate business and operational challenges into robust cloud architectures focused on cost efficiency, security, performance and resilience.
• Deliver structured technical engagements such as architecture reviews, optimization workshops, and well-architected assessments.
• Act as a senior technical advisor for customers, supporting incident resolution, deep-dive investigations and expert engineering inquiries.
• Collaborate with account teams and customer stakeholders to drive adoption, improve cloud maturity and reduce operational complexity.
• Develop reusable frameworks, automation assets and “golden path” patterns to scale successful solutions across customers.
• Contribute insights back into product and engineering teams to improve platform capabilities and customer experience.

Requirements

Experienced cloud architect with strong hands-on expertise in AI/ML systems, distributed architectures and customer-facing technical delivery.

• 4+ years of experience designing and operating cloud-based AI/ML solutions in production environments.
• Strong expertise in AWS architecture, including compute, networking, security and data services for large-scale systems.
• Proven experience building and deploying GenAI and ML workloads using tools such as Amazon Bedrock and Amazon SageMaker, including MLOps pipelines and model monitoring.
• Strong understanding of AI system design patterns including RAG, agentic systems, model evaluation, and inference optimization.
• Experience with data engineering and pipeline design using modern cloud data services and distributed processing frameworks.
• Solid DevOps and MLOps knowledge, including CI/CD pipelines, infrastructure-as-code, observability and automated deployment strategies.
• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
• Strong consulting mindset with the ability to lead customer engagements and drive outcomes in ambiguous environments.
• Bonus: exposure to multi-cloud AI platforms, AI governance, or experience in consulting or customer-facing architecture roles.

Benefits

• Fully remote-first working model with global team collaboration
• Competitive compensation aligned with experience and market benchmarks
• Equity or stock option participation
• Unlimited vacation policy and flexible working arrangements
• Health insurance coverage
• Home office allowance and setup support
• Professional development budget and certification support
• Opportunity to work on cutting-edge AI/GenAI projects at global scale
• Strong engineering culture focused on learning, autonomy and impact