Senior Cloud Architect, Field Engineering (GenAI Focus)
New
UKFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- AWSRESTful APIsGenerative AI
Requirements
- Proven experience in cloud architecture, field engineering, technical consulting, or solutions delivery within customer-facing environments.
- Strong hands-on expertise with AWS cloud services and real-world enterprise implementations.
- Practical experience building or supporting AI and GenAI solutions using technologies such as Amazon Bedrock, RAG architectures, vector databases, and AI orchestration frameworks.
- Familiarity with infrastructure-as-code tools such as AWS CDK or equivalent deployment frameworks.
- Strong understanding of modern cloud-native architectures, APIs, and scalable production systems.
- Experience leading technical workshops, implementation engagements, architecture reviews, or proof-of-value initiatives.
- Excellent communication and stakeholder management skills with the ability to bridge technical and business conversations.
- Ability to operate effectively in fast-moving, ambiguous environments with strong prioritization and execution capabilities.
- Collaborative mindset with experience working across sales, delivery, engineering, customer success, and partner ecosystems.
- Ownership mentality with strong problem-solving skills and proactive risk management.
Responsibilities
- Lead customer-facing GenAI and cloud implementation engagements from discovery through production delivery.
- Design and deploy AWS-native AI architectures, including retrieval-augmented generation (RAG), vector database integrations, and agentic AI workflows.
- Translate customer business goals into scalable technical solutions with measurable outcomes and implementation roadmaps.
- Conduct workshops, technical discovery sessions, proof-of-value engagements, and architecture reviews for enterprise customers.
- Support product adoption and customer expansion initiatives by integrating cloud and AI solutions into broader transformation strategies.
- Collaborate with sales, customer success, engineering, and partner teams to scope, execute, and optimize technical engagements.
- Create reusable technical assets, playbooks, templates, and delivery frameworks to improve operational scalability and consistency.
- Contribute to partner-led initiatives and cloud adoption programs in collaboration with AWS and related ecosystem stakeholders.
- Maintain visibility into project risks, dependencies, and engagement milestones while ensuring strong execution discipline.
- Champion AI-native ways of working and contribute to continuous improvement of field engineering operations and delivery practices.
View Full Description & ApplyYou'll be redirected to the employer's site
