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Senior AI Platform Engineer
UBDSSenior AI Platform Engineer designing secure, scalable production AI platforms for UBDS Group’s cloud, data, and AI transformation programmes. Guiding client delivery, architecture, and reusable engineering standards.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing secure AI architectures and production solutions, with a strong focus on MLOps, Python engineering, and cloud-native environments. Capable of providing technical guidance, collaborating with multidisciplinary teams, and adapting to evolving AI ecosystems.
Highest-signal resume keywords
AI Architecture DesignMLOps ImplementationPython EngineeringCloud-Native EngineeringTechnical Ownership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
AI Solutions DeliveryMachine Learning SolutionsEngineering Patterns DevelopmentOperational DeliveryAI Governance Knowledge
Soft Skills
Technical GuidanceCollaborationStakeholder CommunicationMentoring
Tools & Technologies
Amazon BedrockSageMakerAzure AI FoundryAzure OpenAIDatabricks
Industry Keywords
Public Sector ExperienceRegulated EnvironmentsResponsible AIAI Governance Frameworks
Tech Stack
Tools & technologiesAzureCloudPython
About the role
Key responsibilities & impact- Design and implement AI architectures and production AI solutions
- Help clients move AI solutions from experimentation into secure production delivery for large-scale user bases
- Contribute to platform standards covering governance, observability, security, orchestration, and operational support
- Participate in technical discovery and client architecture discussions
- Work with delivery, account, and capability teams to shape AI solutions and opportunities
- Provide technical guidance and support to engineers across AI engineering delivery
- Develop reusable engineering patterns, accelerators, and reference architectures
- Contribute to internal AI enablement and automation initiatives
- Collaborate with architects and technical leads to align solutions with cloud, data, security, and enterprise architecture requirements
Requirements
What you’ll need- Strong hands-on engineering background delivering secure AI platforms, AI-enabled applications, or machine learning solutions into production
- Strong understanding of modern AI architecture patterns and operational delivery, including MLOps and Evals
- Strong Python engineering capability
- Experience working across cloud-native engineering environments
- Experience integrating AI capabilities into enterprise, cloud, and data ecosystems
- Experience taking technical ownership of solutions or significant engineering workstreams
- Ability to work directly with client stakeholders and explain technical decisions clearly
- Ability to collaborate with architects, engineers, and multidisciplinary delivery teams
- Experience supporting or mentoring other engineers
- Experience with some of Amazon Bedrock, SageMaker, Claude/Anthropic, Azure AI Foundry, Azure OpenAI, Databricks, vector databases, RAG architectures, agentic AI orchestration frameworks, MCP servers, and model/data lifecycle management
- Desirable: experience in public sector or regulated environments
- Desirable: experience with secure government delivery environments
- Desirable: experience supporting bids, pre-sales, or technical discovery
- Desirable: knowledge of responsible AI and AI governance frameworks
- Desirable: experience contributing to engineering standards, reusable patterns, or technical communities of practice
- Ability to adapt across evolving AI ecosystems
Benefits
Comp & perks- Training and personal development options, including technical, business acumen, and methodologies
- Mentorship opportunities
- Opportunities to gain certifications
- Private medical cover for employee and spouse/partner via Vitality
- Discretionary bonus based on personal and company performance
- 25 days holiday plus 1 birthday day and 1 work anniversary day, in addition to UK bank holidays
- Electric Vehicle leasing with salary sacrifice
- Contributed Pension Scheme
- Death in service cover
- Opportunities to work on cutting-edge projects across diverse industries
- Collaborative environment encouraging creativity and innovation