Principal AI Platform Engineer
Résumé du poste par JobGrid
Principal AI Platform Engineer at UBDS Group: Manchester, Royaume-Uni; Hybride; IT; Data Science et ML. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Manchester, Royaume-Uni, Hybride
- Role classification: IT, Data Science et ML
- Source freshness: checked by JobGrid on 2026-05-29.
- Application path: candidates continue to the employer application page with non-personal referral tags.
Principal AI Platform Engineer
UBDS Group delivers modern cloud, data and AI solutions across public and private sector organisations. We design and build scalable, secure and production-ready platforms that solve real-world problems and deliver measurable outcomes.
We’re looking for a Principal AI Platform Engineer who combines deep AI architecture expertise with strong engineering capability and technical leadership. This is a senior hands-on role for someone who can shape AI platforms and production AI solutions, guide delivery teams and help expand AI engineering as a core capability within UBDS.
The Role
As a Principal AI Platform Engineer at UBDS, you will lead the design and implementation of AI architectures across complex transformation programmes.
What You’ll Do
- Lead the design and implementation of AI architectures
- Help clients move AI solutions from experimentation into secure production delivery for large-scale user bases
- Define platform standards covering governance, observability, security, orchestration and operational support
- Support technical discovery, bids and client architecture discussions
- Work closely with delivery, account and capability teams to shape AI opportunities
- Mentor and upskill engineers moving into AI engineering delivery
- Build reusable engineering patterns, accelerators and reference architectures
- Support internal AI enablement and automation initiatives across UBDS
What We’re Looking For
Essential Experience
- Strong hands-on engineering background with experience delivering secure AI platforms, AI-enabled applications or machine learning solutions into production environments
- Deep understanding of modern AI architecture patterns and real-world operational delivery, including MLOps/Evals
- Strong Python engineering capability and experience working across cloud-native engineering environments
- Experience integrating AI capabilities into wider enterprise, cloud and data ecosystems
- Experience acting as a senior technical lead, principal engineer or design authority
- Comfortable working directly with senior client stakeholders
- Strong mentoring and coaching capability
- Experience with some of the following technologies or ecosystems:
· Amazon Bedrock and SageMaker
· Claude / Anthropic
· Azure AI Foundry or Azure OpenAI
· Databricks
· Vector databases and RAG architectures
· Agentic AI orchestration frameworks and MCP servers
· Model and data lifecycle management
Desirable Experience
- Experience working within public sector or regulated environments
- Experience with secure government delivery environments
- Experience contributing to bids, pre-sales or technical strategy
- Knowledge of responsible AI and AI governance frameworks
- Experience scaling engineering capability or building new technical practices
We do not expect candidates to have deep expertise across every technology listed above. We are looking for individuals with strong real-world production AI delivery experience, architectural depth and the ability to adapt across evolving AI ecosystems.