Senior AI Engineer
UBDS Group
·Yesterday
- Location
- London, England, United Kingdom
- Workplace
- Hybrid
- Department
- UBDS Group Holdings
- Seniority
- Senior
- Source
- Workable
Description
Senior AI Engineer
At UBDS, we help organisations transform through cloud, cyber security, AI and digital innovation. As our AI capability continues to grow, we're looking for an experienced Senior AI Engineer to design, develop and deliver intelligent AI solutions across complex customer environments.
This is a hands-on engineering role focused on building AI-powered applications, autonomous agents, orchestration frameworks and intelligent workflows using modern AI technologies and cloud platforms.
You'll work closely with Cloud Architects, Software Engineers, Data specialists and delivery teams to develop secure, scalable and production-ready AI solutions that help customers automate processes, improve decision-making and unlock the value of emerging technologies.
What You'll Do
- Design, develop and deploy AI-powered applications, agents and intelligent workflows.
- Build agentic AI solutions capable of interacting with tools, systems and enterprise data.
- Develop orchestration frameworks and multi-agent workflows to automate complex business processes.
- Integrate Large Language Models (LLMs) and generative AI capabilities into applications and services.
- Build Retrieval-Augmented Generation (RAG) solutions connecting AI models with enterprise data sources.
- Develop APIs, integrations and supporting services for AI-powered applications.
- Design and implement prompt engineering, context management and model evaluation approaches.
- Develop and deploy AI solutions across cloud platforms, including Microsoft Azure and AWS.
- Implement automated testing, monitoring and evaluation processes for AI applications.
- Apply appropriate security, governance and responsible AI principles.
- Optimise AI solutions for performance, reliability, scalability and cost.
- Work with Product, Engineering and Architecture teams to translate business requirements into practical AI solutions.
- Contribute to technical design, engineering standards and AI development best practices.
- Provide technical guidance and mentoring to other engineers.
What We're Looking For
- Strong experience in AI Engineering, Software Engineering or developing AI-powered applications.
- Hands-on experience designing and building generative AI solutions, AI agents or intelligent automation.
- Strong development experience using Python and modern software engineering practices.
- Experience integrating LLMs and foundation models into applications using APIs and SDKs.
- Understanding of agentic AI concepts, tool calling, orchestration and workflow automation.
- Experience developing RAG solutions and integrating structured and unstructured data sources.
- Experience working with AI development frameworks and orchestration tooling.
- Good understanding of REST APIs, microservices and application integration.
- Experience developing and deploying applications within cloud environments such as Azure or AWS.
- Experience with CI/CD, automated testing, Git and modern DevOps practices.
- Understanding of AI security, governance, model evaluation and responsible AI principles.
- Experience working within Agile, multidisciplinary engineering teams.
- Strong problem-solving, communication and stakeholder engagement skills.
Desirable Experience
Experience across some of the following would be beneficial:
- Microsoft Foundry, Azure AI services or Azure OpenAI.
- AWS Bedrock, SageMaker or other cloud-based AI services.
- AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel or Microsoft Agent Framework.
- Experience with OpenAI, Anthropic Claude or other foundation models.
- Vector databases, semantic search and embedding technologies.
- Azure AI Search, Amazon OpenSearch or equivalent technologies.
- Multi-agent architectures and complex workflow orchestration.
- Model evaluation, observability, tracing and AI performance monitoring.
- Docker, Kubernetes and containerised application deployments.
- Infrastructure as Code using Terraform, Bicep or similar.
- AI guardrails, content filtering and secure AI application design.
- Experience integrating AI solutions with enterprise applications, Microsoft 365 or Power Platform.
- Experience delivering AI solutions within Government, Defence or other regulated environments.
- Relevant cloud, software engineering or AI certifications.
The Opportunity
This role would suit an experienced AI Engineer who enjoys turning emerging AI technologies into practical, production-ready solutions.
You'll work on innovative AI projects, developing intelligent agents, automation capabilities and AI-powered applications that address real business challenges.
Working alongside experienced Cloud, Data, Software Engineering and Architecture specialists, you'll help shape UBDS's AI engineering capability and contribute to the delivery of secure, scalable and responsible AI solutions for our customers.