Applied AI & Platform Engineer

As an Engineer in our newly established and rapidly growing AI team, you will build and operationalize high-value AI workflows across business use-cases, product integrations, and internal data intelligence (Data Lake). You will help extend our AI platform and shared services by delivering production-grade capabilities on our Azure infrastructure, integrating LLM functionality into reliable, secure, and observable systems, including scoped agent workflows that can be shipped, monitored, and iterated quickly.

Success in this position requires strong engineering fundamentals, an operational mindset, and the ability to work autonomously while partnering effectively with technical and non-technical stakeholders across global teams.

• →Build end-to-end workflow implementations from requirements to production: APIs, services, orchestration, and integrations
• →Integrate AI capabilities into products and internal tools (LLM calls, tool/function calling, guardrails, evals, response structuring)
• →Design and implement scoped agent workflows with clear boundaries, tools, permissions, fallbacks, and measurable outcomes
• →Collaborate with vendors to deliver ROI-focused use-cases: define interfaces, validate delivery quality, and productionize outputs
• →Establish strong observability: structured logging, tracing, metrics, dashboards, alerting, and runbooks
• →Partner with data teams on Data Lake access patterns, workflows, metadata, governance, and reliability

• 5-10 years professional software engineering experience; strong Python (services, APIs, testing)
• Cloud infrastructure experience (Azure preferred), operating production systems; cloud security fluency (identity, RBAC, secrets management, logging/auditing)
• CI/CD experience (Git-based pipelines, automated tests, deployment gates, rollback awareness)
• Strong testing, documentation, and operational discipline

• Data engineering fundamentals (schemas, pipelines, quality checks) within governed environments
• Infrastructure as Code (Bicep/Terraform), containerization (Docker), and API management patterns
• Agentic patterns (tool use, orchestration, state management) and practical guardrails
• Microsoft Graph and/or strong enterprise identity/API permissioning patterns

New joiners are supported by induction programmes, and continuous development is a key focus of life at Teneo - learning and knowledge sharing are at the heart of this. We have an environment and culture that is focused on supporting your development and career progression. We support this with a dedicated Learning Team who provide a range of learning opportunities and personal development support.  

Our face-to-face learning is supported by some 100 modules of e-learning available on our internal knowledge management system. 

Given our client base you’ll be working on career-defining (and often news-worthy) work that is exciting, rewarding and one where you can make a real impact to high profile projects. 

Teneo is the global CEO advisory firm. We partner with our clients globally to do great things for a better future.

Drawing upon our global team and expansive network of senior advisors, we provide advisory services across our five business segments on a stand-alone or fully integrated basis to help our clients solve complex business challenges. Our clients include a significant number of the Fortune 100 and FTSE 100, as well as other corporations, financial institutions, and organizations.

Our full range of advisory services includes strategic communications, investor relations, financial transactions and restructuring, management consulting, physical and cyber risk, organizational design, board and executive search, geopolitics and government affairs, corporate governance, ESG and DE&I.

The firm has more than 1,700 employees located in 40+ offices around the world.