Applied AI & Platform Engineer

teneolinkedin· Holdings Division
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📍 London

About this role

The Role

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.

Key Responsibilities

  • 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

Essential Skills & Experience

  • 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

 Preferred skills & Experience  

  • 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

What we can offer

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. 

Benefits

We offer a whole host of benefits and reward including:

  • Competitive salary (depends on experience)
  • 28 days holiday
  • Discretionary bonus
  • Annual salary review
  • Pension (company contribution: 5% of annual salary).
  • Extensive investment in personal development & learning
  • Enhanced maternity and paternity leave (depending on length of service) and shared parental leave
  • Private medical insurance
  • Group Income protection
  • Life assurance
  • Cycle to work schemes
  • Season ticket loans
  • Regular social, cultural and charitable activities

About Teneo

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.

Frequently Asked Questions

Is the salary disclosed for the Applied AI & Platform Engineer position at teneolinkedin?
The salary for this Applied AI & Platform Engineer role at teneolinkedin is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Applied AI & Platform Engineer position at teneolinkedin located?
This Applied AI & Platform Engineer role at teneolinkedin is based in London. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Applied AI & Platform Engineer at teneolinkedin belong to?
This Applied AI & Platform Engineer position is part of the Holdings Division department at teneolinkedin. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Applied AI & Platform Engineer position at teneolinkedin?
Click the "Apply Now" button on this page. You will be redirected to teneolinkedin's official application portal hosted on greenhouse where you can submit your application directly.
When was the Applied AI & Platform Engineer job at teneolinkedin posted?
This Applied AI & Platform Engineer position at teneolinkedin was posted on Jan 23, 2026. Apply as soon as possible — early applications are often reviewed first.
Applied AI & Platform Engineer
teneolinkedin
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