AI Engineer

Deloitte - Recruitment; Greater London; Hybrid; GBP 129,000 - 166,000; Full time

Job summary

Deloitte is seeking a Senior AI Platform Engineer to design, develop, and expand an internal AI platform that supports cybersecurity analysts with intelligent workflows and automation. The role spans software engineering, cloud services, AI, and cybersecurity within a modern platform.

The successful candidate will work across Python, TypeScript, Go, and AI technologies, collaborating with security teams to translate challenges into technical solutions, while delivering maintainable and

Qualifications

• Strong software engineering fundamentals.
• Experience building REST APIs and backend services.
• Experience developing reusable libraries or frameworks.
• Experience with asynchronous and event-driven systems.
• Strong debugging and problem-solving skills.

Responsibilities

• Design, develop, and maintain AI-driven platform capabilities.
• Build scalable backend services and APIs.
• Develop workflow orchestration and automation capabilities.
• Design integrations with enterprise security and operational platforms.
• Build connectors to third-party products and cloud services.
• Develop reusable components and SDKs for multiple applications.
• Contribute to platform architecture and technical direction.
• Evaluate emerging AI technologies for platform evolution.
• Work with security analysts to translate challenges into technical solutions.
• Produce maintainable, well-tested, and well-documented code.
• Participate in technical reviews and architectural discussions.

Skills

Python

REST APIs

Cloud

AI/ML

Security

Tools

Azure/AWS

Splunk

SOAR

Job description

Canary Wharf, United Kingdom | Posted on 12/10/2026

Location: London - Hybrid – 2-3 days onsite

Start Date: ASAP

End Date: 12 months

Daily Rate: Inside IR35

This is an exciting opportunity to join Deloitte Operations for an engagement with one of our clients.

Overview

We are looking for a Senior AI Platform Engineer to helpdesign, develop, and expand our internal AI platform, supporting cybersecurityanalysts through intelligent workflows, automation, integrations, andAI-assisted capabilities.

The role involves building scalable AI-driven services,integrating with enterprise security technologies, and contributing to theevolution of a modern platform that combines software engineering, cloudservices, artificial intelligence, and cybersecurity.

The ideal candidate enjoys solving complex technicalproblems, can work across multiple technologies, and is comfortable learningnew tools and frameworks as the platform evolves.

Responsibilities

• Design,develop, and maintain AI-driven platform capabilities.
  
• Buildscalable backend services and APIs.
  
• Developworkflow orchestration and automation capabilities.
  
• Designintegrations with enterprise security and operational platforms.
  
• Buildconnectors to third-party products and cloud services.
  
• Developreusable components and SDKs that can be shared across multiple applications.
  
• Contributeto platform architecture, design discussions, and technical direction.
  
• Evaluateemerging AI technologies and determine how they can be incorporated into theplatform.
  
• Workclosely with security analysts to understand operational challenges andtranslate them into technical solutions.
  
• Producemaintainable, well-tested, and well-documented code.
  
• Participatein technical reviews and architectural discussions.
  

Required Skills

Software Engineering

• Strongsoftware engineering fundamentals.
  
• Experiencebuilding REST APIs and backend services.
  
• Experiencedeveloping reusable libraries or frameworks.
  
• Experienceworking with asynchronous and event-driven systems.
  
• Strongdebugging and problem-solving skills.
  

Development

Strong experience in one or more modern software developmenttechnologies, such as:

• Python
  
• TypeScript
  
• Go
  
• Experience learning new languages, frameworks, andtechnologies quickly is considered equally valuable.
  

Experience working with modern AI technologies, includingsome of the following:

• AIagents
  
• RetrievalAugmented Generation (RAG)
  
• Promptengineering
  
• AIworkflow orchestration
  
• Modelevaluation
  
• AIgovernance and safety
  
• Experience with multiple AI providers is desirable.
  

Experience with cloud-native development, such as Azure orAWS, including:

• Storageservices
  
• Authenticationand identity
  
• Serverlessor container-based workloads
  
• Monitoringand observability
  

API & Integration Development

• Experience integrating with third-party platforms using RESTAPIs, SDKs, or webhooks.
  
• Experience building integrations with enterprise systems ishighly desirable.
  

Security

Good understanding of cybersecurity concepts, such as:

• SIEM
  
• SOAR
  
• Identityand Access Management
  
• ThreatDetection
  
• Authenticationand Authorization
  
• Experience with offensive security techniques, adversaryemulation, or penetration testing is beneficial but not required.
  

Experience with one or more of the following is beneficial:

• Splunk
  
• MicrosoftSentinel
  
• CrowdStrike
  
• ServiceNow
  
• SOARplatforms
  
• MITREATT&CK
  
• DetectionEngineering
  
• SecurityOperations (SOC)
  

Nice to Have

• Experiencebuilding AI platforms rather than standalone AI applications.
  
• Experiencedesigning workflow engines or orchestration systems.
  
• Experiencedeveloping SDKs or internal developer platforms.
  
• Experiencewith vector search or semantic search.
  
• Experienceworking with structured data pipelines.
  
• Experiencedesigning scalable cloud architectures.
  
• Experiencecontributing to technical strategy and architecture.
  

Personal Attributes

We're lookingfor someone who:

• Isnaturally curious and enjoys learning new technologies.
  
• Canwork independently while collaborating effectively with others.
  
• Takesownership of technical problems from concept through implementation.
  
• Thinksbeyond individual features and considers long-term platform design.
  
• Ispragmatic and balances innovation with maintainability.
  
• Communicatestechnical concepts clearly to both technical and non-technical stakeholders.
  

What Success Looks Like

Thesuccessful candidate will help evolve the platform by:

• Building high-quality integrationswith enterprise technologies.
  
• Delivering AI-enabled workflows thatsolve real operational problems.
  
• Contributing to the long-termarchitecture and technical direction of the platform.
  
• Helping establish engineeringstandards and best practices as the platform grows.