AI Engineer

Deloitte

. Design, develop, and maintain AI-driven platform capabilities .

Posted 10/12/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing AI-driven platforms, including building scalable backend services, REST APIs, and reusable components. Proficient in modern AI technologies and cloud-native development, with a strong focus on security and integration with enterprise systems.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingGo ProgrammingCloud-Native DevelopmentAI Workflow Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsREST API DevelopmentModular System DesignAsynchronous SystemsDebugging SkillsReusable Libraries DevelopmentAI TechnologiesCloud Services IntegrationCybersecurity ConceptsTechnical Problem Solving

Soft Skills

Clear CommunicationIndependent WorkCollaboration

Tools & Technologies

AzureAWSSplunkMicrosoft SentinelCrowdStrikeMicrosoft DefenderServiceNowSOAR PlatformsMITRE ATT&CKDetection Engineering

Industry Keywords

AI-Driven PlatformsEnterprise SecurityOperational PlatformsWorkflow AutomationTechnical Direction

Tech Stack

Tools & technologies

AWSAzureCloudCyber SecurityPythonServiceNowSplunkTypeScriptGo

About the role

Key responsibilities & impact

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, design discussions, and technical direction
Evaluate emerging AI technologies for platform incorporation
Work with security analysts to understand operational challenges and translate them into technical solutions
Produce maintainable, well-tested, and well-documented code
Participate in technical reviews and architectural discussions
Help evolve the platform through robust reusable capabilities, enterprise integrations, AI-enabled workflows, engineering standards, and best practices

Requirements

What you’ll need

Strong software engineering fundamentals
Experience designing modular, maintainable systems
Experience building REST APIs and backend services
Experience developing reusable libraries or frameworks
Experience working with asynchronous and event-driven systems
Strong debugging and problem-solving skills
Strong experience in one or more of Python, TypeScript, or Go
Experience learning new languages, frameworks, and technologies quickly
Experience with modern AI technologies, including LLMs, AI agents, RAG, prompt engineering, structured outputs, AI workflow orchestration, model evaluation, and AI governance and safety
Experience with cloud-native development using Azure or AWS, including storage, authentication and identity, queues or messaging, serverless or container-based workloads, monitoring and observability, and secure application development
Experience integrating third-party platforms using REST APIs, SDKs, or webhooks
Good understanding of cybersecurity concepts, including SIEM, SOAR, IAM, threat detection, incident response, authentication, and authorization
Experience with offensive security techniques, adversary emulation, or penetration testing is beneficial but not required
Experience with enterprise security and operational platforms is highly desirable
Experience with Splunk, Microsoft Sentinel, CrowdStrike, Microsoft Defender, ServiceNow, SOAR platforms, MITRE ATT&CK, detection engineering, or SOC operations is beneficial
Experience building AI platforms, workflow engines, SDKs, internal developer platforms, vector or semantic search, structured data pipelines, scalable cloud architectures, or technical strategy is beneficial or nice to have
Ability to work independently while collaborating effectively
Ability to take ownership of technical problems from concept through implementation
Clear communication of technical concepts to technical and non-technical stakeholders

Benefits

Comp & perks

12-month engagement
Payroll provider: Rockford Payroll
Inside IR35 contingent-worker arrangement