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AI Engineer - Agentic and Automation

Job in Crawley, West Sussex, RH11, England, UK
Listing for: Civil Aviation Authority
Full Time, Contract position
Listed on 2025-12-24
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Data Analyst, Data Security
Salary/Wage Range or Industry Benchmark: 52937 - 62000 GBP Yearly GBP 52937.00 62000.00 YEAR
Job Description & How to Apply Below

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Salary: £52,937 up to £62,000 dependent upon experience

Contract Type: Permanent – Full Time

Security Level: SC

Visa Restrictions: This position does not offer visa sponsorship

Base Location
:
Gatwick or Cardiff

We are the UK’s aviation regulator, recognised worldwide for our expertise and commitment to the highest standards of safety and innovation. Our activities are diverse, ranging from safety oversight to enabling the aviation industry to adapt to new technologies and challenges.

As the aviation environment evolves, so too does the way we regulate. The Civil Aviation Authority (CAA) is now harnessing the potential of Agentic AI and Automation to transform regulatory services, streamline processes, and deliver greater value to the public and industry.

The Role

The CAA is seeking an AI Engineer to join our Software Engineering function. This role will focus on designing, implementing, and orchestrating AI based systems across our operations, ensuring they are effective, explainable, and aligned with our regulatory responsibilities.

You will help define how autonomous AI agents can support decision making, automate compliance processes, and enhance our regulatory services ensuring safety, accountability, and transparency remain at the forefront.

Key Responsibilities
  • Agent Design and Deployment
    :
    Configure and deploy autonomous AI agents capable of reasoning, planning, and multi-step task execution.
  • Automation & Workflow Orchestration
    :
    Use low code/no code platforms such as Microsoft Power Platform, Copilot Studio, and agentic AI frameworks to deliver business and regulatory automation solutions.
  • Integration Expertise
    :
    Familiarity with Microsoft 365, Power Platform, Azure AI services, and APIs for connecting agents to enterprise systems.
  • Responsible AI Delivery
    :
    Apply CAA’s responsible AI principles to ensure systems are safe, explainable, and compliant with ethical and legal standards.
  • Integration with CAA Systems
    :
    Connect agents to Microsoft 365, enterprise applications like SharePoint, Dynamics 365, and regulatory databases to streamline information flows and automate reporting.
  • Multi Agent Collaboration
    :
    Develop and test systems where groups of agents collaborate with each other and with human teams.
  • Innovation & Horizon Scanning
    :
    Monitor emerging trends in autonomous AI and automation, providing recommendations on their relevance to aviation regulation.
  • Supporting Innovation and Proofs of Concept
    :
    Support the design, testing and evaluation of AI driven automation proofs of concept, helping the CAA explore new technologies and assess their potential for wider adoption.
  • Ensure Resilience
    :
    Work as part of a team to ensure business resilience and fix on fail capability of our portfolio of AI products.
  • Knowledge Sharing
    :
    Act as a subject matter expert, supporting colleagues across the CAA to adopt and benefit from intelligent automation.
  • Championing AI
    :
    Act as a point of expertise within the CAA, promoting the adoption of Agentic AI and automation, sharing knowledge across teams, and advocating for responsible and effective use of emerging technologies.
About You

You will have a background in AI, intelligent automation, or digital transformation, and a track record of applying emerging technologies to real world problems. You will bring curiosity, adaptability, and strong collaboration skills, with the ability to translate complex AI concepts into practical business and regulatory applications.

  • Experience with agentic AI frameworks.
  • Knowledge of low code/no code automation platforms such as Microsoft Power Platform.
  • Familiarity with AI driven workflow orchestration.
  • Ability to work across technical and nontechnical teams, with strong communication and presentation skills.
  • Awareness of responsible AI frameworks, data ethics, and regulatory considerations.
  • Understanding of data…
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