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AI & Agentic Tech Principal

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jobtailor
Full Time position
Listed on 2026-07-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Software Architect, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 150000 GBP Yearly GBP 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Overview

Define what “good” looks like across data, integration/APIs, security, infrastructure, models, orchestration, and the consumption layer. Maintain a prioritised Agentic AI capability backlog for the domain. Track new tools, models, frameworks, and patterns. Enable higher-quality decisions on Agentic AI and build stronger technical and architectural foundations for scaling Agentic AI. Promote confident and responsible Agentic AI adoption.

Responsibilities
  • Define what “good” looks like across data, integration/APIs, security, infrastructure, models, orchestration, and the consumption layer
  • A prioritised Agentic AI capability backlog for the domain
  • Track new tools, models, frameworks, and patterns
  • Higher-quality decisions on Agentic AI
  • Stronger technical and architectural foundations for scaling Agentic AI
  • Confident and responsible Agentic AI adoption
Qualifications
  • Deep, hands-on experience with AI and Agentic AI at scale
  • Strong, current expertise in AI and Agentic AI
  • Credibility with technical specialists and senior leaders
  • Motivated by technical responsibility rather than span of control
  • Strong judgement on agentic capability and limits
  • Proven ability to influence AI technology approaches
  • Skilled at focusing technical discussions on what matters most
  • Demonstrated ability to steer difficult decisions through insight and evidence
  • A pragmatic engineering mindset
Hard Skills
  • AI
  • Agentic AI
  • data integration
  • APIs
  • security
  • infrastructure
  • models
  • orchestration
  • technical architecture
  • scaling
Soft Skills
  • credibility
  • influence
  • judgement
  • technical responsibility
  • focus
  • insight
  • evidence-based decision making
  • pragmatic engineering mindset
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