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R&D Engineering Team Lead

Job in Glasgow, Glasgow City Area, G1, Scotland, UK
Listing for: Atos SE
Full Time position
Listed on 2026-06-25
Job specializations:
  • Engineering
    AI Engineer (Applied/Software)
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 120000 GBP Yearly GBP 90000.00 120000.00 YEAR
Job Description & How to Apply Below

R&D Engineering Lead

Senior technical leader within the Global Service Now Portfolio organisation, reporting directly to the CTO / Portfolio Lead. Responsible for driving engineering-led innovation, building next-generation accelerators, architecting cutting‑edge GenAI and Agentic AI capabilities, and supporting the creation of differentiated IP for Atos’ global Service Now business.

Strategic Impact
  • Drive the technical innovation engine for the global Service Now business, aligned to portfolio strategy.
  • Build reusable frameworks, accelerators, AI‑powered components, and IP that enhance competitive differentiation.
  • Lead R&D initiatives exploring GenAI, Agentic AI, automation, integration patterns, and emerging Service Now capabilities.
  • Strengthen Atos’ positioning with Service Now through technical excellence, joint innovation, and prototype delivery.
  • Enable faster time‑to‑market for global offerings through engineering velocity and reusable asset development.
  • Translate future‑looking technology trends into actionable engineering solutions.
Key Responsibilities
  • Define and execute the R&D strategy to support portfolio roadmap, innovation priorities, and future investments.
  • Identify emerging technologies, Service Now releases, and ecosystem opportunities to shape next‑gen solutions.
  • Partner with the CTO on strategic bets and long‑term capability building.
AI Engineering & Next‑Generation Solutions
  • Lead engineering design and development of GenAI solutions, Agentic AI components (autonomous agents and workflow orchestration), AI‑infused accelerators, decisioning engines, and knowledge automation.
  • Collaborate with Portfolio Directors to embed AI capabilities into global offerings.
Accelerator, Framework, and Asset Development
  • Architect and oversee development of reusable assets such as reference implementations, technical frameworks, and integration templates.
  • Ensure all assets follow engineering best practices, are production‑grade, and integrate into delivery methodologies.
Technical Prototyping & Proof‑of‑Concepts (PoCs)
  • Lead technical PoCs for Service Now modules, AI capabilities, platform extensions, and ecosystem technologies.
  • Validate technical feasibility of new portfolio ideas before commercialization.
  • Partner with Alliance teams and Service Now for joint innovation PoCs.
Collaboration with Portfolio Directors
  • Provide technical depth and engineering execution support for each portfolio area.
  • Architect component solutions and beta prototypes.
  • Ensure solution offerings are technically robust, scalable, and differentiated.
Engineering Governance & Quality Standards
  • Define engineering standards, coding best practices, versioning, CI/CD automation, and Dev Sec Ops  expectations.
  • Ensure strong quality, security, and performance principles for all developed assets.
  • Maintain a structured lifecycle for R&D assets from prototype to offering‑ready solution.
Ecosystem, Alliance & Community Engagement
  • Collaborate with Service Now architects, product managers, and engineering teams on innovation initiatives.
  • Engage with ecosystem technology partners for solution co‑development.
  • Support Knowledge, AI Summit, and external events by showcasing R&D innovations and prototypes.
Technical Leadership & Talent Development
  • Build and mentor a global engineering community of Service Now developers and automation specialists.
  • Foster a culture of experimentation, technical excellence, and continuous learning.
Required Experience & Capabilities
  • Strong technical background in Service Now development, architecture, or platform engineering.
  • Hands‑on expertise with Service Now App Engine, Integration Hub, Automation Engine, GenAI capabilities (LLMs, vector search, embeddings, orchestration), AI agents, workflow automation, and cognitive services.
  • Demonstrated experience leading innovation, R&D, PoCs, or solution engineering teams.
  • Deep understanding of Service Now domain architecture, platform extensibility, and best practices.
  • Ability to translate high‑level strategic directions into engineering roadmaps and deliverables.
  • Strong collaboration skills, with experience working across portfolio, sales, delivery, alliances, and industry teams.
  • Exceptional…
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