At a Glance
- Tasks: Lead innovative R&D projects and develop cutting-edge AI solutions.
- Company: Join Atos, a global leader in digital transformation and cybersecurity.
- Benefits: Competitive salary, career growth, and access to early-release tech programs.
- Other info: Diverse and inclusive workplace with a commitment to sustainability.
- Why this job: Shape the future of technology while working with top industry experts.
- Qualifications: Strong background in ServiceNow and AI engineering required.
The predicted salary is between 72000 - 88000 £ per year.
hackajob is partnering directly with Atos to hire for this role.
About Atos Group
Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. 7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries.
The R&D Engineering Lead is a senior technical leader within the Global ServiceNow Portfolio organisation, reporting directly to the CTO / Portfolio Lead. This role is 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 ServiceNow business.
This is a highly hands-on, innovation-focused leadership role that combines platform engineering excellence with strategic thinking and cross-functional collaboration.
Strategic Impact
- Drive the technical innovation engine for the global ServiceNow 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 ServiceNow capabilities.
- Strengthen Atos' positioning with ServiceNow 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
- R&D Strategy & Innovation Leadership
- Define and execute the R&D strategy to support portfolio roadmap, innovation priorities, and future investments.
- Identify emerging technologies, ServiceNow 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, including 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:
- Solution accelerators
- Reference implementations
- Technical frameworks
- Integration templates
- Developer tools
- Test automation kits
- 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 ServiceNow modules, AI capabilities, platform extensions, and ecosystem technologies.
- Validate technical feasibility of new portfolio ideas before commercialization.
- Partner with Alliance teams and ServiceNow for joint innovation PoCs.
- Collaboration with Portfolio Directors
- Provide technical depth and engineering execution support for each portfolio area.
- Convert portfolio requirements into:
- Technical designs
- Component architectures
- Beta prototypes
- Engineering backlogs
- Ensure solution offerings are technically robust, scalable, and differentiated.
- Engineering Governance & Quality Standards
- Define engineering standards, coding best practices, versioning, CI/CD automation, and DevSecOps 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 ServiceNow architects, product managers, and engineering teams on innovation initiatives.
- Engage with ecosystem technology partners (AI platforms, automation tools, ISVs) 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:
- ServiceNow developers
- AI/ML engineers
- Integration engineers
- Automation specialists
- Foster a culture of experimentation, technical excellence, and continuous learning.
Required Experience & Capabilities
- Strong technical background in ServiceNow development, architecture, or platform engineering.
- Hands-on expertise with:
- ServiceNow 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 ServiceNow 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 problem-solving ability with an innovation-first mindset.
- Excellent communication and the ability to present technical concepts to both engineering and business audiences.
What We Offer
- Opportunity to shape the next-generation engineering and innovation agenda for a global ServiceNow business.
- Strategic role working directly with the CTO and influencing future offerings, AI investments, and portfolio direction.
- Hands-on innovation environment with access to ServiceNow early-release programs, ecosystem partners, and R&D initiatives.
- High visibility across global leadership, portfolio teams, and key clients.
- Competitive compensation and strong career acceleration opportunities.
- Investment in your professional development and growth.
Here at Atos, diversity and inclusion are embedded in our DNA. Read more about our commitment to a fair work environment for all. Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. Find out more on our CSR commitment. Choose your future. Choose Atos.
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✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If All The Top Bananas uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
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