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.
The R&D Engineering Lead works collaboratively with Portfolio Directors and Value Engineering Directors to translate portfolio strategy and industry needs into high-value engineering outputs—prototypes, accelerators, integrations, tools, and technical proofs-of-concept that strengthen Atos’ competitive edge. 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-generation 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
- 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, and 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, including AI platforms, automation tools, and 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, and 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, 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 progression opportunities.
- Investment in your professional development and growth.
At Atos, diversity and inclusion are embedded in our DNA. Atos is also a recognized leader in its industry across Environment, Social and Governance criteria.