Overview
As R&D Engineering Lead, you will steer the technical innovation engine for Atos’ global ServiceNow business, building AI-powered accelerators, GenAI capabilities, and reusable assets. You will translate portfolio strategy into high-value prototypes, PoCs, and framework assets working with cross-functional leaders. This hands-on leadership role combines platform engineering excellence with strategic shape and cross-team collaboration. You will influence future offerings and AI investments while delivering differentiated, production-grade solutions.
Pay / Benefits
- Competitive compensation
- Career acceleration opportunities
- Investment in professional development
- Hands-on innovation environment
- Access to early-release ServiceNow programs
- Global leadership visibility
Responsibilities
- Define and execute the R&D strategy to support the portfolio roadmap and innovation priorities
- Lead engineering design and development of GenAI solutions and agentic AI components
- Architect and oversee reusable assets: accelerators, reference implementations, frameworks, integration templates, developer tools
- Lead PoCs for ServiceNow modules, AI capabilities, platform extensions, and ecosystem technologies
- Collaborate with Portfolio Directors to translate requirements into technical designs and backlogs
- Define engineering standards, CI/CD, DevSecOps practices and ensure quality, security, and performance across assets
- Collaborate with ServiceNow architects, product managers, and alliance partners on innovation initiatives
- Build and mentor a global engineering community across ServiceNow and AI/Automation roles
- Support Knowledge, AI Summit, and external events by showcasing R&D innovations
Key requirements
- Strong background in ServiceNow development, architecture, or platform engineering
- Hands-on experience with ServiceNow App Engine, Integration Hub, Automation Engine
- GenAI capabilities including LLMs, vector search, embeddings, orchestration
- Experience leading R&D, PoCs, or solution engineering teams
- Deep understanding of ServiceNow domain architecture and best practices
- Ability to translate strategy into engineering roadmaps and deliverables
- Strong collaboration across portfolios, sales, delivery, alliances, and industry teams
- Excellent communication for both technical and business audiences
- Innovative, problem-solving mindset
- collaboration
- communication
- leadership
- ServiceNow App Engine
- ServiceNow Integration Hub
- ServiceNow Automation Engine
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