Atos
Agentic AI Engineer - DigiCrew
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Atos
Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.
With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.
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. Atos Group is listed on Euronext Paris.
Mission / Role Summary
Design, build, test and operationalise production-grade DigiCrew agents for enterprise infrastructure operations. The role develops autonomous and human-supervised agents on Azure AI Foundry that reason, plan, use tools and integrate with ITSM, monitoring and automation platforms.
Where purpose meets career
- Work at the forefront of AI, agentic technology and automation – practical roles applying emerging technology to real operational and customer challenges.
- Build skills and a career in a fast-growing area – supported by structured learning, specialist enablement and hands-on delivery experience.
- Help shape a new capability and make a visible impact – an opportunity to influence how these capabilities develop, create reusable solutions and help shape the future of service delivery within Atos.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
- Build multi-step and multi-agent workflows for incident, change, RCA, health, security and FinOps use cases
- Implement LLM orchestration, prompts, tool/function calling, structured outputs and RAG patterns
- Integrate agents with ServiceNow/ITSM, CMDB, monitoring, Azure services, Ansible/Terraform, Azure DevOps/GitHub and REST/MCP interfaces
- Develop reusable Python libraries and connectors for diagnostics, remediation, ticketing and evidence capture
- Implement safe execution controls, including RBAC, Key Vault, private networking, human-in-the-loop gates, audit trails and prompt-injection mitigations
- Test and evaluate agent behaviour, reliability, latency, cost and regression performance
- Deploy through CI/CD and support production stabilisation, hypercare and continuous improvement
- Produce technical documentation, runbooks and reusable delivery patterns
Required Skills
- Production-oriented Python development, including async patterns, type hints and structured data handling
- Strong understanding of LLM and agentic AI fundamentals tool calling, structured outputs, agent loops, memory and orchestration
- Hands-on experience with an agent framework or Azure AI Foundry / Azure OpenAI
- REST APIs, JSON, Git, CI/CD and automated testing
- Cloud development and secure enterprise integration fundamentals
- Ability to diagnose failures in long-running, tool-using agent workflows
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Nice-to-Have Skills
- ServiceNow/ITSM, CMDB and infrastructure operations knowledge
- Ansible, Terraform, PowerShell or Bash automation experience
- RAG, vector search, evaluation harnesses or fine-tuning exposure
- Agent observability using Application Insights, Azure Monitor, OpenTelemetry or equivalent
- AI security, responsible AI, data residency and enterprise identity/secrets management
- Experience with multi-agent communication or MCP-based integrations
Experience Profile
- 0–3 years in AI, software or automation engineering at Entry level
- Evidence of production-quality engineering through employment, an apprenticeship, internship or substantial delivery projects in Education
- Exposure to cloud-native development and enterprise systems integration is preferred
Candidate Persona
A practical, curious builder who enjoys turning operational problems into reliable working agents. Comfortable debugging ambiguity, learning new frameworks quickly and applying strong engineering discipline to security, testing, observability and production support.
Essential Criteria – SC Eligibility
To be eligible for SC clearance, you must have lived and worked in the UK continuously for the past 5 years.
Benefits
- Pension Scheme - contributions matched up to 10%
- Private medical cover
- Income Protection
- Life Assurance
- 25 days paid leave + National Holidays
- Flex benefits program
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills