Identity For AI Service Architect

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 52,000 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. 54,000 employees and annual revenue of c. 7.2 billion, 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.

Must have skills

• Identity and access management architecture at design depth (authentication, authorisation, federation, lifecycle, governance), applied to AI systems and agents
• Architected and productised identity services (reference architecture, platform evaluation and selection, service definition), not implementation only
• AI agent identity lifecycle: registration with a human sponsor, declared scope, short-lived credential issuance, revocation; hands-on with at least one of Microsoft Entra Agent ID, Okta cross-app access, SailPoint Agent Identity Security, Cisco/Astrix
• AI access governance: bringing models, agents and datasets under the same entitlement model and access certification as applications, through SailPoint ISC or Saviynt at registry and API level, and SCIM 2.0
• Delegated authorisation at protocol depth: how a users authority becomes an agents authority via OAuth 2.1, token exchange (RFC 8693) and on-behalf-of flows, sender-constrained tokens (DPoP, mTLS), OIDC claims and audiences
• Built or integrated an authorisation system in production (policy engine, authorisation service or token-level IdP integration)
• Policy as code for agent scopes and tool permissions: OPA/Rego or Cedar
• Model Context Protocol and agent frameworks: where identity is asserted in a tool call, tool allow-listing, per-task isolation
• Prompt-time entitlement enforcement: RAG architecture with retrieval scoped to the askers identity entitlements (permission filtering at retrieval, index scoping per asker)
• AI gateway / prompt control layer deployment (Microsoft Purview, Zenity, Lasso or open-source) integrated with the identity provider for the askers token and the entitlement model for their rights
• Microsoft Entra ID or Okta at token issuance, conditional access and session level, where an agents delegated authority originates and is revoked
• Non-human identity governance and SPIFFE/SPIRE workload identity as the source of agent credentials

Good to have

• Microsoft, Google, AWS and Anthropic agent and model platforms; sovereign model hosting (Mistral, Aleph Alpha)
• Telemetry modelling in an open schema (OCSF)
• EU AI Act human-oversight obligations; GDPR and works-council constraints on prompt inspection
• Awareness of AI security and MITRE ATLAS (prompt injection, model safety), which is adjacent to this role rather than part of it

Candidates will rarely tick every must-have, and that is expected. The ones that should not be waived are:

• the service-architecture experience on all three
• SOC fluency for ITE
• key ceremony and PKI design depth for Machine Identity, and
• the protocol-level authorisation experience and IAM architecture depth for Identity for AI

Work Location: Bangalore Mumbai

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