The Cognition Platform Architect is a dual role of being  technical authority and Platforam Admin for the Devin AI platform across Mercedes-Benz. This role designs the enterprise-wide architecture for Cognition adoption — including environment blueprints, integration patterns, playbook standards, and technical governance — ensuring the platform scales reliably and securely across 1500+ engineers globally and is responsible for the day-to-day administration, configuration, and operational management of Devin platforms across Mercedes-Benz.

Key Responsibilities

• Enterprise Blueprint Design — Design and maintain the three-tier blueprint hierarchy (Enterprise → Organization → Repository) that standardizes how Devin operates across all Mercedes-Benz repos
• Integration Architecture — Architect integrations between Devin and enterprise systems including Git providers (GitHub Enterprise), SSO/SAML, MCP servers, CI/CD pipelines, secret managers (Azure Key Vault, AWS Secrets Manager), and observability tools
• Technical Standards & Patterns — Define and enforce coding standards, environment configurations, and security patterns that Devin sessions must follow
• Playbook & Skill Authoring Guidance — Establish best practices for playbook design, skill development, and knowledge note curation; review and approve enterprise-level playbooks before publication
• Blueprint Tier Strategy — Define which configurations belong at enterprise, org, and repo levels; manage configuration inheritance and override policies
• Environment Configuration — Design initialize/maintenance scripts, snapshot strategies, and environment variable management patterns for consistent, fast session startup
• Proof of Concept & Evaluation — Evaluate new Devin features (MCP integrations, Devin Review, Auto-Fix, API batch orchestration) and architect their enterprise rollout
• Vendor Technical Interface — Serve as primary technical contact with Cognition AI engineering for architecture discussions, feature requests, and integration support
• User & Organization Management — Onboard/offboard users, manage organization structures, configure team memberships, and maintain accurate user directories across all Devin organizations
• Repository Configuration — Set up and maintain repo-level configurations including environment configs (initialize/maintenance scripts), Git provider connections, and branch protection alignment
• Permissions & RBAC — Manage role-based access controls, enforce least-privilege principles, and ensure proper separation between org-admin, member, and guest roles
• Secrets Management — Administer the three-tier secrets hierarchy (organization → user → repository-scoped secrets); coordinate secret rotation schedules; ensure no secrets are hardcoded in environment configs
• ACU Budget Allocation — Monitor and allocate Autonomous Compute Unit (ACU) budgets across organizations and teams; set usage limits, track consumption patterns, and flag anomalies
• Git Provider & SSO Configuration — Maintain Git provider integrations (GitHub Enterprise), SSO/SAML configurations, and authentication flows
• Environment & Snapshot Management — Manage environment configurations, trigger and monitor snapshot builds, pin stable snapshots, and troubleshoot build failures in coordination with SRE
• Support Ticket Resolution — Serve as L2 support for user-facing configuration, access, and setup issues escalated from self-service channels
• Compliance Enforcement — Implement security policies as platform configurations (knowledge notes, Devin Review rules, pre-commit hooks) in coordination with Security + Compliance

·       5+ years of software engineering experience with at least 3 years in a platform/infrastructure architect role

·       Strong experience with enterprise Git workflows (GitHub Enterprise, GitLab), CI/CD pipelines, and DevOps toolchains

·       Deep understanding of API design, integration patterns (REST, webhooks, event-driven), and MCP/tool-use architectures

·       Experience with infrastructure-as-code (Terraform, Ansible) and cloud platforms (AWS, Azure, or GCP)

·       Solid understanding of enterprise security frameworks (SSO/SAML, RBAC, secrets management, network policies)

·       Experience designing multi-tenant platform architectures with configuration inheritance

·       Familiarity with AI/ML developer tools and LLM-based code generation platforms

·       Comfort with scripting (Bash, Python) for automation of administrative tasks

·       Hands-on experience with SSO/SAML/OIDC configuration and identity management

·       Experience with secrets management tools (Azure Key Vault, AWS Secrets Manager, HashiCorp Vault)

·       Understanding of RBAC models and least-privilege access principles