Senior Enterprise Systems Engineer

Autodesk
Bengaluru, INDPosted 25 April 2026

Job Description

Job Requisition ID # 26WD96724 Position Overview Autodesk is seeking a Senior Enterprise Systems & Applications Engineer to join the Engineering Collaboration Services (ECS) team. This role is primarily focused on AI enablement and governance, designing and scaling responsible AI adoption across our engineering workforce. As a secondary focus, this role owns the Centercode beta testing platform as a senior enterprise engineer, ensuring it remains a reliable pillar of our product validation ecosystem. Responsibilities Design and implement enterprise AI governance frameworks covering license management, security, compliance, and usage optimization across Claude, Cursor, ROVO, and other emerging AI tools; define provisioning policies, automated enforcement workflows, and audit mechanisms Ensure compliance with SSO/OAuth policies, identity governance, and security audit requirements across Autodesk’s AI account landscape; own ongoing compliance monitoring and remediation Analyse per-user and per-feature AI consumption metrics to optimize cost, improve adoption, and surface usage trends; provide data-driven recommendations to leadership on governance and tool selection decisions Create developer enablement resources including guides, best practices, tutorials, FAQs, and use case libraries to help 5,000 engineers safely leverage AI tools; conduct training sessions, workshops, and office hours on AI tool usage and compliance Serve as a trusted advisor to the engineering community on AI tool adoption, troubleshooting, best practices, and productivity optimization while maintaining security and governance standards Monitor community feedback, Slack channels, and usage signals to identify adoption trends, surface pain points, and continuously evolve governance frameworks and enablement programs Design, maintain, and optimize the Centercode beta testing platform and its integrations (Jira Cloud, Confluence Cloud, SSO, webhooks, third-party connectors), ensuring platform reliability, and scalability Develop and execute webhook scripts and automation integrations; troubleshoot integration failures and design scalable solutions aligned to Autodesk’s product validation ecosystem Define and track platform success metrics (uptime, usage, feature adoption, user satisfaction, error rates); ensure compliance with GDPR, Privacy, Security, and integration audit requirements Create and maintain comprehensive platform documentation, troubleshooting guides, training materials, and Confluence resources for end users and support teams Minimum Qualifications 5 years as a systems analyst, platform engineer, or technical analyst supporting enterprise applications or platforms 2 years in AI governance, policy design, license management, IT compliance frameworks, or security audit programs Experience with Centercode, QA platforms, SDLC tooling, or PLM systems (e.g., Teamcenter) Strong understanding of SDLC, testing processes, and engineering tooling Demonstrated experience designing compliance frameworks (GDPR, Privacy, Security audits, Identity governance) Familiarity with OAuth protocols, SSO, and identity/access management systems Hands-on experience with webhook scripting, automation, or APIs Strong ability to translate complex technical and policy topics for technical and non-technical audiences Preferred Qualifications Bachelor’s degree in Engineering, or related field Hands-on experience designing and managing enterprise AI tool governance (Claude, Cursor, or similar platforms) Experience with cloud infrastructure and automation tools (AWS EventBridge, Lambda, Azure AD, Python, JavaScript) QA background with strong knowledge of test procedures, test management, and quality metrics Experience with data analysis, metrics tracking, and dashboard creation for system performance and usage monitoring Familiarity with Agile/Scrum methodologies and cross-functional collaboration Community management, developer enablement, or tech ... (truncated, view full listing at source)
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