Autodesk

2 months ago

Principal Software Engineer, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Lead the architectural direction of Autodesk Forma Design's agentic AI layer, defining how Forma's domain agents are exposed to AI orchestrators via MCP tooling, public APIs, and SDKs. Drive cross-team adoption of consistent patterns, enable squads to ship MCPs, and shape authentication/trust models for secure, scalable AI-driven workflows that empower designers, planners, and developers.

Location: Oslo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define and evolve the technical architecture for Forma's agentic AI platform, including MCP tooling, public APIs, SDK capabilities, and integration patterns teams use to expose Forma's domain agents to AI orchestrators.
•Serve as Forma Design's technical lead into Autodesk's AI platform team — converging domain-agent patterns between Forma's squads and the platform.
•Enable every Forma Design squad to ship their own MCPs — set patterns, build exemplars, unblock teams — so exposing capabilities to AI agents becomes a universal motion across the org, not work owned by a single team.
•Drive the strategic direction for how Forma participates in the broader AI ecosystem, ensuring our platform is agent-agnostic, composable, and built for long-term extensibility.
•Navigate and resolve hard trade-offs in authentication, authorization, and trust models for AI-driven workflows, including OAuth patterns, token scoping, and secure agent interactions.

Key Requirements

•Strong hands-on engineering background in cloud-native, backend-heavy systems.
•Proven experience shaping architectural or platform-level decisions beyond a single team.
•Experience driving platform adoption across multiple teams — setting patterns and exemplars that others build from.
•Deep understanding of agentic AI systems, including MCP, tool-use patterns, LLM integration, and agent orchestration.
•Experience designing and evolving APIs and SDKs used by external developers or AI systems.

Experience:AICloudBackendPlatform engineering

Skills:CommunicationMentoringCollaborationLeadership

Languages:English

Tech Stack:TypeScriptAWSOAuthSDKAPIsMCPServerless

Company Brief

Autodesk

Provides design and engineering software for architecture, construction, manufacturing, media, and entertainment industries, offering CAD, BIM, and 3D modeling tools to enable product and infrastructure design workflows.

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor

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Autodesk

2 months ago

Principal Software Engineer, Agentic AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Oslo

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Define and evolve the technical architecture for Forma's agentic AI platform, including MCP tooling, public APIs, SDK capabilities, and integration patterns teams use to expose Forma's domain agents to AI orchestrators.
•Serve as Forma Design's technical lead into Autodesk's AI platform team — converging domain-agent patterns between Forma's squads and the platform.
•Enable every Forma Design squad to ship their own MCPs — set patterns, build exemplars, unblock teams — so exposing capabilities to AI agents becomes a universal motion across the org, not work owned by a single team.
•Drive the strategic direction for how Forma participates in the broader AI ecosystem, ensuring our platform is agent-agnostic, composable, and built for long-term extensibility.
•Navigate and resolve hard trade-offs in authentication, authorization, and trust models for AI-driven workflows, including OAuth patterns, token scoping, and secure agent interactions.

Key Requirements

•Strong hands-on engineering background in cloud-native, backend-heavy systems.
•Proven experience shaping architectural or platform-level decisions beyond a single team.
•Experience driving platform adoption across multiple teams — setting patterns and exemplars that others build from.
•Deep understanding of agentic AI systems, including MCP, tool-use patterns, LLM integration, and agent orchestration.
•Experience designing and evolving APIs and SDKs used by external developers or AI systems.

Experience:AICloudBackendPlatform engineering

Skills:CommunicationMentoringCollaborationLeadership

Languages:English

Tech Stack:TypeScriptAWSOAuthSDKAPIsMCPServerless

Company Brief

Autodesk

Industry: Enterprise Software

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Rafael, United States

Founded: 1982

Glassdoor: 3.9

Website LinkedIn Glassdoor