Senior Director, Agentic AI

Job

490850

Posted since

08-Jan-2026

Organization

Digital Industries

Field of work

Research & Development

Company

Siemens Industry Software Inc.

Experience level

Experienced Professional

Job type

Full-time

Work mode

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

* Bellevue - Washington - United States of America

* Charlotte - Texas - United States of America

* Cincinnati - Ohio - United States of America

* Costa Mesa - California - United States of America

* Plano - Texas - United States of America

* Wilsonville - Oregon - United States of America

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation- helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

Position Overview

The Director, Agentic AI & Code Generation Platforms (SD) is the executive leader and key stakeholder for our enterprise agentic AI and developer productivity platforms. The SD sets the vision and drives outcomes for how autonomous AI agents, code-generation capabilities, and platform engineering unlock business value across product lines. This role aligns AI platform strategy with customer needs, measurable ROI, and responsible AI principles-ensuring teams have clear problem statements, prioritized backlogs, and secure, scalable foundations to deliver complete, performant, and durable solutions.

The SD provides repeatable, high-clarity content and enablement for squads, product teams, and executives, and brings deep fluency in Agile/Lean, Platform Engineering, MLOps, SRE, Continuous Delivery, Cloud, Containers/Kubernetes, and compliance-by-design.

Responsibilities

* Strategy & Vision:
Define and socialize the multi-year strategy for agentic AI and code-generation platforms, including architectural north stars, capability maps, and business-value hypotheses (OKRs, KPIs). Establish 'platform as a product' practices-clear service catalogs, SLAs/SLOs, roadmaps, and customer-obsessed discovery with product teams.

* Product & Platform Roadmaps:
Own quarterly/annual roadmaps that balance functional features (agent orchestration, tool integrations, secure function-calling/RAG pipelines, IDE plugins) with non-functional requirements (security, privacy, safety, resilience, observability, cost). Ensure platform roadmaps consistently account for compliance, security, operations, performance, and data governance from inception to run.

* Engineering Excellence (Agile, Dev Ex, SRE, CD):
Lead high-performing platform engineering and SRE squads practicing Agile/Lean, trunk-based development, CI/CD, progressive delivery, and 'you build it, you run it.' Drive improvements to source control, build systems, deployment pipelines, operations, maintenance, cost controls/Fin Ops, security tooling, monitoring/alerting/traceability, and audit readiness. Maintain a 24×7, global, highly-available SaaS environment aligned to internal/external SLAs/SLOs and error budgets; provide executive escalation for major incidents and post-mortem learning.

* Agentic AI & Code Generation Enablement:
Architect and productize agent runtimes, tool/plugin ecosystems, secure function-calling, retrieval-augmented generation (RAG), and policy enforcement layers (guardrails, content filters, privacy controls). Advance developer productivity with code-generation assistants (pair-programming, test generation, refactoring), documentation synthesis, and automated remediation-measuring real ROI on cycle time and defect escape rates.

* Agentic Experimentation &

Innovation: Foster a culture of experimentation with agentic workflows, autonomous orchestration, and adaptive reasoning systems; establish safe sandboxes for rapid prototyping and evaluation.

* Quality Engineering & Developer

Experience:

Institutionalize specification-driven development, error analysis, and behavior-driven design (BDD) practices across platform teams. Ensure automated test generation, documentation synthesis, and traceability for compliance and reliability.

* Data/ML Platform & LLMOps:
Partner with Data/ML leaders to operationalize model lifecycle (evaluation, deployment, monitoring), feature stores, vector indices, prompt and policy libraries, and red-team/testing frameworks for safety/quality. Govern model usage (internal/third-party) with clear standards for security, compliance, provenance, and cost/performance trade-offs.

* Stakeholder Engagement & Adoption:
Engage clients, product managers, and engineering leaders to discover needs, shape backlog intent ('what' and 'why'), and drive adoption of platform capabilities through playbooks, workshops, and internal marketplaces. Provide coaching and conflict resolution on features/requirements; deliver…