Siemens Digital Industries Software · 1 day ago
Senior Director, Agentic AI
Charlotte, TX
Full-time
Hybrid
Director/Executive
12+ years expSiemens Digital Industries Software is a leading global software company dedicated to computer aided design and simulation. The Senior Director of Agentic AI & Code Generation Platforms is responsible for setting the vision and driving outcomes for AI and developer productivity platforms, ensuring alignment with customer needs and business value.
Computer Software
No H1B
U.S. Citizen Only
Responsibilities
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
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
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/FinOps, 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
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
Foster a culture of experimentation with agentic workflows, autonomous orchestration, and adaptive reasoning systems; establish safe sandboxes for rapid prototyping and evaluation
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
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
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 executive-level narratives that connect technical investments to business outcomes
Own platform budgets, FinOps guardrails, and cost-to-serve models; negotiate vendor contracts and partnerships (cloud, tooling, data/ML) aligned to strategic outcomes and risk posture
Institute Responsible AI governance (fairness, robustness, transparency, privacy), security baselines, and regulatory readiness (e.g., data residency, audit trails, model risk). Ensure production systems operate per established procedures and best practices; champion secure-by-default controls and continuous compliance
Build and mentor a diverse, high-performing organization; set standards for technical excellence, psychological safety, and continuous improvement. Lead succession planning, career frameworks, and competency matrices for platform engineering, SRE, and AI/ML roles
Qualification
Required
Expert in Agile/Lean, platform engineering, SRE, and continuous delivery
Deep experience with cloud platforms, Kubernetes, IaC, observability, and incident/post-mortem practices
Strong awareness of AI/ML fundamentals, Information Retrieval (IR) techniques, and retrieval-augmented generation (RAG) pipelines
Proven ability in error analysis, specification authoring, documentation, and test writing using BDD-driven design principles
Executive communication and stakeholder management skills
BA/BS in Computer Science or related field required
12–15+ years in software/product/platform engineering with 5–8+ years leading managers and cross-functional teams; prior experience owning enterprise platforms and/or large AI initiatives
Preferred
GenAI stack familiarity preferred (LLMs, orchestration frameworks, vector databases, prompt/policy libraries)
Agentic experimentation desired—experience designing and validating autonomous agent workflows
MS/MBA preferred
Benefits
Flexibility - Choosing between working at home and the office at other times is the norm here.
Great benefits and rewards, as you'd expect from a world leader in industrial software.
Company
Siemens Digital Industries Software
We help organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Aleksandar Bradic
Chief Technology Officer, Supplyframe
Kirk Gutmann
Senior VP Technology & Innovation — CTO
Company data provided by crunchbase