Senior Agentic AI Software / Systems Engineer - US Hybrid Charlotte, NC

Senior Agentic AI Systems Engineer (Compliance & Licences) – US Hybrid Charlotte, NC About the Role We are seeking a Senior Agentic AI Systems Engineer to design, build, and operate production-grade AI agent systems that augment and automate real business workflows. This role goes beyond prompt engineering or demo-level prototypes. You will own agentic systems end-to-end—from architecture and integration with existing services, to reliability, evaluation, and long‑term operation. You’ll work closely with product, platform, and domain experts to deliver agentic capabilities that are trustworthy, scalable, and measurable, while helping define how agentic systems are built across the organization. What You’ll Do Design, build, and operate agentic systems that reliably complete real tasks, not just answer questions. Architect agents that support planning, memory, tool use, and multi‑step execution, selecting appropriate patterns (single-agent, multi‑agent, workflow‑driven, human‑in‑the‑loop) based on problem constraints and risk. Balance autonomy with control by designing agents that are predictable, debuggable, secure, and aligned with business goals. Build agents using modern frameworks (e.g., LangGraph, LangChain, Semantic Kernel, AutoGen, or equivalent), implementing structured outputs, tool‑calling, reflection, and state management. Design and implement MCP‑and/or RAG‑based integrations as first‑class mechanisms for how agents access tools, data, and context. Enforce security, consent, access control, and observability across all agent–tool interactions, partnering with platform teams to establish and evolve MCP integration standards. Integrate agentic systems into existing services and platforms via APIs and backend services, owning production readiness end‑to‑end. Define what “good” looks like for agents using clear metrics (e.g., accuracy, success rate, latency, cost, failure modes), and use those metrics to drive continuous improvement. Build automated evaluation pipelines (offline tests, synthetic data, regression checks) and instrument agents with tracing, logging, and observability to support debugging and iteration in production. Design fallback, recovery, and human‑escalation mechanisms for failure scenarios, proactively identifying and mitigating failure modes. Establish architectural standards and best practices for agentic development, raising the technical bar through design reviews, documentation, mentorship, and knowledge sharing. Partner with product and domain stakeholders to shape solutions, make informed trade‑offs, and ensure agentic systems deliver meaningful business impact. Context Knowledge of SBOM standards (especially CycloneDX, but also SPDX), and supply chain security. Knowledge of cybersecurity principles, threat model, and common attack vectors in software supply chains. Experience as maintainer of an inner‑source and/or open‑source project. Familiarity with containerization technologies. Required Experience 5+ years of professional software engineering experience, with a strong backend or systems background. Proven experience building LLM‑powered applications beyond prototypes. Hands‑on experience designing and implementing agentic systems, including agents, workflows, MCP‑based tool integration, and RAG. Strong proficiency in Python (or similar agent‑oriented languages) and experience building production APIs or services. Experience designing systems with observability, evaluation, and operational ownership in mind. Benefits Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: The pay range for this position is $129,600 – $233,300 annually with a target incentive of 5‑10% of the base salary. Salary may vary based on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location. Equal Employment Opportunity Statement Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. EEO is the Law Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law. Reasonable Accommodations If you require a reasonable accommodation in completing a job application, interviewing, completing any pre‑employment testing, or otherwise participating in the employee selection process, please fill out the accommodations form by clicking on this linkAccommodationfor disability form . If you’re unable to complete the form, you can reach out to our AskHR team for support at View phone number on click.appcast.io. Please note our AskHR representatives do not have visibility of application or interview status. Pay Transparency Siemens follows Pay Transparency laws. California Privacy Notice California residents have the right to receive additional notices about their personal information. To learn more, clickhere . Criminal History Qualified applications with arrest or conviction records will be considered for employment in accordance with applicable local and state laws. #J-18808-Ljbffr