Agentic Developer

About the Role: Agentic Developer

As an Agentic Developer on the One Agentic Enablement Team at Siemens Digital Industries Software, you will play a pivotal role in designing, building, and productizing agentic AI capabilities. Your work will empower existing development teams across OSES by creating reusable frameworks, SDKs, policies, and integrations. This ensures secure, reliable, and measurable code generation, autonomous workflows, and sophisticated retrieval-augmented solutions.

This role heavily emphasizes developer enablement, which includes pairing with squads, capturing detailed requirements, delivering accelerators, and ensuring teams can confidently and efficiently adopt agentic patterns.

Keys to Success

We believe success is built on four pillars:

• Collaboration: Fostering strong, trust-based partnerships with capability teams across OSES through open communication and shared goals to embed enablement throughout the landscape.
• High-Performance Talent: Composing our team of adaptable experts with deep experience in agentic systems, GenAI, and developer tooling, ready to co-develop and unblock squads in real time.
• Robust Tooling: Leveraging and continuously evaluating modern LLM orchestration, vector search, observability, and automation tools to build scalable, secure agentic solutions. Our toolset evolves to support rapid prototyping and production reliability.
• Developer Enablement Focus: Prioritizing understanding our developer users and delivering processes, accelerators, and tools that complement their expertise and amplify their productivity.

Leadership Communication & Team Understanding

You will contribute to leadership communication by declaring the Agentic Enablement Team's deliverables and engagement models, requiring collaboration for standardized patterns, and promoting cross-team collaboration.

You will also help the team understand existing OSES capabilities and tech stack through:

• Demos of agentic operations and accelerators
• Reviews of architecture, integration points, and data flows
• Observability and telemetry for AI services
• Developer dashboards, alerts, and policy status
• Insights into how teams meet OLAs and comply with guardrails
• Defining and measuring SLIs/SLOs for agentic services

One Agentic Enablement Team Charter

Our charter is to deliver secure, reliable, and scalable agentic capabilities by productizing off-the-shelf and custom tooling with precision, adaptability, and a strong focus on cybersecurity and compliance. We create value through reusable accelerators, automation, and continuous improvement, empowering developers to focus on innovation while ensuring trustworthy outcomes for clients.

Vision & Scope

Our vision is to empower OSES development teams with resilient, scalable, and secure agentic AI foundations, enabling cross-team collaboration, short time-to-adoption, and unified responses to critical challenges.

The Agentic Enablement Team partners with development and capability teams to build and operate agentic frameworks, RAG pipelines, policy and prompt libraries, IDE extensions, and SDKs. We own developer enablement for agentic patterns, including documentation, training, and accelerators that embed reliability, security, and compliance across the platform.

Responsibilities

• Agent Frameworks: Design and maintain agent runtimes, secure function-calling, tool integrations, and orchestration patterns.
• RAG and IR: Build retrieval-augmented generation pipelines with robust information retrieval, indexing, and data governance.
• Developer Accelerators: Create SDKs, APIs, templates, and IDE extensions that enable code generation, test creation, and documentation synthesis.
• Enablement and Adoption: Pair with squads to onboard use cases, deliver workshops, playbooks, and office hours; remove blockers and ensure successful rollout.
• Quality and Safety: Implement error analysis, spec-driven development, and BDD-based testing; enforce guardrails, privacy, and policy compliance.
• Observability and Reliability: Instrument agentic services for metrics, logs, and traces; define SLIs/SLOs and operational runbooks.
• Collaboration: Work closely with SRE, Platform Engineering, Security, and Product to deliver end-to-end outcomes and measurable ROI.
• Continuous Improvement: Capture feedback, iterate on accelerators, and publish reference architectures and best practices.

Methodology ('How We Work')

We achieve our goals through:

• Pairing Model: Embedding with dev teams during discovery, spike, and delivery phases; co-owning adoption plans and milestones.
• Reusable Building Blocks: Publishing versioned libraries, components, and policies-as-code; maintaining a central catalog and governance.
• Safe Experimentation: Providing sandbox environments with test data and guardrails for rapid prototyping and evaluation.
• Reference Architectures: Documenting patterns for agents, RAG, and observability; delivering migration guides and design reviews.
• Measurement: Tracking cycle time, test coverage, defect escape rate, and adoption metrics; reporting outcomes via dashboards.
• Developer Education: Running workshops, office hours, and bite-sized learning assets; maintaining living documentation and examples.
• Integration Excellence: Ensuring CI/CD, IaC, and security scans are integrated; enforcing versioning, changelogs, and deprecation policies.

Objectives

• Adoption: Onboard N+ teams to agentic accelerators with ≥90% successful production launches.
• Productivity: Reduce average cycle time for targeted workflows by ≥25% via code generation and automation.
• Quality: Increase automated test coverage by ≥20% and reduce defect escape rate by ≥15%.
• Reliability: Establish SLIs/SLOs for agentic services and achieve ≥99.9% uptime for core enablement APIs.
• Governance: Implement standardized policies, audits, and documentation for all agentic integrations.

Key Characteristics & Values

• Enablement-First: Amplifying developer impact through usable, well-documented accelerators and patterns.
• Secure-by-Default: Embedding security, privacy, and compliance in every component and workflow.
• Outcome-Driven: Optimizing for measurable improvements in speed, quality, reliability, and cost.
• Empathy for Developers: Designing with developer ergonomics in mind; minimizing friction and cognitive load.
• Documentation Excellence: Treating documentation as a product; ensuring clarity, traceability, and discoverability.
• Collaboration: Building trust and shared ownership with FT, IT, CYS, and supplier partners.
• Continuous Learning: Iterating based on feedback and incidents; evolving patterns as the stack matures.

Required Knowledge/Skills, Education, And Experience

Knowledge/Skills

• Programming proficiency in Python or TypeScript (Go or Java familiarity a plus); strong clean code, testing, and refactoring practices.
• Hands-on experience with GenAI stacks: LLM orchestration frameworks, function-calling, prompt/policy libraries, and vector databases.
• Solid understanding of AI/ML and Information Retrieval fundamentals; experience building and evaluating RAG pipelines.
• Expertise in error analysis, spec authoring, and behavior-driven design (BDD) for automated tests and acceptance criteria.
• Proficiency in API and SDK design; CI/CD integration; and observability for AI services (metrics, logs, traces).
• Understanding of security, privacy, and compliance guardrails; experience with policy-as-code and governance workflows.
• Demonstrated developer enablement mindset: experience with workshops, playbooks, documentation, and pairing with teams to drive adoption.

Education

BA/BS in Computer Science, AI/ML, Information Systems, or a related field required; an advanced degree or equivalent experience is preferred.

Experience

2+ years of software development, with 2+ years specifically building agentic or GenAI solutions; prior experience enabling developers through SDKs, templates, or internal platforms is essential.

This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). Employment is contingent on either verifying the U.S. Person status or obtaining any necessary export license.

Why Siemens Digital Industries Software?

Working at Siemens Digital Industries Software means flexibility – choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

Join a collection of over 377,000 minds building the future one day at a time in over 200 countries. We're dedicated to equality and welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!

Key skills/competency

• Agentic AI
• GenAI Development
• LLM Orchestration
• Python/TypeScript
• RAG Pipelines
• Developer Enablement
• API/SDK Design
• CI/CD Integration
• Observability for AI
• Cybersecurity & Compliance