As an Agentic Developer on the One Agentic Enablement Team, you will design, build, and productize agentic AI capabilities that empower existing development teams across OSES. You will create reusable frameworks, SDKs, policies, and integrations that enable secure, reliable, and measurable code generation, autonomous workflows, and retrieval-augmented solutions. This role emphasizes developer enablement: pairing with squads, capturing requirements, delivering accelerators, and ensuring teams can adopt agentic patterns confidently and efficiently.

Set up – what do we need to be successful

Collaboration

We foster strong, trust-based partnerships with capability teams across OSES. Open communication, shared goals, and streamlined workflows ensure enablement is embedded throughout the landscape.

High-Performance Talent

Our team is composed 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

We leverage and continuously evaluate modern LLM orchestration, vector search, observability, and automation tools to build scalable, secure agentic solutions. Our toolset evolves with team needs, supporting rapid prototyping and production reliability.

Developer Enablement Focus

We prioritize understanding our users developers and deliver processes, accelerators, and tools that complement their expertise and amplify their productivity.

Leadership communication

·       Declare what the Agentic Enablement Team is delivering and how to engage

·       Require dev/capability teams to collaborate with the Agentic Enablement Team for standardized patterns

·       Promote cross-team collaboration between development teams

Helping the team understand Existing OSES Capabilities and TechStack

·       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

·       How teams meet OLAs and comply with guardrails

·       How we measure SLIs/SLOs for agentic services

One Agentic Enablement Team Charter

Deliver secure, reliable, and scalable agentic capabilities by productizing off-the-shelf and custom tooling with precision, adaptability, and a 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

Empower OSES development teams with agentic AI foundations that are resilient, scalable, and secure, enabling cross-team collaboration, short time-to-adoption, and unified responses to critical challenges.

Scope

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.

How

·       Pairing Model: Embed with dev teams during discovery, spike, and delivery phases; co-own adoption plans and milestones.

·       Reusable Building Blocks: Publish versioned libraries, components, and policies-as-code; maintain a central catalog and governance.

·       Safe Experimentation: Provide sandbox environments with test data and guardrails for rapid prototyping and evaluation.

·       Reference Architectures: Document patterns for agents, RAG, and observability; deliver migration guides and design reviews.

·       Measurement: Track cycle time, test coverage, defect escape rate, and adoption metrics; report outcomes via dashboards.

·       Developer Education: Run workshops, office hours, and bite-sized learning assets; maintain living documentation and examples.

·       Integration Excellence: Ensure CI/CD, IaC, and security scans are integrated; enforce 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: Focus on amplifying developer impact through usable, well-documented accelerators and patterns.

·       Secure-by-Default: Embed security, privacy, and compliance in every component and workflow.

·       Outcome-Driven: Optimize for measurable improvements in speed, quality, reliability, and cost.

·       Empathy for Developers: Design with developer ergonomics in mind; minimize friction and cognitive load.

·       Documentation Excellence: Treat documentation as a product; ensure clarity, traceability, and discoverability.

·       Collaboration: Build trust and shared ownership with FT, IT, CYS, and supplier partners.

·       Continuous Learning: Iterate based on feedback and incidents; evolve patterns as the stack matures.

Required Knowledge/Skills, Education, and Experience

Knowledge/Skills

·       Strong programming in Python or TypeScript (plus familiarity with Go or Java); clean code, testing, and refactoring.

·       Hands-on with GenAI stacks: LLM orchestration frameworks, function-calling, prompt/policy libraries, and vector databases.

·       AI/ML and Information Retrieval fundamentals; experience building RAG pipelines and evaluating relevance/quality.

·       Error analysis, spec authoring, and behavior-driven design (BDD) for automated tests and acceptance criteria.

·       API and SDK design; CI/CD integration; observability for AI services (metrics, logs, traces).

·       Security, privacy, and compliance guardrails; policy-as-code and governance workflows.

·       Developer enablement mindset: workshops, playbooks, documentation, and pairing with teams to drive adoption.

Education

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

Experience

4–8+ years of software development with 2+ years building agentic or GenAI solutions; prior experience enabling developers through SDKs, templates, or internal platforms.

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 us?

Working at Siemens 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.

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 we 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!

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