Agentic Developer – AI Development & Enablement
Listed on 2026-01-12
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IT/Tech
AI Engineer
Job Family:
Software
Req
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.
Setup – 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 TalentOur 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 ToolingWe 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 FocusWe 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
- 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
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.
VisionEmpower 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.
ScopeThe 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.
- Pairing Model:
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