Software Development Engineer 3- AI & Agentic Systems
Overview:
In this senior technical role, you will architect and deliver end-to-end services for AI-driven initiatives, shaping next-generation technology and cross-functional collaboration. You will champion AI adoption, design multi-agent workflows, and own system lifecycles from concept to production. The position emphasizes secure, reliable cloud architecture, performance-minded delivery, and mentorship across SDE levels. You will work closely with product and external AI partners to drive impactful, scalable solutions. Compensation / Benefitshealth, dental, and vision insuranceretirement savings planpaid time offhealth savings accountflexible spending accountslife and disability insurance
Responsibilities:
- Design and deploy multi-agent workflows within AWS Agent Core, handling state, memory, and tool interactions
- Drive internal AI enablement and coach teams on tools like Google Gemini Enterprise and ClaudeOwn end-to-end service lifecycles and cross-platform integrations
- Make data orchestration trade-offs based on robust requirements
- Build resilient systems with retries, circuit breakers, and fallbacks; ensure testability
- Review code for security and align with OAuth and authentication standards
- Design cost-aware, scalable cloud infrastructure with auto-scaling and failover
- Own deployment packaging and environment management across sandbox tiers
- Optimize CI/CD pipelines and reduce build times
- Lead incident management with runbooks and enable Tier 1/2 support
- Partner with Product Managers on functional and non-functional requirements
- Negotiate backlog including technical debt and refactoring while balancing Must HavesMentor SDE 1/2, enforce clean design patterns, and promote quality
- Facilitate data-driven design discussions and resolve engineering disagreements
- Demonstrate continuous learning, adopting new languages/frameworks and sharing knowledge
Key requirements:
- Senior-level software engineering experience with architecture ownership
- Experience with cloud infrastructure design and CI/CD workflows
- Proficiency in security review and authentication standards (OAuth)
- Ability to design and maintain complex integrations and multi-agent systems
- Strong incident management and debugging skills for complex issues
- Mentorship and leadership capabilities with cross-functional collaboration
- Comfort collaborating with product teams and external AI partnerscollaborationmentorshipcommunicationAI tools: Google Gemini Enterprise, AWS Agent Core, ClaudeAWS cloud architecture
- Multi-agent workflows