Senior Staff Software Engineer (Agentic AI)

Join our team as a Senior Staff Software Engineer (Agentic AI) and play a key role in shaping the technical vision and architecture of our AI-native and cloud-native systems. You will work on complex problems, drive innovation, and influence the direction of our platform. This role requires deep technical expertise, broad systems thinking, and the ability to mentor and develop senior engineers.

- Active engagement with the broader engineering and AI/ML community (conferences, publications, open-source, etc.)
- Deep expertise with cloud computing (AWS/GCP/Azure), managed AI services, and infrastructure-as-code
- Expert knowledge of LLM orchestration frameworks, RAG architectures, retrieval optimization, and vector database technologies
- Expert-level proficiency in Python, Java, and JavaScript/GlideScript; deep expertise in ServiceNow scripting, APIs, and platform architecture
- Experience mentoring senior engineers, engineering managers, or technical leaders
- Demonstrated thought leadership in AI-native development, cloud architecture, or software engineering
- 5+ years of hands-on experience building and scaling systems with third-party AI/ML services and platform APIs across multiple cloud providers
- 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience
- 5+ years of experience with LLM/AI systems at scale, including prompt engineering, agent design, retrieval systems, and production AI/ML services
- 3+ years of experience designing and building applications on platform-as-a-service or SaaS platforms; deep expertise with ServiceNow platform at scale
- Experience with and strong opinions about secure coding practices, responsible AI, and compliance requirements
- Strong background in software architecture, system design, and technical strategy; experience shaping platform strategy and roadmap
- Demonstrated expertise in distributed systems design, microservices architecture, and large-scale systems
- 4+ years in cloud-native and AI-native systems or equivalent senior-level roles
- Experience leading customer-critical initiatives or providing technical leadership on strategic accounts
- Exceptional communication skills; ability to influence across levels of technical seniority and non-technical audiences; demonstrated customer engagement experience
- Bachelor's degree in computer science, engineering, or related field; advanced degree or significant AI/ML research/publications is a plus
- Strong background in Kubernetes, containerization, and cloud-native deployment patterns
- Proven ability to lead large, cross-functional technical initiatives; track record of significant technical accomplishments
- Expertise in building evaluation frameworks, metrics systems, and production monitoring for AI/ML systems
- Proven track record designing high-performance, mission-critical data pipelines, embedding systems, and vector databases