Staff AI Engineer – Agentic AI and Automaton
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 160000 - 200000
Posted on:
8 days ago
Vacancies:
1 Vacancy
Job Summary
At Collective Health were transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology compassionate service and world-class user experience design.
About the Role:
We are looking for a seasoned Staff Engineer to lead the design and delivery of highly scalable cloud-native backend data and AI systems with a strong focus on AI-driven automation and agentic workflows.
In this role you will define the technical direction for the core TPA platform (Eligibility Provider Data and others) enable intelligent end-to-end workflows across systems and drive the integration of AI into real-world business operations. You will operate at the intersection of backend architecture data engineering and applied AI while mentoring engineers and influencing technical strategy across teams.
This is a hands-on leadership role for someone who thrives in ambiguous high-impact problem spaces and can translate emerging AI capabilities into production-grade systems at scale.
What youll do:
- Set the technical vision and drive architecture for scalable cloud-native backend data and AI systems
- Design and build API-first and event-driven systems supporting internal and external integrations (partners EDI downstream platforms)
- Lead development of high-throughput data pipelines (batch streaming) powering operational workflows and AI use cases
- Design and implement AI-driven automation and agentic workflows to reduce manual operations and enable intelligent decisioning
- Integrate LLM-based capabilities (search summarization copilots workflow orchestration) into core platform services
- Establish best practices for AI systems (prompting evaluation guardrails observability responsible AI)
- Build and evolve integration layers across APIs events and file-based systems (including complex partner integrations)
- Improve data quality validation lineage and real-time visibility across critical business workflows
- Drive adoption of AI-assisted development workflows (e.g. Cursor Claude Code GitHub Copilot) to accelerate engineering velocity and delivery
- Partner with Product Data and Operations to translate complex workflows into scalable intelligent systems
- Lead small but nimble teams cross-team initiatives influencing technical roadmap and AI adoption and implementation strategy
- Mentor sr. engineers and technical leads raising the bar on system design data engineering and AI adoption
To be successful in this role youll need:
- 10 years of experience building scalable distributed backend systems and platforms
- Strong expertise in Java/Spring Boot and/or Python with deep understanding of microservices architecture
- Proven experience designing and operating integration-heavy systems (APIs event-driven systems partner integrations)
- Hands-on experience with cloud-native architectures and Implementation (AWS and/or GCP)
- Strong experience building data pipelines and data-intensive systems (batch and/or streaming)
- Deep understanding of data engineering principles (data modeling quality lineage observability)
- Experience working with complex data domains (e.g. transactional systems EDI or operational workflows)
- Hands-on experience integrating AI/ML or LLM-based capabilities into production systems
- Familiarity with RAG pipelines embeddings and vector-based retrieval systems
- Solid understanding of event-driven architectures (Kafka queues SQS) and distributed systems design
- Hands-on experience using AI-assisted development tools (e.g. Cursor Claude Code GitHub Copilot) to accelerate development
- Strong understanding of AI-augmented engineering workflows including prompt-driven development testing acceleration and iterative refinement
- Proven ability to lead cross-team technical initiatives influence architecture and mentor senior engineers
- Strong communication skills with the ability to connect technical decisions to business impact
Our Tech Stack:
- Backend: Java / Spring Boot Python
- Cloud: AWS GCP
- Orchestration: Kubernetes Docker
- Databases: PostgreSQL
- Frontend: React Angular
- AI Tooling: Claude Code GitHub Copilot Cursor Gemini and emerging AI platforms
Pay Transparency Statement
This is a hybrid position based out of one of our offices: San Francisco CA Plano TX or Lehi UT. Hybrid employees are expected to be in the office two days per week.#LI-hybrid
The actual pay rate offered within the range will depend on factors including geographic location qualifications experience and internal addition to the salary you will be eligible for 330000 stock options and benefits like health insurance 401k and paid time off. Learn more about our benefits at Francisco CA Pay Range
$200000 - $250000 USD
Lehi UT Pay Range
$160000 - $200000 USD
Plano TX Pay Range
$176000 - $220000 USD
Why Join Us
- Mission-driven culture that values innovation collaboration and a commitment to excellence in healthcare
- Impactful projects that shape the future of our organization
- Opportunities for professional development through internal mobility opportunities mentorship programs and courses tailored to your interests
- Flexible work arrangements and a supportive work-life balance
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status. Collective Health is committed to providing support to candidates who require reasonable accommodation during the interview process. If you need assistance please contact .
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About Company
Collective Health offers the first integrated solution that empowers employers to administer plans, manage costs, and take care of their people—all in one place.
