Staff AI Engineer – Agentic AI and Automaton

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$200K-$250K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

93% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff AI Engineer – Agentic AI and Automaton San Francisco, CA | Lehi, UT | Plano, TX At Collective Health, we're 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 you'll 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

Read the full description at jobs.collectivehealth.com. FewerJobs shows a preview and links to the original posting.