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HomeCompaniesBrillio 2Senior Architect

Senior Architect

Brillio 2 · San Francisco, California, United States · Hybrid · Active · $175,000–$300,000 / year · Lever

Job facts

FieldValue
CompanyBrillio 2
TitleSenior Architect
Normalized title-
Department / teamDigital Engineering / Digital Engineering : Digital Engineering
LocationSan Francisco, CA, United States
Work modelHybrid / Hybrid
Employment typeEmployee
Salary$175,000–$300,000 / year
Statusactive
ATS providerLever
Posted / first seen2026-03-31 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Brillio 2.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Digital Engineering.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyBrillio 2
Source8dec4a9c-f965-4413-9dbd-4366a88c56a5
ATS providerLever

Description

Role Brief: We are looking for Forward Deployed AI Engineers (FDEs) to partner with one of the largest healthcare payers in the U.S. to redefine business processes using AI and agentic workflows. This role goes beyond traditional engineering. You will work directly with business and technology teams to design, build, and deploy AI agents that transform how healthcare operations function, while enabling teams to become AI-native and self-sufficient. You will operate at the intersection of AI, engineering, and healthcare operations, delivering real-world impact across critical payer workflows. Key Responsibilities: • Reimagine and redesign healthcare processes using AI-first principles • Identify opportunities to replace or augment manual workflows with AI agents • Partner with business stakeholders to translate problems into working AI solutions • Design, build, and deploy AI agents for enterprise workflows • Implement multi-agent systems using LLMs (prompting, memory, tool usage) • Rapidly prototype and productionize solutions using platforms such as: OpenAI, Anthropic, Google (Gemini) • Embed with client teams (business + IT) to Whiteboard solutions • Build prototypes in days/weeks • Deploy and iterate rapidly • Operate as a trusted advisor + builder, not just a developer • Leverage AI across the full software lifecycle: Code generation and refactoring, Automated testing and validation, Documentation and observability • Drive productivity improvements across engineering teams • Train business and ops teams to use AI tools and agents effectively, build and iterate workflows independently, develop reusable playbooks and frameworks • You will work on transforming core healthcare processes such as: Claims Processing & Adjudication, Automate intake, validation, and exception handling • Prior Authorization - AI-driven clinical review, decision support, and workflow orchestration • Member & Provider Contact Center - Intelligent agents for call routing, resolution, and digital containment • Provider Data Management - Data intake, validation, and directory accuracy • Care Management & Utilization Review - AI-assisted case management and risk identification • Revenue Cycle & Payment Integrity - Fraud, waste, and abuse detection using AI Required Skills & Experience: • 6–12+ years of experience in software engineering, AI, or related fields • Strong software engineering background (Python, APIs, microservices) • Experience with LLMs, prompt engineering, and AI frameworks • Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.) • Cloud experience with Amazon Web Services, Microsoft (Azure) • Experience building AI/ML or LLM-powered applications • Understanding of structured + unstructured data pipelines • Knowledge of model evaluation, monitoring, and governance • Ability to work directly with business stakeholders • Strong problem-solving and communication skills • Experience in rapid prototyping and iterative delivery • Experience in U.S. healthcare payer or PBM environments • Understanding of claims, prior auth, or care management workflows • Familiarity with regulatory and compliance considerations (HIPAA, etc.) • Prior experience in client-facing or consulting roles preferred What Makes This Role Unique • Work at the forefront of AI-driven enterprise transformation • Build real-world AI agents that replace traditional workflows • Operate in a forward-deployed model with direct business impact • Opportunity to scale from small pods to enterprise-wide transformation programs Success Metrics: • Number of business workflows transformed using AI • Reduction in manual effort / cost-to-serve • Adoption of AI tools by business teams • Speed of prototyping → production deployment Nice to Have: • Experience with healthcare platforms (claims, CRM, contact center) • Exposure to tools like Salesforce, ServiceNow, or Epic integrations • Prior experience with companies like Palantir Technologies or similar forward-deployed models Benefits: Brillio offers a comprehensive benefits program for this position, subject to applicable eligibility requirements: • Medical, Dental, and Vision Insurance with multiple plan options • Health Savings Account (HSA) with Brillio employer contributions and Flexible Spending Accounts (FSA) • Company-paid Life Insurance and Accidental Death & Dismemberment (AD&D) coverage • Short-Term and Long-Term Disability coverage • 401(k) retirement savings plan • Flexible Paid Time Off (Flexi-PTO) and paid company holidays • Paid Parental Leave including maternity, parental bonding, adoption, and surrogacy benefits • Employee Assistance Program (EAP) and wellness resources • Learning and Development programs including training and certification support • Student Loan Contribution Program for eligible employees • Employee discount and wellness programs including fitness, lifestyle, and family support benefits • Backup care support for children, elder care, and pets • Additional voluntary benefits including legal services, accident coverage, critical illness coverage, and pet insurance

Full job record

Job ID7e568a3dc19625a1e3848ee6668748edeb8524d5
Org ID717b76e6-2650-4b68-8dcc-07a5191937f7
Source ID8dec4a9c-f965-4413-9dbd-4366a88c56a5
Board ID8dec4a9c-f965-4413-9dbd-4366a88c56a5
Providerlever
Provider Job Key2d7e4d11-008e-40fb-9a23-32e980bba5e4
TitleSenior Architect
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco, California, United States
DepartmentDigital Engineering
TeamDigital Engineering : Digital Engineering
Employment TypeEmployee
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionCA
CitySan Francisco
Salary RawUSD 175000-300000 per-year-salary
Salary Min175,000
Salary Max300,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/brillio-2/2d7e4d11-008e-40fb-9a23-32e980bba5e4
Apply URLhttps://jobs.lever.co/brillio-2/2d7e4d11-008e-40fb-9a23-32e980bba5e4/apply
First Seen At2026-05-29 07:00:55Z
Last Seen At2026-06-06 07:56:23Z
Last Checked At2026-06-06 07:56:23Z
Last Changed At2026-06-06 07:56:23Z
Inactive At
Source Posted At2026-03-31 06:44:55Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=brillio-2/date=2026-06-06/2026-06-06T07-56-23-257Z-88042de37c74422077c9574e6f2f3e023484ec5a8ec59ac251f9424c6b661fe0.json
Event Fields
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}
Parsed Structured
{
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  "location": {
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  "launch_scope": {
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    "countries": [
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  },
  "remote_policy": "hybrid",
  "salary_period": "year",
  "workplace_type": "hybrid",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "Key Responsibilities:",
      "content": "<div>•&nbsp;Reimagine and redesign healthcare processes using AI-first principles<br>•&nbsp;Identify opportunities to replace or augment manual workflows with AI agents<br>•&nbsp;Partner with business stakeholders to translate problems into working AI solutions<br>•&nbsp;Design, build, and deploy AI agents for enterprise workflows<br>•&nbsp;Implement multi-agent systems using LLMs (prompting, memory, tool usage)<br>•&nbsp;Rapidly prototype and productionize solutions using platforms such as: OpenAI, Anthropic, Google (Gemini)<br>•&nbsp;Embed with client teams (business + IT) to Whiteboard solutions<br>•&nbsp;Build prototypes in days/weeks<br>•&nbsp;Deploy and iterate rapidly<br>•&nbsp;Operate as a trusted advisor + builder, not just a developer<br>•&nbsp;Leverage AI across the full software lifecycle: Code generation and refactoring, Automated testing and validation, Documentation and observability<br>•&nbsp;Drive productivity improvements across engineering teams<br>•&nbsp;Train business and ops teams to use AI tools and agents effectively, build and iterate workflows independently, develop reusable playbooks and frameworks<br>•&nbsp;You will work on transforming core healthcare processes such as: Claims Processing &amp; Adjudication, Automate intake, validation, and exception handling<br>•&nbsp;Prior Authorization - AI-driven clinical review, decision support, and workflow orchestration<br>•&nbsp;Member &amp; Provider Contact Center - Intelligent agents for call routing, resolution, and digital containment<br>•&nbsp;Provider Data Management - Data intake, validation, and directory accuracy<br>•&nbsp;Care Management &amp; Utilization Review - AI-assisted case management and risk identification<br>•&nbsp;Revenue Cycle &amp; Payment Integrity - Fraud, waste, and abuse detection using AI</div>"
    },
    {
      "text": "Required Skills & Experience:",
      "content": "<div>•&nbsp;6–12+ years of experience in software engineering, AI, or related fields<br>•&nbsp;Strong software engineering background (Python, APIs, microservices)<br>•&nbsp;Experience with LLMs, prompt engineering, and AI frameworks<br>•&nbsp;Familiarity with agent frameworks (LangChain, Semantic Kernel, etc.)<br>•&nbsp;Cloud experience with Amazon Web Services, Microsoft (Azure)<br>•&nbsp;Experience building AI/ML or LLM-powered applications<br>•&nbsp;Understanding of structured + unstructured data pipelines<br>•&nbsp;Knowledge of model evaluation, monitoring, and governance<br>•&nbsp;Ability to work directly with business stakeholders<br>•&nbsp;Strong problem-solving and communication skills<br>•&nbsp;Experience in rapid prototyping and iterative delivery<br>•&nbsp;Experience in U.S. healthcare payer or PBM environments<br>•&nbsp;Understanding of claims, prior auth, or care management workflows<br>•&nbsp;Familiarity with regulatory and compliance considerations (HIPAA, etc.)<br>•&nbsp;Prior experience in client-facing or consulting roles preferred</div>"
    },
    {
      "text": "What Makes This Role Unique",
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    },
    {
      "text": "Success Metrics: ",
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    },
    {
      "text": "Nice to Have: ",
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    },
    {
      "text": "Benefits: ",
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    }
  ],
  "country": "US",
  "createdAt": 1774939495738,
  "updatedAt": null,
  "categories": {
    "team": "Digital Engineering : Digital Engineering",
    "location": "San Francisco, California, United States",
    "commitment": "Employee",
    "department": "Digital Engineering",
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  },
  "salaryRange": {
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    "currency": "USD",
    "interval": "per-year-salary"
  },
  "workplaceType": "hybrid"
}
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