VP of Engineering
Health Admins, Inc., Austin, TX, United States
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VP of Engineering
Full Time Senior Management Austin, TX, US
2 days ago Requisition ID: 1347
Location:
Remote, Texas Preferred
About Us
Health Admins is a leading third‑party administrator in the healthcare space. Our Vision is to radically improve the way individuals interact with the healthcare system. We are committed to providing innovative and efficient health care solutions to our clients, ensuring they receive the best possible care and service. Our team is currently seeking a highly skilled and experienced VP of Engineering to join our dynamic team.
What We Are Looking For
Our ideal candidate will play a crucial role in managing our engineering environment, optimizing its performance, and driving continuous improvements to support our business goals and enhance our service delivery.
Values
Be Authentic: Be true and honest
Be Helpful: Pitch in and help
Be Accountable: Do what you say you are going to
Employees are expected to embrace our core values by being “A Hero in Action.” These values lay the foundation for the way we engage with each other and with our clients. They form the guardrails for our decision making and approach to problem solving.
Summary/Objective
The VP of Engineering owns the technical vision, AI strategy, and engineering team for the organization's technology division. This is a hands‑on leadership role — equal parts architect, builder, and team leader. The VP of Engineering makes the technical decisions that shape how we build, drives AI adoption across the organization, and is directly responsible for team culture, hiring, and how we scale. This role operates with startup‑level autonomy inside an established business, requiring someone who stays close to the work while building the team and systems around them.
Responsibilities
Own the engineering team: manage daily scrums, lead weekly team meetings, and set direction on priorities, blockers, and technical approach
Define and drive the organization's AI and technology strategy, including platform selection, architecture patterns, and build‑vs‑buy decisions
Design and own AI/ML architecture across cloud platforms (AWS Bedrock, Google Vertex AI), establishing standards for RAG implementations, agent orchestration, and model selection
Contribute directly to production codebases; this is a hands‑on role, not management from a distance
Architect agentic systems using modern patterns: MCP (Model Context Protocol), tool‑use, function calling, and multi‑step orchestration frameworks
Own the full data quality pipeline upstream of RAG: document ingestion architecture, parsing strategies, chunking methodology, and continuous iteration based on retrieval performance
Define and implement observability strategy, evaluation frameworks, production metrics, drift detection, and quality monitoring for deployed AI systems
Own cost optimization: model selection tradeoffs, token economics, usage monitoring, and budget forecasting at enterprise scale
Hire, mentor, and develop engineers; build a high‑performing team culture that balances speed with code quality and system longevity
Establish and refine engineering processes: CI/CD pipelines, git workflow standards, SDLC documentation, code review practices, and onboarding programs
Develop AI‑assisted development workflows and tooling that create a multiplying effect on team productivity
Define guardrails, compliance patterns, and scalability strategies for AI systems handling PHI
Collaborate with Operations, Compliance/Legal, and business stakeholders to identify, prioritize, and deliver AI use cases
Ensure all engineering and AI implementations comply with HIPAA and organizational data governance requirements
Report to the CTO on team performance, technical direction, and strategic roadmap
Skills Required
Proven ability to lead engineering teams while remaining technically hands‑on
Strong architectural thinking with the ability to balance long‑term vision against near‑term delivery needs
Ability to translate complex technical concepts for non‑technical stakeholders and align engineering efforts with business goals
Excellent verbal, written, and interpersonal communication skills
Experience building team culture, establishing engineering processes, and scaling development organizations
Ability to make sound technical decisions with incomplete information and operate autonomously with minimal oversight
Strong problem‑solving skills and comfort working in ambiguous, fast‑moving environments
Ability to identify and drive AI adoption opportunities across teams, creating repeatable frameworks and workflows
Solid time management skills with the ability to multitask and adjust priorities in a fast‑paced environment
Must be proficient with Microsoft Office (intermediate Word, basic Excel)
Education/Experience
Required: Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or related field; or equivalent practical experience
7+ years in software engineering with progressive technical leadership
3+ years in engineering management, including direct team leadership, hiring, and performance management
Demonstrated experience in architecting and deploying AI/ML systems in production environments
Track record of building or scaling engineering teams and establishing development processes
Experience designing systems that handle sensitive data with appropriate security and compliance controls
Preferred: Master's degree in Computer Science, AI/ML, or related field
Experience in HIPAA‑regulated environments
Insurance, healthcare payer, or healthshare industry experience
Experience operating in a startup or startup‑like environment within a larger organization
History of driving AI adoption and building AI‑augmented development workflows across teams
Technical Knowledge
Required: Deep expertise in AWS Bedrock and/or Google Vertex AI
Proficiency with large language models (Claude, GPT, Gemini) and their APIs
Hands‑on experience building RAG systems end‑to‑end — including document ingestion, parsing, chunking strategies, embedding models, vector databases, and retrieval optimization
Experience with vector databases (Pinecone, pgvector, or similar)
Strong background in prompt engineering, context engineering, and LLM integration patterns
Hands‑on experience with agentic patterns: MCP (Model Context Protocol), tool‑use/function calling, ReAct, Plan‑and‑Execute, or similar approaches
Experience with orchestration frameworks (LangGraph, LangChain, or similar)
Proficiency in Python and/or TypeScript for AI/ML development
Experience in architecting and maintaining CI/CD pipelines and development automation
Preferred: Experience with LLM Ops tooling (LangSmith, Weights & Biases, Arize, Helicone, or similar)
Familiarity with HIPAA compliance frameworks and PHI data handling requirements
Experience with Salesforce development (Apex, LWC) is a plus
Knowledge of data governance and lineage tracking
Experience with AI observability and evaluation systems
What We Offer
Competitive salary and benefits package
Dynamic and innovative work environment
Opportunities for professional growth and development
Remote work flexibility
Equal Opportunity Statement
We are deeply committed to building a workplace and global community where inclusion is not only valued but prioritized. We are proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro diversity, disability, age or veteran status, or any other non‑merit‑based or legally protected grounds. We are committed to providing reasonable accommodation to qualified individuals with disabilities in the employment application process.
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VP of Engineering
Full Time Senior Management Austin, TX, US
2 days ago Requisition ID: 1347
Location:
Remote, Texas Preferred
About Us
Health Admins is a leading third‑party administrator in the healthcare space. Our Vision is to radically improve the way individuals interact with the healthcare system. We are committed to providing innovative and efficient health care solutions to our clients, ensuring they receive the best possible care and service. Our team is currently seeking a highly skilled and experienced VP of Engineering to join our dynamic team.
What We Are Looking For
Our ideal candidate will play a crucial role in managing our engineering environment, optimizing its performance, and driving continuous improvements to support our business goals and enhance our service delivery.
Values
Be Authentic: Be true and honest
Be Helpful: Pitch in and help
Be Accountable: Do what you say you are going to
Employees are expected to embrace our core values by being “A Hero in Action.” These values lay the foundation for the way we engage with each other and with our clients. They form the guardrails for our decision making and approach to problem solving.
Summary/Objective
The VP of Engineering owns the technical vision, AI strategy, and engineering team for the organization's technology division. This is a hands‑on leadership role — equal parts architect, builder, and team leader. The VP of Engineering makes the technical decisions that shape how we build, drives AI adoption across the organization, and is directly responsible for team culture, hiring, and how we scale. This role operates with startup‑level autonomy inside an established business, requiring someone who stays close to the work while building the team and systems around them.
Responsibilities
Own the engineering team: manage daily scrums, lead weekly team meetings, and set direction on priorities, blockers, and technical approach
Define and drive the organization's AI and technology strategy, including platform selection, architecture patterns, and build‑vs‑buy decisions
Design and own AI/ML architecture across cloud platforms (AWS Bedrock, Google Vertex AI), establishing standards for RAG implementations, agent orchestration, and model selection
Contribute directly to production codebases; this is a hands‑on role, not management from a distance
Architect agentic systems using modern patterns: MCP (Model Context Protocol), tool‑use, function calling, and multi‑step orchestration frameworks
Own the full data quality pipeline upstream of RAG: document ingestion architecture, parsing strategies, chunking methodology, and continuous iteration based on retrieval performance
Define and implement observability strategy, evaluation frameworks, production metrics, drift detection, and quality monitoring for deployed AI systems
Own cost optimization: model selection tradeoffs, token economics, usage monitoring, and budget forecasting at enterprise scale
Hire, mentor, and develop engineers; build a high‑performing team culture that balances speed with code quality and system longevity
Establish and refine engineering processes: CI/CD pipelines, git workflow standards, SDLC documentation, code review practices, and onboarding programs
Develop AI‑assisted development workflows and tooling that create a multiplying effect on team productivity
Define guardrails, compliance patterns, and scalability strategies for AI systems handling PHI
Collaborate with Operations, Compliance/Legal, and business stakeholders to identify, prioritize, and deliver AI use cases
Ensure all engineering and AI implementations comply with HIPAA and organizational data governance requirements
Report to the CTO on team performance, technical direction, and strategic roadmap
Skills Required
Proven ability to lead engineering teams while remaining technically hands‑on
Strong architectural thinking with the ability to balance long‑term vision against near‑term delivery needs
Ability to translate complex technical concepts for non‑technical stakeholders and align engineering efforts with business goals
Excellent verbal, written, and interpersonal communication skills
Experience building team culture, establishing engineering processes, and scaling development organizations
Ability to make sound technical decisions with incomplete information and operate autonomously with minimal oversight
Strong problem‑solving skills and comfort working in ambiguous, fast‑moving environments
Ability to identify and drive AI adoption opportunities across teams, creating repeatable frameworks and workflows
Solid time management skills with the ability to multitask and adjust priorities in a fast‑paced environment
Must be proficient with Microsoft Office (intermediate Word, basic Excel)
Education/Experience
Required: Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, or related field; or equivalent practical experience
7+ years in software engineering with progressive technical leadership
3+ years in engineering management, including direct team leadership, hiring, and performance management
Demonstrated experience in architecting and deploying AI/ML systems in production environments
Track record of building or scaling engineering teams and establishing development processes
Experience designing systems that handle sensitive data with appropriate security and compliance controls
Preferred: Master's degree in Computer Science, AI/ML, or related field
Experience in HIPAA‑regulated environments
Insurance, healthcare payer, or healthshare industry experience
Experience operating in a startup or startup‑like environment within a larger organization
History of driving AI adoption and building AI‑augmented development workflows across teams
Technical Knowledge
Required: Deep expertise in AWS Bedrock and/or Google Vertex AI
Proficiency with large language models (Claude, GPT, Gemini) and their APIs
Hands‑on experience building RAG systems end‑to‑end — including document ingestion, parsing, chunking strategies, embedding models, vector databases, and retrieval optimization
Experience with vector databases (Pinecone, pgvector, or similar)
Strong background in prompt engineering, context engineering, and LLM integration patterns
Hands‑on experience with agentic patterns: MCP (Model Context Protocol), tool‑use/function calling, ReAct, Plan‑and‑Execute, or similar approaches
Experience with orchestration frameworks (LangGraph, LangChain, or similar)
Proficiency in Python and/or TypeScript for AI/ML development
Experience in architecting and maintaining CI/CD pipelines and development automation
Preferred: Experience with LLM Ops tooling (LangSmith, Weights & Biases, Arize, Helicone, or similar)
Familiarity with HIPAA compliance frameworks and PHI data handling requirements
Experience with Salesforce development (Apex, LWC) is a plus
Knowledge of data governance and lineage tracking
Experience with AI observability and evaluation systems
What We Offer
Competitive salary and benefits package
Dynamic and innovative work environment
Opportunities for professional growth and development
Remote work flexibility
Equal Opportunity Statement
We are deeply committed to building a workplace and global community where inclusion is not only valued but prioritized. We are proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro diversity, disability, age or veteran status, or any other non‑merit‑based or legally protected grounds. We are committed to providing reasonable accommodation to qualified individuals with disabilities in the employment application process.
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