Lead AI Software Engineer

Collective Health is seeking a highly skilled and experienced Lead AI Software Engineer to join our growing team. In this pivotal role, you'll not only contribute to the technical vision and execution of our core platform but also significantly drive the integration and advancement of our applied AI capabilities. You'll work across the entire stack, from sophisticated user interfaces to robust backend services, ensuring the delivery of solutions that directly enhance how our members experience and interact with their healthcare benefits.

This is an exciting opportunity for a seasoned engineer who is passionate about building scalable, high-performance applications, has a keen interest in leveraging cutting-edge AI technologies like Google Gemini and Vertex AI to solve complex real-world problems in healthcare, and enjoys mentoring and leading other engineers.

What You'll Do

• Lead the technical design, development, and maintenance of highly scalable and performant applications using React for the front-end and Python for the back-end.
• Champion the strategic use of Google Cloud Platform (GCP) services, optimizing for cost, performance, and reliability across our data storage, processing, and deployment pipelines.
• Lead our applied AI initiatives, collaborating closely with Engineering, Product and Business stakeholders to integrate advanced AI models into our products and services. This will include:
• Implementing and leveraging Google Gemini for enhanced conversational AI, content summarization, or intelligent search within our platform.
• Exploring and integrating other relevant Google Cloud AI services (e.g., Natural Language API, Vision AI) to extract insights from healthcare data and automate processes.
• Shaping the technical roadmap for AI-driven features and ensuring responsible AI development and deployment in a healthcare context.
• Mentor and guide junior to mid-level engineers, fostering a culture of technical excellence, continuous learning, and collaborative problem-solving within the team.
• Act as a subject matter expert, providing technical guidance and thought leadership to the team and broader organization on AI capabilities.
• Collaborate with cross-functional partners, including Product Managers, Designers, Data Scientists, Analytics teams, and various Business Stakeholders. 
• Contribute to all phases of the software development lifecycle, from initial concept and requirements gathering to design, implementation, testing, deployment, and ongoing maintenance.
• Proactively identify and resolve complex technical challenges and production issues, driving continuous improvement.
• Stay ahead of emerging technologies and industry trends, particularly in AI technologies cloud computing.

What You'll Bring

• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
• 8+ years of experience in software development, with a significant track record of delivering complex, scalable systems.
• Proven leadership experience (formal or informal), including mentoring engineers, leading technical initiatives, and driving best practices.
• Deep Expertise in Python developing robust web services.
• Experience in React and modern JavaScript (ES6+).
• Extensive hands-on experience designing, developing, and deploying robust applications on Google Cloud Platform (GCP) (e.g., App Engine, Cloud Run, BigQuery, Cloud SQL, Kubernetes Engine).
• Demonstrated experience or strong desire to work with Google Cloud's AI services.
• Strong experience building and integrating with complex APIs (RESTful and GraphQL).
• Proficiency with relational and NoSQL database technologies (e.g., PostgreSQL, MongoDB, Redis).
• A strong understanding of software architecture patterns, design principles, and scalable system design.
• Expertise in software development best practices, including agile methodologies, version control (Git), and advanced CI/CD pipelines.
• Exceptional interpersonal and communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences, including product, design, and business stakeholders.
• A passion for leveraging technology and artificial intelligence AI to solve complex healthcare problems and significantly improve user experiences.

Nice to have

• Direct experience with machine learning operations (MLOps) and integrating AI models into production systems.
• Prior experience working in the healthcare technology space with an understanding of HIPAA and healthcare data compliance.
• Familiarity with other cloud platforms (AWS, Azure) is a plus.
• Contributions to open-source projects or a strong portfolio of personal projects.
• Experience with stream processing technologies (e.g., Kafka).

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 equity. In addition to the salary, you will be eligible for stock options and benefits like health insurance, 401k, and paid time off. Learn more about our benefits at https://jobs.collectivehealth.com/benefits/.

Client-provided location(s): Plano, TX, Lehi, UT

Job ID: 7088349

Employment Type: OTHER

Posted: 2025-08-01T11:31:59