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Lead Full Stack Engineer, Applied AI
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Lead Full Stack Engineer, Applied AI
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Jobright.ai Collective Health is transforming how employers and their people engage with their health benefits through technology and user experience design. They are seeking a Lead Full Stack Engineer to contribute to their core platform and drive the integration of applied AI capabilities, working across the full stack and mentoring other engineers. Responsibilities: Lead the technical design, development, and maintenance of highly scalable and performant full-stack applications using React for the front-end and Java 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 Drive the architectural evolution and best practices for our Zendesk applications, enhancing our member and client support experiences, potentially integrating AI for improved automation and intelligence 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 full-stack development and applied AI Collaborate extensively with cross-functional partners, including Product Managers, Designers, Data Scientists, Analytics teams, and various Business Stakeholders You'll translate business requirements into technical specifications, provide technical insights during ideation, and ensure technical solutions align with product vision and user needs Contribute to all phases of the software development lifecycle, from initial concept and requirements gathering to design, implementation, testing, deployment, and ongoing maintenance Ensure the highest standards of code quality, performance, and security through rigorous code reviews, automated testing, and adherence to architectural principles, especially concerning sensitive healthcare data (HIPAA compliance) Proactively identify and resolve complex technical challenges and production issues, driving continuous improvement Stay ahead of emerging technologies and industry trends, particularly in full-stack development, cloud computing, and artificial intelligence, and advocate for their strategic adoption Qualifications: Required: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 7+ years of experience in full-stack 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. Expertise in Java and extensive experience with Spring Boot or similar enterprise frameworks. 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). Demonstrated experience developing and optimizing Zendesk applications. 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 to solve complex healthcare problems and significantly improve user experiences. Preferred: 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). Company: Collective Health is a modern TPA integrating plan admin, navigation and advocacy to deliver a better health benefits experience for all. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 501-1000 employees. The company is currently Late Stage. Collective Health has a track record of offering H1B sponsorships. Seniority level
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Lead Full Stack Engineer, Applied AI
role at
Jobright.ai 1 day ago Be among the first 25 applicants Join to apply for the
Lead Full Stack Engineer, Applied AI
role at
Jobright.ai Collective Health is transforming how employers and their people engage with their health benefits through technology and user experience design. They are seeking a Lead Full Stack Engineer to contribute to their core platform and drive the integration of applied AI capabilities, working across the full stack and mentoring other engineers. Responsibilities: Lead the technical design, development, and maintenance of highly scalable and performant full-stack applications using React for the front-end and Java 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 Drive the architectural evolution and best practices for our Zendesk applications, enhancing our member and client support experiences, potentially integrating AI for improved automation and intelligence 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 full-stack development and applied AI Collaborate extensively with cross-functional partners, including Product Managers, Designers, Data Scientists, Analytics teams, and various Business Stakeholders You'll translate business requirements into technical specifications, provide technical insights during ideation, and ensure technical solutions align with product vision and user needs Contribute to all phases of the software development lifecycle, from initial concept and requirements gathering to design, implementation, testing, deployment, and ongoing maintenance Ensure the highest standards of code quality, performance, and security through rigorous code reviews, automated testing, and adherence to architectural principles, especially concerning sensitive healthcare data (HIPAA compliance) Proactively identify and resolve complex technical challenges and production issues, driving continuous improvement Stay ahead of emerging technologies and industry trends, particularly in full-stack development, cloud computing, and artificial intelligence, and advocate for their strategic adoption Qualifications: Required: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. 7+ years of experience in full-stack 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. Expertise in Java and extensive experience with Spring Boot or similar enterprise frameworks. 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). Demonstrated experience developing and optimizing Zendesk applications. 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 to solve complex healthcare problems and significantly improve user experiences. Preferred: 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). Company: Collective Health is a modern TPA integrating plan admin, navigation and advocacy to deliver a better health benefits experience for all. Founded in 2013, the company is headquartered in San Francisco, California, USA, with a team of 501-1000 employees. The company is currently Late Stage. Collective Health has a track record of offering H1B sponsorships. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Full-time Job function
Industries
Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Full Stack Engineer jobs in
Lehi, UT . Lehi, UT $93,200.00-$170,600.00 6 days ago Lehi, UT $113,400.00-$206,300.00 5 days ago Salt Lake City Metropolitan Area 3 months ago Orem, UT $90,000.00-$120,000.00 2 weeks ago Lehi, UT $113,400.00-$206,300.00 1 week ago West Valley City, UT $75,000.00-$95,000.00 3 weeks ago Lehi, UT $93,200.00-$170,600.00 1 week ago Lehi, UT $113,400.00-$206,300.00 1 day ago Lehi, UT $113,400.00-$206,300.00 1 day ago Frontend Software Engineer (Entry Level)
Lehi, UT $93,200.00-$170,600.00 1 week ago Software Engineer Intern - NASA Grant (Lehi, UT)
Salt Lake City Metropolitan Area 6 days ago Lehi, UT $133,900.00-$242,000.00 1 week ago Salt Lake City Metropolitan Area 3 months ago Lehi, UT $113,400.00-$206,300.00 1 week ago Draper, UT $127,100.00-$203,400.00 1 week ago Pleasant Grove, UT $120,000.00-$180,000.00 1 week ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr