Principal Cloud Platform Architect - Remote

UnitedHealth Group•Eden Prairie, MN

1d•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and visionary Principal Cloud Platform Architect to lead the design, development, and optimization of our AI first healthcare cloud platform in Google. This role is pivotal in driving innovation, ensuring scalability, and embedding secure, compliant, and intelligence driven capabilities throughout the platform. Leveraging an AI Development Life Cycle (AI DLC) approach, this leader will champion the adoption of AI enabled services and automation patterns that address the unique challenges of the healthcare industry. The ideal candidate will have deep expertise in cloud platform architecture, a strong understanding of healthcare technology standards, and a passion for transforming healthcare delivery through cutting edge cloud and AI technologies. They will bring an AI first mentality to platform design—ensuring that data, models, automation, and responsible AI practices are foundational components across all cloud solutions. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

10+ years of experience in IT architecture and engineering
5+ years focused on cloud platforms
Proven expertise in designing and implementing cloud solutions in Google Cloud
Experience with Infrastructure as Code (IaC) tools such as Terraform
Proficiency in containerization and orchestration technologies (e.g., Docker, Kubernetes)
Extensive knowledge of networking, databases, and cybersecurity in a cloud environment
Expert understanding of GCP Native Infrastructure, such as Networking and IAM

Nice To Haves

Hands-on experience implementing responsible AI practices and ensuring compliance with healthcare regulations in AI-driven solutions
Ability to design and integrate AI pipelines leveraging GCP data services (BigQuery, Pub/Sub, Dataflow) to support scalable ML workflows
Expertise using GCP-native AI tools including Document AI, BigQuery ML, AutoML, and Generative AI Studio
Experience with Google Cloud AI/ML services such as Vertex AI for model training, tuning, and deployment
Experience with AI/ML and big data platforms in healthcare
Certifications such as AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Google Professional Cloud Architect
Solid analytical, problem-solving, and decision-making skills
Excellent communication and stakeholder management abilities
Solid understanding of healthcare technology standards and regulations (e.g., HL7, FHIR, HIPAA)

Responsibilities

Strategic Cloud Architecture Design: Develop and maintain the overall architecture for cloud-based solutions that align organizational goals and industry best practices in healthcare
Healthcare Compliance and Security: Ensure all cloud solutions meet healthcare compliance standards (e.g., HIPAA, HiTrust, FedRAMP) and adhere to strict security protocols
Platform Optimization: Drive the optimization of cloud infrastructure for performance, cost-efficiency, and high availability to support critical healthcare applications
Technology Leadership: Stay ahead of emerging trends in cloud computing, healthcare technologies, and industry regulations to recommend innovative solutions
Collaboration: Partner with engineering, DevOps, data science, security, and product teams to design and deploy robust solutions supporting healthcare data workflows and analytics
Disaster Recovery and Resilience: Design and implement disaster recovery plans and fault-tolerant systems to minimize downtime in mission-critical healthcare operations
Automation and Scalability: Leverage automation tools to streamline infrastructure management and enable rapid scaling of cloud resources
Vendor and Partner Management: Collaborate with Google Cloud and third-party vendors to ensure successful implementation of cloud strategies
Mentorship and Training: Provide guidance and mentorship to engineering teams, fostering a culture of continuous learning and technical excellence