Join Optum, a global leader in healthcare technology, and contribute to improving millions of lives through advanced AI-enabled solutions. This role offers a dynamic culture, talented colleagues, and extensive growth opportunities as we advance health optimization worldwide. Be a part of an organization dedicated to Caring, Connecting, and Growing together.

This position is focused on leading the architecture, design, and development of enterprise-scale AI applications. You will drive the entire lifecycle of AI solutions, ensuring seamless integration and scalability. Your leadership will extend to mentoring junior engineers and fostering innovation within the team.

We are seeking a visionary engineer to architect and maintain robust backend services using Python frameworks like FastAPI and Django, emphasizing security and performance. Simultaneously, you will build intuitive front-end interfaces with React.js and design secure, cloud-native solutions on GCP or Azure. Modernizing existing systems and migrating to microservices and cloud platforms will be key responsibilities.

Lead the architecture, design, and development of enterprise-scale, AI-enabled applications. Drive the end-to-end lifecycle of AI solutions, ensuring seamless integration and scalability. Provide technical leadership, guiding architecture, design decisions, and engineering best practices. Create comprehensive design documentation and architectural diagrams. Mentor and coach junior engineers, fostering a culture of learning and innovation. Architect and maintain robust backend services using Python (FastAPI, Django), focusing on security and performance. Build intuitive, accessible, and responsive front-end interfaces using React.js. Design and implement secure, cloud-native solutions on GCP or Azure, using containerization and serverless architectures. Evaluate existing systems and lead modernization efforts, including migration to microservices and cloud platforms. Collaborate with stakeholders to translate complex business needs into scalable technical solutions. Facilitate technical design walkthroughs and architecture reviews. Define and execute comprehensive testing strategies. Take ownership of complex issues, driving resolution through root cause analysis. Initiate and drive technical improvements independently. Lead incident response and production support efforts. Champion Agile and DevOps practices, ensuring efficient CI/CD pipelines. Stay ahead of emerging AI technologies and industry trends. Drive innovation by exploring and piloting new tools and methodologies.

Requires a minimum of 9 years in software development, with at least 4 years dedicated to AI engineering and cloud-based solution delivery. Extensive full-stack development experience (6+ years) with React.js and RESTful APIs is essential. Proficiency in cloud deployment on GCP or Azure (4+ years), including Kubernetes and serverless functions, is required. A strong background in DevOps and CI/CD practices (4+ years), utilizing tools like Jenkins, GitHub Actions, and Terraform, is also necessary.

Proven leadership experience in mentoring engineers and guiding cross-functional technical initiatives is crucial. Experience with event-driven architecture (Kafka, Redis) and real-time data processing is expected. Familiarity with AI techniques such as NLP, computer vision, LLMs, and MLOps practices is highly valued. Building AI agents or copilots using frameworks like Google ADK, LangChain, and OpenAI SDK is a significant plus.

Candidates must possess solid understanding of microservices, service-oriented architecture, and API gateway patterns. Proficiency in RDBMS and NoSQL databases (MySQL, SQL Server) is required. Demonstrable expertise in backend development using Python, including frameworks like FastAPI, Django, or Flask, is mandatory. Experience with AI-based technologies, including building intelligent agents and copilots using AI Agentic frameworks, is essential. Excellent communication, presentation, and stakeholder engagement skills are vital for success in this role. Experience leveraging coding assistants like GitHub Copilot to enhance productivity is desirable.