Senior Principal Enterprise Software Architect

Responsibilities may include the following and other duties may be assigned:

• Architect and oversee the design of distributed software systems that seamlessly incorporate AI capabilities.
• Strategize to leverage AI to accelerate product development and spearhead AI adoption across SDLC.
• Lead end-to-end development, from ideation to deployment, ensuring the integration of AI models and services into scalable production environments.
• Collaborate closely with product, engineering, and data science teams to define system architecture and technical roadmaps.
• Guide best practices for cloud-native development and deployment using AWS and related services.
• Champion the adoption of modern frontend and backend technologies (ReactJS, NodeJS) within distributed, AI-powered applications with earlier working experince in Java or . Net.
• Evaluate, design, and implement Agentic AI solutions as a service, focusing on autonomy, orchestration, and real-time decision-making.
• Mentor and coach engineers, fostering a culture of innovation, technical excellence, and continuous improvement.
• Stay at the forefront of AI and distributed computing trends, proactively recommending new technologies and approaches.

• Architecting integration of AI/ML models and services into production workflows.
• Demonstrated experience leading technical teams and influencing product development direction at Senior Principal / Architect level.
• Excellent problem-solving, communication, and interpersonal skills.

Required Knowledge and Experience

18+ years of experience (or ME/MTech), including 10+ years of experience in (high/low-level) customer-facing products architecture and design

• Experience in designing and building distributed and modular architectures (microservices, API-first)
• B. E/BTech. in CS, IT, EC Engineering
• A track record of delivering results even when requirements are under-specified.
• Hands-on experience as full stack developer using ReactJS, JavaScript or Typescript, and modern f frameworks (e. g. , NodeJS, Express. js, Next. js) and Python
• Experience design solutions, RESTful API services (including Open API Spec, Swagger) and performance-tuning large-scale apps
• Ability to lead design and development and mentor junior engineers.
• Past experience in designing and developing solutions for distributed and microservices architecture.
• Deep knowledge of Object-Oriented programing and engineering principles like SOLID
• Hands-on experience with relational databases (e. g. , PostgreSQL , MySQL) and NoSQL databases (e. g. , MongoDB, DynamoDB, Elasticsearch)
• Engineering practice experience such as code refactoring, design patterns, design-driven development, continuous integration, building highly scalable applications, application security
• Strong experience in developing solutions on AWS Platform leveraging AWS services
• Hands-on experience in cloud-native application deployment/debugging (either of AWS. Good to have Azure and GCP)
• Experience implementing DevOps CI/CD tooling (e. g. , Azure DevOps, GitHub, GitLab, CodeDeploy, CircleCI, Jenkins/Travis etc. ), Observability platforms
• Proven expertise in integrating AI/ML models and services into production workflows.
• Knowledge on application security and secure design practices is a must
• Ability to advocate and implement best practices and standard solutions
• Ability to manage own learning and contribute to functional knowledge building
• Ability to work both independently and help other team members
• Ability to influence stakeholders and technical leadership for technology and product development strategy.
• Collaborate with the Product Manager/Owner and the squad to draft quarterly OKRs and engineering KPIs
• Strong oral and written communication skills.

Medtronic offers a competitive Salary and flexible Benefits Package