11 hours ago
Hyderābād, IndiaSenior
Responsibilities
- Architect and deliver scalable, resilient, secure, business-aligned solutions across complex enterprise ecosystems.
- Establish end-to-end solution architectures, non-functional requirements, architecture fitness functions, technology standards, and critical design decisions.
- Lead architecture strategy, roadmaps, reference architectures, integration patterns, API strategies, data models, and governance frameworks.
- Design and guide cloud-native, data engineering, analytics, AI/ML, and generative AI solutions using AWS technologies.
- Lead cross-functional architecture and delivery efforts spanning multiple products, platforms, business domains, and organizational teams.
- Advise business and technology leaders, influence strategic direction, and drive alignment across product, engineering, data, security, operations, and architecture teams.
- Evaluate emerging technologies and modernization approaches while improving reliability, operational efficiency, technical debt, and business value.
- Contribute to enterprise architecture standards, governance processes, and long-term technology strategy.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related field.
- Extensive experience designing and delivering scalable enterprise solutions and leading architecture strategy, modernization, and digital transformation initiatives.
- Demonstrated experience implementing cloud-native, AI/ML, and generative AI solutions in enterprise environments.
- Deep expertise in solution architecture, software engineering, cloud-native application design, distributed systems, and enterprise integration patterns.
- Strong hands-on experience designing and delivering AWS solutions using services including ECS/EKS, Lambda, API Gateway, EventBridge, DynamoDB, RDS, S3, Bedrock, SageMaker, Glue, Redshift, Lake Formation, and EMR.
- Experience with data lakes, data warehouses, streaming architectures, ETL/ELT pipelines, metadata management, data governance, and real-time analytics platforms.
- Experience with microservices, event-driven systems, domain-driven design, API-first development, and modern engineering practices.
- Experience designing AI/ML and generative AI solutions using large language models, retrieval-augmented generation, AI agents, vector databases, prompt engineering, and MLOps.
- Strong understanding of data architecture, integration strategies, security, observability, resilience, performance optimization, and operational excellence.
- Ability to define architecture standards, reference architectures, non-functional requirements, governance frameworks, and technology roadmaps while balancing innovation, risk, compliance, and operational needs.
- Ability to evaluate emerging technologies, AWS services, vendor platforms, and architectural approaches.
- Exceptional communication, presentation, stakeholder management, analytical, problem-solving, mentoring, and consensus-building skills.
Tech Stack
Categories
Solutions Engineering
About Roche
Roche is a Swiss healthcare company that develops and sells prescription pharmaceuticals and in vitro diagnostic systems for hospitals, laboratories, and clinicians. Its business spans two core divisions—Pharmaceuticals and Diagnostics—with strengths in oncology, immunology, neuroscience, infectious diseases, and diabetes care. Founded in 1896 and headquartered in Basel, Switzerland, Roche also advances personalized healthcare by pairing therapies with companion diagnostics.