Overview
Senior Specialist in Enterprise Architecture on the Solution Architecture team, providing technical solutions to domain businesses, products and services, with a focus on cloud infrastructure and enterprise GenAI architecture.
What you'll do
- Understand business requirements and come up with technical solutions in the form of digital products or services.
- Assess conceptual designs and explain proposed solutions.
- Enforce policies, processes, and frameworks that guide the development, deployment, and maintenance of technology within the business.
- Present ideas and projects to business stakeholders, explain proposed architecture solutions, present findings, and explain why a product may not fit business needs.
- Oversee the hiring and training of team members to equip them with the skills and knowledge needed to deliver the team's strategic goals.
- Work closely with stakeholders, such as product managers, designers, and quality assurance professionals, to ensure project alignment with business goals.
- Ensure continuous business improvement according to benchmarks and standards, and make decisions related to technology choices, design/architectural considerations, and implementation strategy.
- Drive projects forward when setbacks occur.
- Foster a culture of innovation and continuous improvement, encouraging team members to explore new ideas and technologies.
- Identify and mitigate technical risks.
- Contribute technical architecture oversight to project timelines and budgets, and ensure design and technology alignment meet technical governance standards.
- Standardize patterns to enable scale, stability, and consistency.
What you'll need
- Bachelor's degree in computer science or a STEM major (Science, Technology, Engineering, and Math).
- Minimum of 8 years' experience designing cloud infrastructure with commercial/enterprise products.
- At least 1 year spent implementing GenAI technologies such as AWS Bedrock and AgentCore.
- Experience designing and deploying Enterprise GenAI Architecture, with expertise in LLM and GenAI Fundamentals.
- Expertise in RAG (Retrieval Augmented Generation).
- Expertise in Agentic AI Security and Governance.
- Expertise in Cloud Platforms AI offerings (AWS preferred, Azure).
- Technical knowledge of Cloud Compute, Networking, Cybersecurity, Container Engines, Database, Storage, and CI/CD.
- Strong communication skills to interact effectively with stakeholders, team members, and other departments.
- Ability to address and resolve technical and managerial challenges.
Details
- Location: Bangalore, Karnataka, India (Neon Building West Tower).
- Flexible working patterns where applicable: Permissive Leave, Flextime, Remote Work, and Compressed Work Week.
Read the full description and apply on the company’s own careers page.