1 day ago
Bengaluru, IndiaSenior
Responsibilities
- Create target-state and solution architecture for enterprise AI use cases.
- Define and review reusable architecture patterns for LLM applications, RAG, AI agents, workflow automation, and model consumption.
- Partner with cybersecurity, privacy, data, platform, and governance teams on secure, compliant solutions.
- Assess technology and vendor options, identify risks, document decisions, and guide architecture governance.
- Support technical discovery, design reviews, implementation planning, and enterprise AI architecture standards.
Requirements
- University or college education in Computer Science, Engineering, Data/Analytics, Business/Technology, Risk/Governance, or a related field, or equivalent experience.
- Experience in solution architecture, application architecture, cloud architecture, or enterprise technology design.
- Strong understanding of Azure, APIs, integration patterns, identity, data platforms, application security, and operational readiness.
- Working knowledge of LLM-enabled applications, RAG, AI agents, model risk, AI governance, and responsible AI controls is preferred.
- Ability to produce clear architecture artifacts and communicate design trade-offs to technical and business audiences.
- Strong stakeholder management, facilitation, documentation, and decision-making skills.
Benefits
- Flexible work environment.
- Fluid career paths and support for internal mobility.
- Emphasis on purpose, well-being, and work-life balance.
- Welcoming and inclusive workplace with volunteer opportunities.
Tech Stack
Categories
Solutions Engineering
