Solution Architect - Skills & Reusability
Unilever (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end architecture for enterprise AI and agentic solutions ensuring security, scalability, reusability, and cost efficiency.
- Define and govern reference architectures, technical design standards, and evaluation frameworks for generative AI, agent orchestration, and model operations.
- Drive model selection, benchmarking, cost optimization, and promote reuse of enterprise AI patterns across platforms and teams.
Minimum Requirements
- Strong enterprise or solution architecture experience with hands-on expertise in generative and agentic AI architecture.
- Proven experience designing production-grade agentic systems with orchestration, multi-agent patterns, and human-in-the-loop controls.
- Deep knowledge in large language models, retrieval augmented generation, agent integration patterns, and LLMOps including model drift and production monitoring.
- Strong cloud architecture experience with at least one major hyperscaler (e.g., Microsoft Azure, Google Cloud Platform).
Ideal Candidate Profile
- Experienced in technical design authority roles involving architecture decision-making rather than engineering delivery.
- Skilled in balancing native platform capabilities versus custom engineering with a strong focus on security, Responsible AI, and architecture guardrails.
- Capable of translating emerging AI technologies into reusable enterprise architecture patterns and driving adoption across complex global environments.