Staff Solution Support Enginner
GSK (company site, opens in a new tab)16+ yrsBengaluruOn-siteDirect career pageEst. 60–95 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead and standardize architectural integration patterns for the Enterprise AI portfolio to reduce cost and risk at scale.
- Direct production operations and intelligent operations (monitoring, automation, AIOps) for Enterprise AI services, focusing on reliability, SLAs, and cost optimization.
- Build and develop the Solutions Engineering team with clear standards, mentoring, and strategic engagement with senior leadership on AI integration architecture.
Minimum Requirements
- 16+ years in enterprise solution architecture or engineering with leadership experience in solutions engineering or architecture functions.
- Hands-on experience building and deploying production AI/ML or LLM-based systems; proficient in coding/debugging Python.
- Deep expertise in enterprise integration patterns (APIs, event-driven architectures) and cloud-native deployment practices (CI/CD, containers, infrastructure as code).
- Experience in product lifecycle management for AI/technology products, production operations accountability (KTLO, SLA/SLO, incident management), and managing strategic suppliers.
Ideal Candidate Profile
- Experienced leader capable of scaling AI portfolio integrations with reusable standards and operational excellence.
- Strategic operator comfortable engaging with executive leadership and managing both technical teams and supplier/vendor relationships.
- Background in regulated enterprises (pharma, healthcare, financial services) with proven ability to improve AI product lifecycle governance and operational cost efficiency.