# Staff Solution Support Enginner at GSK

GSK is hiring a Staff Solution Support Enginner. Level rates it Works on AI ●●●○; you can [apply on GSK](https://jobsbylevel.com/go/7dce2436-43f7-46db-96bc-85b2101986a7?utm_medium=ai-agent).

AI Level 3, AI centrality 68 out of 100. Bengaluru Luxor North Tower.

## Details

- Company: [GSK](https://jobsbylevel.com/companies/gsk)
- AI level: AI Level 3 (score 68 out of 100)
- Location: Bengaluru Luxor North Tower
- Posted: October 27, 2026
- Apply: https://jobsbylevel.com/go/7dce2436-43f7-46db-96bc-85b2101986a7?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=staff-solution-support-enginner-at-gsk-dfd338

## Prepare for this job

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## Description

Job Purpose : As the Enterprise AI portfolio scales, the complexity of integration and operations grows faster than individual Senior Solutions Engineers can absorb. A Staff-level leader is needed to: Raise the architectural ceiling across the portfolio by converting individual engagement experience into reusable patterns and standards that reduce cost and risk at scale. Lead the most novel and precedent-setting integrations — those involving architectural territory the function has not navigated before — and stay close enough to the code to make authoritative engineering decisions. Establish Product Lifecycle Management (PLM) for Enterprise AI, so every AI product and model is governed consistently from ideation through scale, operation, and retirement. Deliver Intelligent Operations for the Enterprise AI organization, using monitoring, automation, and AI-driven tooling to run the portfolio with fewer incidents, faster recovery, and lower cost to serve. Own production operations for Enterprise AI — KTLO, SLA and service-metric commitments, and strategic supplier delivery — while engineering automation that shrinks the operational burden as the portfolio grows. Direct a fleet of AI agents and Senior Engineers to continuously improve the cost at which value is delivered, and recognise when solutions must be refactored or optimised as deployments scale. Build and develop the Solutions Engineering team, creating a function that grows in capability alongside the AI portfolio. Represent EAI's integration architecture with senior GSK technology and enterprise architecture leadership, building institutional credibility and accelerating complex approvals. Responsibilities: Lead the Solutions Engineering function — strategy, team structure, hiring, development, and standards. Hire, mentor, and develop Senior Solutions Engineers, building clear development paths with active coaching and regular feedback. Set the architectural and AI engineering standards and integration patterns the whole function operates to, ensuring consistency and quality across all engagements. Build and maintain a culture of rigorous documentation, code quality, and knowledge sharing within the SE function. Required skills: 16+ years in enterprise solution architecture, technical engineering, or equivalent, with significant time leading solutions engineering or architecture functions. Recent, hands-on AI engineering experience: you have personally built and deployed production AI/ML or LLM-based systems (for example RAG, agentic workflows, model serving, evaluation pipelines) and can write, review, and debug code in languages such as Python. Experience directing teams of engineers and AI agents (agentic engineering and operations workflows) to deliver at lower cost, with the ability to measure and improve cost against delivered value. Deep expertise in enterprise integration patterns — APIs, event-driven architectures, data exchange standards — with a track record of standardising at portfolio scale. Practical experience with MLOps/LLMOps and cloud-native deployment (CI/CD, containers, infrastructure as code, observability) sufficient to make authoritative decisions about deployment, integration, and operability at scale. Experience designing or operating Product Lifecycle Management (PLM) or equivalent lifecycle governance for technology, data, or AI products, including stage gates, versioning, change control, and retirement. Demonstrated ability to deliver intelligent operations: building monitoring, automation, and AIOps capabilities that improve reliability, reduce operational toil, and control cost for production platforms or AI services. Experience owning production operations and support for enterprise platforms or AI services, including KTLO, SLA/SLO and service-metric accountability, incident and problem management, and on-call and escalation models. Track record of recognising when systems must be refactored or optimised as they scale, and leading that

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Level. https://jobsbylevel.com/jobs/staff-solution-support-enginner-at-gsk-dfd338.

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