# Staff Solutions Engineer

**Company**: GSK
**Location**: Bengaluru
**Experience**: staff
**Job type**: full-time
**Category**: Engineering
**Industry**: Healthcare

**Apply**: https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Staff-Solution-Support-Enginner_450447?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_2112988e-be6

## Description

GSK's Enterprise AI team is building an integration and operations capability that turns AI potential into enterprise-grade, production-ready deployment. The Staff Solutions Engineer leads the Solutions Engineering function , the architectural and engineering backbone that bridges AI capability and enterprise systems at scale, and keeps AI products healthy, governed, and improving after go-live.

As the Staff Support Solutions Engineer, you will lead the Solutions Engineering function within Enterprise AI, setting the architectural strategy, developing the team, and personally leading the highest-stakes integration programmes. This is a hands-on technical leadership role: you will design, build, and review AI systems yourself , including LLM, agentic, and retrieval-based solutions , and set the engineering bar for the function.

You will also own the vision for Intelligent Operations in Enterprise AI: the observability, automation, and AI-assisted operating model that lets a growing portfolio of AI products run reliably, safely, and cost-effectively at scale.

The role carries direct accountability for production. Expect to spend roughly 40% of your time owning production operations and support , keeping the lights on (KTLO), meeting SLAs and service metrics, and managing strategic supplier delivery , and roughly 60% on engineering, with a deliberate focus on using that engineering to automate operations and steadily reduce the operational load.

**Key Responsibilities:**

**Function Leadership & Team Development:**

- 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.

**Hands-On AI and Product Engineering:**

- Dedicate the majority of your time to engineering, with a primary focus on building automation, tooling, and AI-assisted capabilities that reduce manual operations and improve reliability of the production portfolio.

- Personally design, build, and ship production AI solutions , including LLM-based applications, agentic workflows, retrieval-augmented generation (RAG), and ML model serving , integrated with GSK enterprise systems.

**Portfolio Architecture & Standards:**

- Own the architectural strategy for AI integration across the Enterprise AI portfolio , defining where the function is heading and what standards it operates to.

- Define and maintain canonical integration patterns, architecture decision records, and design standards that enable faster, lower-risk delivery across all engagements.

**Product Lifecycle Management (PLM) for Enterprise AI:**

- Establish stage gates and release criteria , covering evaluation results, security, data privacy, regulatory and quality requirements , that balance speed with enterprise and regulatory risk.

- Maintain a portfolio-level inventory of AI products, models, versions, dependencies, owners, and lifecycle status, with clear processes for change management, deprecation, and retirement.

**Intelligent Operations for Enterprise AI:**

- Design and deliver the Intelligent Operations model for the Enterprise AI organisation: end-to-end observability, automated incident detection and response, and continuous improvement of deployed AI products.

**Intelligent Operations & Support:**

- Own production operation and support for Enterprise AI products and integrations, including KTLO (keep-the-lights-on) activities such as patching, upgrades, dependency and certificate management, capacity, and break-fix.

**Agent-Led Delivery, Cost-to-Value & Solution Evolution:**

- Direct a fleet of AI agents and Senior Solutions Engineers , setting objectives, guardrails, and review standards , to continuously improve the cost at which value is delivered across the Enterprise AI portfolio.

**Strategic Delivery:**

- Take personal ownership of the highest-stakes integrations , those that set precedents for the function, involve novel architectural territory, or carry significant enterprise risk.

**Cross-Functional Influence & Partner Engagement:**

- Represent the Solutions Engineering function in Enterprise AI leadership forums, shaping cross-function delivery standards and platform strategy.

## Skills

### Required
- LLM
- agentic
- retrieval-based solutions
- AI systems
- Python
- ML model serving

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Source: [Apply at gsk.wd5.myworkdayjobs.com](https://gsk.wd5.myworkdayjobs.com/en-US/GSKCareers/job/Bengaluru-Luxor-North-Tower/Staff-Solution-Support-Enginner_450447?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)