Staff Solution Support Engineer

GSK; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

GSK in Bengaluru, India seeks a Staff-level leader to scale the Enterprise AI portfolio. You will raise architectural standards, convert patterns for reuse, and drive PLM for AI products from ideation to scale.

You will own production operations (KTLO, SLA) and lead a team of Senior Solutions Engineers toward cost-efficient, reliable AI services. The role requires 16+ years in enterprise architecture with hands-on AI engineering, strong cost management, and governance capabilities, in a

Qualifications

• 16+ years in enterprise solution architecture or equivalent leadership roles.
• Hands-on AI engineering: built and deployed production AI/ML or LLM-based systems; proficient in Python.
• Experience directing teams of engineers and AI agents to deliver value while reducing cost.
• Deep expertise in enterprise integration patterns: APIs, event-driven architectures, data exchange.
• Practical experience with MLOps/LLMOps and cloud-native deployment; ability to govern deployment and operability.

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 coaching and feedback.
• Set architectural and AI engineering standards and integration patterns for the entire function.
• Build a culture of rigorous documentation, code quality, and knowledge sharing within the SE function.

Skills

Enterprise architecture

AI engineering

Python

Solutions leadership

ML Ops

Integration patterns

CI/CD

Cloud deployment

PLM governance

Regulatory compliance

Job 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 work (performance tuning, re-architecture, cost optimisation) in production. Experience managing strategic suppliers or vendors on delivery, including performance reviews, SLA enforcement, escalation, and roadmap alignment. Proven ability to build and develop technical teams: hiring, mentoring, setting standards, and creating clear development paths. Confidence engaging at senior executive level: representing complex integration strategy to GSK technology leadership, enterprise architecture, and senior business stakeholders. Experience operating in a regulated enterprise environment (pharma, healthcare, or financial services preferred).

Preferred skills:

Experience leading a Solutions Engineering or technical architecture function at a company with a complex enterprise integration landscape. Demonstrated track record of building canonical integration patterns adopted at organisational scale. Prior experience in an AI-native company (Anthropic, Palantir, OpenAI, or similar) or equivalent AI-first engineering environment. Experience setting AI engineering standards, responsible AI practices, and architectural governance at an organisational level. Familiarity with ITIL or SRE practices (error budgets, blameless post-incident reviews, change management) applied to AI and data platforms. Familiarity with GxP, computer system validation, or other quality and regulatory frameworks as they apply to AI and software products. Experience with agent frameworks, vector and graph data stores, model evaluation and red-teaming, and AI cost management (FinOps).

#AGTech Skills

AI Platforms, AI Systems, Data Analysis, LLMOps, ML Platforms, MLPs, Product Lifecycle Management (PLM), Product Lifecycle Management (PLM) Systems, Product Roadmapping, Roadmap Development, Statistical Analysis

Why GSK?

Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. Inclusion at GSK: As an employer committed to Inclusion, we encourage you to reach out if you need any adjustments during the recruitment process. Please contact our Recruitment Team at [e-mail] to discuss your needs.

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We are a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years. Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Find out more on our career site.