Senior Solution Support Engineer
GSK (company site, opens in a new tab)15+ yrsBengaluruOn-siteDirect career pageEst. 55–95 LPA
Posted 18h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and deliver complex AI solution architectures integrating with enterprise systems, ensuring production readiness and ongoing operational stability with SLA adherence.
- Develop, build, and operate AI and ML-based solutions hands-on, including LLM, agentic, and retrieval-augmented generation applications, using coding best practices and contributing to architectural standards.
- Lead deployment readiness assessments, support lifecycle governance of AI products, automate operations to reduce toil, and recommend/refactor solutions for scalability and cost-effectiveness.
Minimum Requirements
- 15+ years in enterprise solution architecture, AI or software engineering, or related technical roles with experience designing complex integrations.
- Hands-on experience building and deploying production AI/ML/LLM systems; proficient in Python or similar coding languages.
- Strong knowledge of enterprise integration patterns, APIs, event-driven architecture, MLOps/LLMOps, cloud-native deployment, and production support processes including SLA/SLO management.
- Experience with Product Lifecycle Management (PLM) or equivalent lifecycle governance in regulated environments such as pharma; Work Experience Required: 15+ years.
Ideal Candidate Profile
- Experienced in end-to-end AI product delivery in regulated enterprise environments (pharma preferred), balancing architecture, engineering, and operations.
- Familiar with technical governance, vendor management, and strategic partner engagement related to AI integrations in large enterprises.
- Skilled at using AI and automation tools to optimize operational efficiency and improve AI solution cost-to-value metrics as solutions scale.