Senior AI Engineer
GlaxoSmithKline5 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Translate business processes and user needs into technically viable agentic AI solutions with measurable outcomes, acceptance criteria, and operational constraints.
- Contribute to solution architecture covering grounding, retrieval, identity, authorization, reliability, scalability, cost control, observability, and supportability.
- Design and write production-quality code, configurations, prompts, agent instructions, tools, APIs, connectors, MCP services, and automation.
- Create reusable AI components, skills, plugins, evaluation assets, deployment modules, connectors, and reference implementations using governed enterprise data.
- Define and execute unit, component, integration, regression, grounding, adversarial, performance, accessibility, security, and compliance testing.
- Deploy solutions across development, test, and production environments; configure telemetry, dashboards, alerts, auditability, and runbooks.
- Lead diagnosis and remediation of complex production incidents, conduct technical reviews, coach colleagues, and improve engineering standards.
Requirements
- Hands-on experience with agentic AI architecture, orchestration, and multi-step workflow design.
- Experience with Microsoft Foundry Agent Service and SDK-based development.
- Experience with Microsoft Copilot Studio, Power Platform, Microsoft 365 Copilot extensibility, agents, skills, plugins, connectors, MCP, and APIs.
- Production engineering experience with Python and TypeScript/.NET for services and integrations.
- Knowledge of API, event, workflow, and integration architecture, including Azure API Management, Azure Functions, and Logic Apps.
- Experience with enterprise grounding, retrieval-augmented generation, vector search, semantic models, and governed data products.
- Experience with Microsoft Entra identity, OAuth, managed identities, role-based access control, and least-privilege access.
- Experience with GitHub, Azure DevOps, CI/CD, infrastructure or configuration automation, and release engineering.
- Experience with AI evaluation, prompt and tool testing, observability, OpenTelemetry, and Application Insights.
- Knowledge of threat modelling, secure development, privacy, Microsoft Purview, and Responsible AI.
- Experience delivering enterprise AI, data, cloud, or automation solutions into production with strong hands-on software engineering evidence.
- Preferred qualifications include ownership of technical delivery across requirements through live operations, experience in regulated or privacy-sensitive environments, a degree in computer science, software engineering, or a related discipline or equivalent practical experience, and relevant Microsoft credentials such as AI-103, AB-100, AB-620, AZ-305, PL-400, SC-300, or SC-401.
Benefits
- Inclusive culture with equal-opportunity commitments and support for diverse backgrounds and perspectives.
- Reasonable adjustments and accommodations are available throughout the application process.
- Job posting closes October 31, 2026.
Tech Stack
Categories
About GlaxoSmithKline
GlaxoSmithKline (GSK) develops and manufactures prescription medicines and vaccines for infectious disease, HIV, respiratory, oncology and immunology, selling to healthcare systems and distributors worldwide. The London‑headquartered public company was formed in 2000 from the merger of Glaxo Wellcome and SmithKline Beecham, and in 2022 spun off its consumer health business as Haleon. GSK’s revenue comes primarily from proprietary drug and vaccine sales supported by global R&D and commercial partnerships.