Senior AI Engineer

gsknch; Bengaluru; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Haleon in Bengaluru is seeking a Senior AI Engineer to design, build and operationalise secure, production-grade AI agents, Copilot extensions and reusable enterprise capabilities. The role combines deep AI development with architectural leadership, owning solution integrity from exploration to deployment and governance.

You will lead end-to-end solution design, work with product owners, data owners and risk stakeholders, and ensure scalable, auditable and compliant AI solutions in a fast-moving

Qualifications

• Essential: Agentic AI architecture, orchestration and multi-step workflow design.
• Essential: Microsoft Foundry Agent Service and SDK‑based development.
• Essential: Microsoft Copilot Studio, Power Platform environments, solutions and ALM.
• Essential: Microsoft 365 Copilot extensibility, including agents, skills, plugins, connectors, MCP and APIs.
• Essential: Python and TypeScript/.NET engineering for production services and integrations.
• Essential: API, event, workflow and integration architecture, including Azure API Management, Functions and Logic Apps where appropriate.
• Essential: Enterprise grounding, RAG, vector search, semantic models and governed data products.
• Essential: Microsoft Entra identity, OAuth and managed identities, RBAC and least privilege.
• Essential: GitHub, Azure DevOps CI/CD, infrastructure or configuration automation and release engineering.
• Essential: AI evaluation, prompt and tool testing, observability, OpenTelemetry and Application Insights.
• Essential: Threat modelling, secure development, privacy, Microsoft Purview and Responsible AI.
• Essential: Experience designing and delivering enterprise AI, data, cloud or automation solutions into production, with strong evidence of hands‑on software engineering.

Responsibilities

• Work with product owners, business SMEs, data owners and risk stakeholders to translate business processes and user needs into technically viable agentic solutions , defining measurable outcomes, acceptance criteria, non-functional requirements and operational constraints.
• Input into the end-to-end solution architecture for assigned agents and Copilot solutions, including secure grounding and retrieval, identity, authentication, authorisation, least-privilege access, reliability, scalability, maintainability, cost control, data residency, observability, rollback and supportability.
• Personally design and write production-quality code , configurations, prompts, agent instructions, tools, APIs, connectors, MCP services and automation using Microsoft Foundry, Copilot Studio, Microsoft 365 Copilot extensibility, Microsoft Graph and Copilot APIs, Azure integration services and Power Platform.
• Create reusable components , skills, plugins, tool definitions, prompt templates, evaluation assets, connectors, deployment modules and reference implementations, integrating with governed enterprise data and semantic layers.
• Define and execute testing and evaluation across unit, component, integration, regression, grounding, adversarial, performance, accessibility, security and compliance requirements, and provide evidence-based technical recommendations for go-live.
• Deploy solutions through controlled development, test and production environments ; configure telemetry, traces, dashboards, alerts, auditability and production runbooks; and lead diagnosis and remediation of complex production incidents.
• Conduct code, prompt, integration and design reviews for other engineers, coach colleagues, and feed production learning into reusable standards and engineering guidance.

Job description

About the role

Welcome to Haleon. We're a purpose-driven, world-class consumer company putting everyday health in the hands of millions. In just three years since our launch, we've grown, evolved and are now entering an exciting new chapter - one filled with bold ambitions and enormous opportunity.

Our trusted portfolio of brands - including Sensodyne®, Panadol®, Advil®, Voltaren®, Theraflu®, Otrivin®, and Centrum® - lead in resilient and growing categories. What sets us apart is our unique blend of deep human understanding and trusted science.

Now it's time to fully realise the full potential of our business and our people. We do this through our Win as One strategy. It puts our purpose - to deliver better everyday health with humanity - at the heart of everything we do. It unites us, inspires us, and challenges us to be better every day, driven by our agile, performance-focused culture.

The Senior AI Engineer is a hands-on senior engineering role in the Data and AI Office, reporting to the Head of AI Engineering. The role designs, builds and operationalises secure, production-grade AI agents, Copilot extensions and reusable enterprise capabilities. The role combines the depth of an experienced AI developer with the breadth and judgement of a lead engineer and solution architect. It owns solution-level technical integrity from initial use-case exploration through architecture, development, evaluation, deployment, monitoring and continuous improvement. The role will help Haleon move from isolated AI applications towards reusable skills, plugins, MCP-enabled integrations, governed data and semantic grounding, and repeatable engineering patterns that can support multiple functions, markets and use cases.

Key responsibilities

• Work with product owners, business SMEs, data owners and risk stakeholders to translate business processes and user needs into technically viable agentic solutions , defining measurable outcomes, acceptance criteria, non-functional requirements and operational constraints.
• Input into the end-to-end solution architecture for assigned agents and Copilot solutions, including secure grounding and retrieval, identity, authentication, authorisation, least-privilege access, reliability, scalability, maintainability, cost control, data residency, observability, rollback and supportability.
• Personally design and write production-quality code , configurations, prompts, agent instructions, tools, APIs, connectors, MCP services and automation using Microsoft Foundry, Copilot Studio, Microsoft 365 Copilot extensibility, Microsoft Graph and Copilot APIs, Azure integration services and Power Platform.
• Create reusable components , skills, plugins, tool definitions, prompt templates, evaluation assets, connectors, deployment modules and reference implementations, integrating with governed enterprise data and semantic layers.
• Define and execute testing and evaluation across unit, component, integration, regression, grounding, adversarial, performance, accessibility, security and compliance requirements, and provide evidence-based technical recommendations for go-live.
• Deploy solutions through controlled development, test and production environments ; configure telemetry, traces, dashboards, alerts, auditability and production runbooks; and lead diagnosis and remediation of complex production incidents.
• Conduct code, prompt, integration and design reviews for other engineers, coach colleagues, and feed production learning into reusable standards and engineering guidance.

Qualifications and skills

Essential

• Agentic AI architecture, orchestration and multi-step workflow design.
• Microsoft Foundry Agent Service and SDK‑based development.
• Microsoft Copilot Studio, Power Platform environments, solutions and ALM.
• Microsoft 365 Copilot extensibility, including agents, skills, plugins, connectors, MCP and APIs.
• Python and TypeScript/.NET engineering for production services and integrations.
• API, event, workflow and integration architecture, including Azure API Management, Functions and Logic Apps where appropriate.
• Enterprise grounding, RAG, vector search, semantic models and governed data products.
• Microsoft Entra identity, OAuth and managed identities, RBAC and least privilege.
• GitHub, Azure DevOps CI/CD, infrastructure or configuration automation and release engineering.
• AI evaluation, prompt and tool testing, observability, OpenTelemetry and Application Insights.
• Threat modelling, secure development, privacy, Microsoft Purview and Responsible AI.
• Experience designing and delivering enterprise AI, data, cloud or automation solutions into production, with strong evidence of hands‑on software engineering.

Preferred

• Experience owning technical delivery across requirements, design, build, testing, go‑live and live operations, including integration with enterprise data, APIs, identity and security controls.
• Experience operating in a regulated, privacy-sensitive or sim