Agentic AI Engineer

gsknch; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

Haleon in Bengaluru is seeking an Agentic AI Engineer to build and operationalise secure, production‑grade AI agents and Copilot extensions. You will cover the full lifecycle from use‑case exploration to deployment and continuous improvement across functions and markets.

You will collaborate with product owners, data owners and risk stakeholders to deliverGoverned AI capabilities, with a focus on scalable, reusable components and robust testing and deployment practices.

Qualifications

• 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.
• Claude Code and Codex
• 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, managed identities, RBAC and least privilege.
• GitHub or Azure DevOps, CI/CD 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.

Responsibilities

• Translate business needs into technically viable agentic AI solutions with clear outcomes.
• Contribute to design of agents and Copilot solutions, including security and reliability.
• Design production code, prompts, tools, APIs, and MCP services for deployments.
• Build reusable components, plugins, tools, and evaluation datasets with quality rubrics.
• Deploy solutions across environments; configure telemetry, dashboards, alerts and runbooks.
• Apply source control, peer review, CI/CD, and contribute to reusable engineering standards.

Skills

Agentic AI architecture

Workflow design

Multi-step orchestration

AI evaluation

Prompt testing

Observability

Secure development

Cloud integration

CI/CD practices

Team collaboration

Education

BS in CS or related field

Tools

Microsoft Foundry

Copilot Studio

Power Platform

Azure

GitHub or Azure DevOps

OpenTelemetry

Job description

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.

About the role

Agentic AI Engineer is a hands‑on engineering role in the Data and AI Office, reporting to the Head of AI Engineering. The role builds and operationalises secure, production‑grade AI agents, Copilot extensions and reusable enterprise capabilities.

The role works across the delivery lifecycle, from use‑case exploration and technical design through development, evaluation, deployment, monitoring and continuous improvement. It will contribute to 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 AI solutions with clear outcomes, acceptance criteria and operational constraints.
• Contribute to the technical design of assigned agents and Copilot solutions, including secure grounding and retrieval, identity, access, reliability, maintainability, observability, rollback and supportability.
• 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.
• Build reusable components , skills, plugins, tool definitions, prompt templates, evaluation assets, connectors and deployment modules, integrating with governed enterprise data and semantic layers. Execute unit, component, integration, regression, grounding, adversarial, performance, accessibility, security and compliance tests ; build representative evaluation datasets and business-specific quality rubrics.
• Deploy solutions through controlled development, test and production environments ; configure telemetry, traces, dashboards, alerts, auditability and production runbooks; and support diagnosis and remediation of production incidents.
• Apply source control, peer review , version control, dependency management, automated build and CI/CD practices, and contribute production learning to 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.
• Claude Code and Codex
• Microsoft 365 Copilot extensibility, including agents, skills, plugins, connectors, MCP and APIs.
• Python andTypeScript/.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, managed identities, RBAC and least privilege.
• GitHub or Azure DevOps, CI/CD 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.

Preferred

• Experience developing and delivering enterprise AI, data, cloud or automation solutions, with evidence of hands‑on software engineering.
• Experience contributing 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 similarly controlled environment is desirable.
• Degree in computer science, software engineering or a related discipline, or equivalent practical experience.
• Relevant Microsoft AI, Power Platform, Azure or security credentials are desirable where aligned to the candidate's specialism; equivalent practical experience is acceptable.

Job Posting End Date

2026-10-31

Equal Opportunities

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