Applied AI Solutions Engineer – PHB Commercial Transformation

Overview

Design, build, deploy and continuously improve AI solutions that help PHB commercial teams work more effectively and create measurable business outcomes, as part of the Strategy Deployment team within the Planetary Health Biosolutions (PHB) business division.

What you'll do

• Work directly with PHB commercial teams to understand workflows, user needs and business challenges, and translate them into practical AI solutions.
• Design and build AI agents, applications and workflows using prompting, grounding, retrieval, tool usage, actions and orchestration.
• Develop thin-slice solutions to rapidly validate user value and technical feasibility.
• Build iteratively with users, leveraging feedback and evidence to improve, redesign or discontinue solutions where appropriate.
• Securely connect AI solutions to enterprise platforms and data sources, including Salesforce, Microsoft 365 and approved AI services.
• Build integrations using APIs, connectors and workflow technologies with appropriate identity, security and approval controls.
• Work with structured and unstructured data, enterprise knowledge sources and retrieval-augmented generation (RAG) patterns.
• Design and develop solutions with security, privacy, responsible AI, maintainability and reuse in mind.
• Design and execute functional, integration, regression and AI-specific evaluations covering groundedness, retrieval quality, agent behavior, reliability and user experience.
• Test solutions with end users and make data-driven decisions on whether to scale, iterate or stop initiatives.
• Deploy, monitor, support and continuously improve production solutions in partnership with Central IT, ComEx and other enterprise stakeholders.
• Document solutions, technical patterns and key learnings to support ongoing maintenance, reuse and scale across the organization.

What you'll need

• Bachelor's degree in Computer Science, Software Engineering, Data Science or a related discipline, or equivalent practical experience.
• 2–6 years of relevant professional experience building and deploying AI, GenAI or agent-based solutions in production environments.
• Hands-on experience with LLMs, AI agents, prompting, grounding, retrieval-augmented generation (RAG), tool use and orchestration frameworks.
• Strong programming skills in Python and/or JavaScript/TypeScript.
• Experience working with APIs, data integration, Git/version control, testing practices and CI/CD pipelines.
• Experience building workflows and integrations using technologies such as Microsoft Power Platform, Power Automate, Azure Logic Apps, Salesforce Flow, REST APIs or similar tools.
• Experience taking AI solutions from prototype through deployment, monitoring, troubleshooting and continuous improvement.
• Good understanding of cloud platforms, identity and access management, secure enterprise data handling, responsible AI and production reliability.
• Ability to work directly with business users and technical teams to translate business challenges into practical technology solutions.
• Strong written and verbal communication skills in English.

Nice to have

• Experience with enterprise AI platforms such as Microsoft Copilot Studio, Microsoft Foundry, Salesforce Agentforce, UiPath or comparable technologies.
• Experience supporting sales, marketing, customer engagement or commercial business functions.
• Curiosity and adaptability to work across different AI models, platforms and frameworks while selecting the best technology for the business problem.
• Experience working in fast-paced environments with evolving priorities and emerging technologies.

Details

• Location: Bangalore.
• Application deadline: 23 November 2026; applications are reviewed on an ongoing basis.