This role is an opportunity to turn the Corporate Affairs AI strategy into working solutions that deliver measurable value. The AI Engineer will build, test, deploy, and optimize AI applications, workflows, and prototypes that improve how teams generate insights, create content, and support strategic communications and engagement.

Company: Novartis

Role: AI Engineer

Location: India

Experience:

5-8 years of hands-on experience in AI engineering, machine learning engineering, software engineering, or data engineering roles
At least 3 years building and deploying production-grade AI, generative AI, or advanced analytics solutions in a corporate environment
Experience monitoring live solutions, resolving production issues, and continuously improving performance, usability, and output quality after launch
Experience working with enterprise data sources, APIs, cloud platforms, and application integration patterns required to operationalize AI solutions at scale

Key Skills:

AI platforms or toolchains (Claude, GPT, Azure OpenAI, Langfuse, vector databases etc.)
Large language models
Prompt design
Workflow orchestration
Model integration
Evaluation approaches
Production support for AI-enabled applications

Qualification:

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related technical field, or equivalent practical experience
Relevant certifications in AI/ML, cloud platforms, data engineering, or software engineering

Role Focus: • Build, configure, test, and deploy AI solutions that address priority Corporate Affairs use cases • Own front-end, user interface development, building user-facing applications end-to-end • Partner with the AI Enablement team to turn business priorities into technically sound solutions • Integrate AI models, enterprise platforms, and approved data sources to create solutions • Develop and refine prompts, logic, workflows, and evaluation approaches to improve output quality, usability, and consistency • Support rapid experimentation and prototyping while maintaining a clear path to production • Monitor solution performance, troubleshoot issues, and continuously optimize reliability, speed, and output quality • Implement testing, documentation, and release discipline • Work closely with business users to gather feedback, improve functionality, and ensure delivered solutions meet real operational needs

Nice to have:

Demonstrated ability to move use cases from prototype through production
Proven track record of delivering measurable outcomes through AI or advanced technology solutions
Experience working with cross-functional stakeholders
Exposure to Corporate Affairs, communications, or content-centric business processes

AI Engineer

Skills Required

Description

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Key Skills:

Qualification:

Nice to have:

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