AI Solution expert

Job Title: AI Solutions Expert

Location : Hyderabad

About the Company

Opella is the self-care challenger with the purest and third-largest portfolio in the Over-The-Counter (OTC) & Vitamins, Minerals & Supplements (VMS) market globally.

Our mission is to bring health in people’s hands by making self-care as simple as it should be. For half a billion consumers worldwide – and counting.

At the core of this mission is our 100 loved brands, our 11,000-strong global team, our 13 best-in-class manufacturing sites and 4 specialized science and innovation development centers. Headquartered in France, Opella is the proud maker of many of the world’s most loved brands, including Allegra, Buscopan, Doliprane, Dulcolax, Enterogermina, Essentiale and Mucosolvan.

B Corp certified in multiple markets, we are active players in the journey towards healthier people and planet. Find out more about our mission at www.opella.com.

About the Role:

As an AI Solutions Expert/Specialist, you will own the design, development, and deployment of artificial intelligence solutions that automate and optimize the end-to-end content lifecycle across a global CPG organization. You will work at the intersection of AI engineering and content operations — connecting proofs of concept, MVPs, and enterprise-grade platforms to streamline how content is generated, organized, and delivered across every consumer and professional touchpoint.

This includes finance, commercial, advertising, social media, e-commerce, email marketing, HCP communications, packaging, point-of-sale materials, in-store activations, and regulatory submissions.

Key Responsibilities:

• Architect and lead AI-driven solutions that automate content creation, adaptation, review, approval, and distribution across all content channels and markets

• Build and maintain production-grade applications on Microsoft Azure, leveraging Azure AI Foundry, Azure AI Search, Document Intelligence, Azure OpenAI Service, Azure Cognitive Services, and related platform services

• Integrate large language models, image generation models, video models, and multi-modal AI systems into scalable content workflows

• Design and implement data pipelines that connect AI models to enterprise content repositories, PIM systems, DAM platforms, and downstream delivery channels

• Drive initiatives through the full lifecycle — from POC through MVP to enterprise-scale deployment — establishing engineering standards, CI/CD pipelines, observability, and governance at each stage

• Collaborate cross-functionally with brand marketing, e-commerce, regulatory/legal, medical affairs, creative agencies, and IT to translate business needs into technical solutions

• Evaluate and integrate emerging AI technologies, foundation models, and Azure services to continuously advance the content ecosystem

• Define governance standards for AI model usage, data quality, content compliance, brand safety, and responsible AI practices

• Mentor developers and engineers on AI/ML engineering patterns, cloud-native development, and Azure best practices

General Business

Required Qualifications:

• 8+ years of experience in software/application development, with a significant portion focused on AI/ML solution engineering

• Hands-on expertise with Azure AI Foundry, Azure Document Intelligence, Azure AI Search, Azure OpenAI Service, and Azure Cognitive/AI Services

• Strong application development background — ability to build, ship, and maintain production-grade software, not just prototypes or notebooks

• Proven experience with LLMs including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and agentic architectures

• Experience with generative AI for image, video, and/or multi-modal content creation

• Solid experience designing and operating data pipelines in Azure (Azure Data Factory, Azure Functions, Event Grid, or equivalent)

• Proficiency in Python and at least one additional enterprise language (C#, TypeScript, Java)

• Strong understanding of API design, microservices architecture, containerization (Docker, Kubernetes/AKS), and cloud-native patterns

• Experience deploying AI solutions through the full maturity curve: POC → MVP → enterprise production

• Hands-on experience with DevOps and MLOps tooling — Azure DevOps or GitHub Actions, MLflow, model versioning, drift monitoring, automated retraining, and A/B testing in production

• Working knowledge of database technol…