AI Platform Engineer

Job DescriptionInfiligence is a US- and India-based technology innovator with offices in Chennai and California. We lead in platform engineering, DevSecOps, and AI-driven modernization for highly regulated and dynamic industries.

Role Overview

We are seeking an experienced AI Platform Engineer to design, build, deploy, and maintain cutting-edge AI/ML solutions on Azure. This role is vital in advancing automation, intelligent insights, compliance, and document/training analysis for our customers.

Key Responsibilities

• Design and implement robust AI pipelines for workflows such as Document Lifecycle, CAPA, Deviations, Training Evaluation, and Risk Prediction.
• Train, fine-tune, and deploy ML/DL models for document intelligence (SOP extraction, version comparison, multilingual analysis), AI-powered regulatory search, audit assistants, and training solutions.
• Build advanced risk analytics for predictive modeling (deviations, CAPA effectiveness, process bottlenecks) using Azure Machine Learning.
• Implement AI-driven LMS features: quiz evaluation, training prediction, adaptive learning recommendations.
• Deploy, monitor, and maintain AI/ML models using Azure Machine Learning (pipelines, endpoints, versioning).
• Leverage Azure Cognitive Services for text analytics, translation, anomaly detection.
• Implement vector embeddings/semantic search with Azure AI Search for compliance data.
• Integrate Azure OpenAI for audit prep, natural language Q&A, regulatory chatbots.
• Collaborate with QMS/LMS teams to advance automation in regulated environments.
• Partner with compliance, QA, and regulatory teams to ensure full statutory adherence.
• Mentor junior AI engineers and data scientists in best practices.
• Maintain data compliance (21 CFR Part 11, GDPR), data lineage, traceability and audit trails.
• Ensure explainable AI with full documentation for regulatory transparency.

Required Skills & Experience

• 5+ years hands-on AI/ML development and deployment.
• Strong experience with Azure AI stack:
• Azure Machine Learning (pipelines, ML-Ops, model registry, monitoring)
• Azure AI Search (vector DB, embeddings, semantic ranking)
• Azure OpenAI (prompt engineering, fine-tuning)
• Azure AI Services (translation, text analytics, anomaly detection)
• Azure Document Intelligence (OCR, form recognition, entity extraction)
• Strong programming in Python (PyTorch, TensorFlow, scikit-learn).
• ML-Ops best practices (CI/CD for ML, model lifecycle, drift detection).
• Data engineering pipelines (Azure Data Factory, Event Grid, Databricks).
• Experience in model training, fine-tuning, and production deployment at scale.
• Solid knowledge of regulatory compliance (21 CFR Part 11, GDPR) for AI systems.
• Familiarity with LLM and embedding model integration in enterprise apps.

Preferred Skills

• Experience in Life Sciences, Clinical Trials, Quality Systems.
• Experience with multi-tenant SaaS AI systems.
• Strong understanding of Responsible AI principles.
• Proven work with data engineers to fine tune data pipelines (Azure Data Factory, Event Grid).
• Compliance for data storage, audit trails, model versioning.
• Able to implement explainability features for regulatory AI.
• Track record of maintaining audit-ready model documentation (training data lineage, version control, performance metrics).

Soft Skills

• Strong analytical and problem-solving mindset.
• Excellent communication and technical documentation skills.
• Ability to collaborate in cross-functional, regulated environments.
• Innovation balanced with business requirements.

Benefits

• Competitive salary (as per Indian market standards)
• Comprehensive health and statutory benefits under Indian law
• Growth through advanced skill/certification support
• Global, collaborative, and inclusive work culture

Compliance and Equal Opportunity

Infiligence is an equal opportunity employer and complies with all Indian labor laws including Minimum Wages Act, Payment of Wages Act, Employees Provident Fund, Employees State Insurance Act, and Tamil Nadu Shops and Establishments Act. All offers are subject to background/statutory verification.

Application Process

Apply through our careers page. The process will include technical assessment rounds and interviews by our technical team.

For queries, contact our Chennai Talent Team or write to 

Join Infiligence to build the future of AI-powered platforms