AI ML Solutions Architect | (10+ Years Experience)|Hybrid working |Pune,India

Job Summary :

We are seeking a highly experienced  AI Solutions Architect  with deep expertise in Artificial Intelligence, Machine Learning, and Generative AI (GenAI). This role involves leading the design, development and deployment of scalable AI / ML solutions and tools with a strong focus on innovative architectures. The ideal candidate will collaborate across teams to deliver high-performance AI systems aligned with business objectives and future scalability.

Primary Work Location : Pune

Work Type : Hybrid

Job Type : Full-Time

In this Role, Your Responsibilities Will Be :

• Design and implement full-stack scalable AI / ML systems integrating frontend (React / Angular), backend (Python / Node.js), RESTful APIs, RAG and agentic frameworks (LangChain, AutoGen).
• Architect distributed, microservice-based AI pipelines using event-driven architectures and containerized deployments on Azure and AWS (secondary).
• Advanced ML / DL models including GPT, BERT, CNNs, RNNs, GANs for NLP, computer vision, and multimodal applications.
• Engineer prompt-based systems using retrieval-augmented generation (RAG), few-shot learning, and prompt tuning to optimize LLM performance.
• Lead data preprocessing workflows with Spark, Pandas, and MLFlow, including feature engineering and data augmentation.
• Model observability frameworks for drift detection, performance monitoring, and lifecycle management using tools like Prometheus and Grafana.
• Apply model optimization techniques such as quantization, pruning for real-time, low-latency inference.
• Enforce AI / ML system security by integrating data protection protocols, implementing role-based access control (RBAC), encryption standards (TLS, AES), and ensuring compliance with regulatory frameworks such as GDPR, HIPAA, and ISO / IEC 27001 through automated policy enforcement and audit logging.
• Ensure AI security, governance through bias mitigation, explainability and secure deployment aligned with compliance standards.
• Conduct technical feasibility assessments, PoCs, and infrastructure cost estimation with risk analysis.
• Lead AI architecture with cross-functional collaboration, Agile execution, and continuous innovation while maintaining technical excellence and comprehensive documentation.
• Exceptional ability to articulate complex AI and technical concepts with clarity, enabling effective communication across technical and non-technical stakeholders.

Qualifications :

Preferred Skills :