AI / ML Solutions Architect

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.

In this Role, Your Responsibilities Will Be :

o 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).

o Architect distributed, microservice-based AI pipelines using event-driven architectures and containerized deployments on Azure and AWS (secondary).

o Advanced ML / DL models including GPT, BERT, CNNs, RNNs, GANs for NLP, computer vision, and multimodal applications.

o Engineer prompt-based systems using retrieval-augmented generation (RAG), few-shot learning, and prompt tuning to optimize LLM performance.

o Lead data preprocessing workflows with Spark, Pandas, and MLFlow, including feature engineering and data augmentation.

o Model observability frameworks for drift detection, performance monitoring, and lifecycle management using tools like Prometheus and Grafana.

o Apply model optimization techniques such as quantization, pruning for real-time, low-latency inference.

o 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.

o Ensure AI security, governance through bias mitigation, explainability and secure deployment aligned with compliance standards.

o Conduct technical feasibility assessments, PoCs, and infrastructure cost estimation with risk analysis.

o Lead AI architecture with cross-functional collaboration, Agile execution, and continuous innovation while maintaining technical excellence and comprehensive documentation.

o Exceptional ability to articulate complex AI and technical concepts with clarity, enabling effective communication across technical and non-technical stakeholders.

Qualifications :

• Bachelor's or Master’s degree in Computer Science, Data Science, or related field with 10+ years in AI / ML architecture and enterprise-grade solution delivery.
• Over 5 years of specialized experience in architecting and deploying AI / ML systems, with a demonstrated history of delivering production-grade solutions across diverse use cases.
• Hands-on experience with agentic frameworks (LangChain, AutoGen), prompt engineering, and scalable LLM deployment.
• Strong expertise in GenAI, Machine Learning, Data Science, transformer models (GPT, BERT), deep learning (CNNs, RNNs, GANs), and multimodal AI systems.
• Proficient in Python and ML / DL frameworks like TensorFlow, PyTorch, Hugging Face, and MLFlow.
• Skilled in designing distributed AI pipelines using microservices, containerization (Docker, Kubernetes) and cloud platforms (Azure, AWS-secondary).
• Deep understanding of data engineering, CI / CD automation, model observability, and performance optimization.
• Specialized in AI security including adversarial robustness, federated learning, encryption standards, and regulatory compliance.
• Proven leadership in Agile environments, technical mentoring, and translating business needs into scalable AI architectures.
• Passionate about innovation with a track record of integrating emerging AI technologies into production-ready systems.

Preferred Skills :