Senior AI/ML & MLOps Architect

Job Title: Senior AI/ML & MLOps Architect Company: Persistent Systems Job Category: Machine Learning Roles & Responsibilities: Job Description About Persistent Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 26 sequential quarters of growth with $487\.6M in Q4 FY26 revenue, up 7\.8% Q\-o\-Q and 20\.0% Y\-o\-Y. Our 29,500\+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and, for the second year in a row, were awarded the Growth Honor of the Year at the Everest Group Elevate 2026\. We are looking for an experienced AI/ML \& MLOps Architect to design and scale enterprise\-grade AI platforms on AWS. The role focuses on AWS SageMaker, MLOps, model lifecycle management, cloud\-native architecture, and production ML operations. You will lead AI platform modernization while enabling scalable ML, Generative AI, LLM, and RAG solutions across the enterprise. * Architect and implement end\-to\-end AI/ML and MLOps platforms covering model development, training, deployment, monitoring, governance, and retraining. * Design scalable model serving architectures supporting high availability, resilience, security, and cost optimization. * Lead MLOps transformation initiatives and establish enterprise AI engineering best practices. * Build and manage ML pipelines using AWS SageMaker and related AWS AI/ML services. * Design and implement CI/CD and CT (Continuous Training) pipelines for machine learning workloads. * Develop solutions for model monitoring, observability, drift detection, performance tracking, and automated retraining. * Architect cloud\-native AI solutions leveraging AWS services including SageMaker, Bedrock, EKS, Lambda, S3, Glue, and CloudWatch. * Support Generative AI, LLM, and RAG\-based application development initiatives. * Design scalable vector search architectures and AI knowledge retrieval solutions. * Establish governance frameworks for model lifecycle management, compliance, security, explainability, and responsible AI. * Collaborate with business stakeholders, data scientists, engineers, and leadership teams to define AI platform roadmaps. * Mentor engineering teams on AI engineering, MLOps, platform architecture, and cloud\-native development. * Drive performance optimization, cost efficiency, and operational excellence across AI platforms. * 8\-1-3 years of experience in Data Engineering, AI/ML Engineering, Platform Engineering, or Cloud Architecture. * Deep hands\-on expertise with AWS SageMaker (mandatory/deal\-breaker skill). * Strong experience with AWS Bedrock, EKS, Lambda, S3, Glue, CloudWatch, IAM, and other AWS services. * Expertise designing and deploying scalable MLOps platforms and machine learning infrastructure. * Strong experience with Python, PyTorch, machine learning frameworks, and model development workflows. * Hands\-on expertise with Docker, Kubernetes, containerization, and orchestration technologies. * Experience implementing CI/CD, Continuous Training (CT), and Infrastructure as Code (IaC) practices. * Strong knowledge of model deployment, model serving, monitoring, observability, and governance frameworks. * Experience with model drift detection, model evaluation, retraining strategies, and production ML operations. * Understanding of Generative AI, LLMs, Retrieval\-Augmented Generation (RAG), embeddings, and vector databases. * Experience designing cloud\-native, scalable, and resilient AI architectures. * Strong stakeholder management, leadership, communication, and mentoring skills. * Proven ability to drive large\-scale AI transformation and platform modernization initiatives. Work Location: MH, India Availability: Full time

Benefits: * Competitive salary and benefits package * Culture focused on talent development with quarterly growth opportunities and company\-sponsored higher education and certifications * Opportunity to work with cutting\-edge technologies * Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards * Annual health check\-ups * Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Key Skills: Machine Learning, Python, PyTorch Salary: $487