Senior AI/ML & MLOps Architect

Persistent Systems · IT Services & Consulting

Pune, Maharashtra, India
Hybrid
Posted today
Data & AI

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About the job

About Persistent

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 18 of the Fortune 50 companies, 7 of the 10 top US banks, 9 of the 10 technology companies, and numerous innovators across the healthcare ecosystem.

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.

About Position:

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.

Role: Senior AI/ML & MLOps Architect

Location: All Persistent Locations

Experience: 8 to 12 Years

Job Type: Full-Time Employment

What You'll Do:

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.

Expertise You'll Bring:

8-12 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.

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

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

We support hybrid work and flexible hours to fit diverse lifestyles.

Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.

If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

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