Senior AIML & MLOps Architect

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 whats 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 disruptors 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 26sequential quarters of growth with $487.6M in Q4 FY26 revenue up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29500global 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 Youll 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 Youll 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

Lets unleash your full potential at Persistent- is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.