Databricks AI 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.

AboutPosition:

We are seeking an experienced Databricks AI Architect to lead the design and implementation of enterprise-scale Artificial Intelligence Machine Learning and Generative AI solutions. The ideal candidate will possess deep expertise in Databricks Python PySpark Machine Learning and modern AI architectures. This role involves architecting scalable AI platforms driving innovation using Generative AI and Agentic AI technologies and delivering business-focused AI solutions that leverage large-scale data ecosystems.

• Role: Databricks AI Architect
• Location: All Persistent Locations
• Experience: Between 11 to 16 Years
• Job Type: Full Time Employment

WhatYoullDo:

• Design develop and deploy end-to-end Machine Learning and Generative AI solutions using Databricks Python and PySpark.
• Perform Exploratory Data Analysis (EDA) to identify data patterns trends quality issues and actionable insights.
• Build train evaluate optimize and deploy Machine Learning models for predictive and prescriptive analytics.
• Design scalable feature engineering data preparation and model training pipelines using Databricks and PySpark.
• Implement and manage ML lifecycle processes using MLflow including experiment tracking model registry versioning and deployment.
• Architect Retrieval-Augmented Generation (RAG) solutions using enterprise data sources vector databases embeddings and Large Language Models (LLMs).
• Develop Generative AI applications such as intelligent assistants chatbots knowledge search platforms and document intelligence solutions.
• Design enterprise AI architectures that ensure scalability security reliability and operational excellence.
• Lead architecture discussions and define best practices for AI ML and data platform implementations.
• Evaluate and benchmark AI models for accuracy performance explainability and business impact.
• Collaborate with business stakeholders to translate functional requirements into technical AI solutions.
• Drive AI governance model management responsible AI practices and deployment standards.
• Support data engineering initiatives including ingestion transformation optimization and pipeline development within the Databricks ecosystem.
• Contribute to Agentic AI initiatives involving autonomous workflows intelligent agents and AI-driven automation.
• Mentor engineering and data science teams on AI architecture model development and best practices.
• Stay current with advancements in Machine Learning Generative AI Agentic AI LLMs MLOps and cloud-native AI technologies.

ExpertiseYoullBring:

• 11 years of experience in Data Science Machine Learning AI Engineering or Data Platform Architecture.
• Strong hands-on expertise with Databricks and the Databricks Lakehouse Platform.
• Deep expertise in Python and PySpark development.
• Strong understanding of Machine Learning algorithms model evaluation techniques and statistical analysis.
• Experience building and deploying enterprise-grade Machine Learning solutions.
• Hands-on experience performing Exploratory Data Analysis (EDA) and feature engineering on large datasets.
• Strong understanding of data engineering concepts and distributed data processing.
• Experience using MLflow for experiment management model lifecycle management and deployment workflows.
• Knowledge of MLOps principles model monitoring and production AI operations.
• Experience designing and implementing Data Lakehouse architectures.
• Strong SQL and data manipulation capabilities.
• Hands-on experience designing and developing Generative AI solutions.
• Strong knowledge of Large Language Models (LLMs) and enterprise AI architectures.
• Experience implementing Retrieval-Augmented Generation (RAG) frameworks and knowledge retrieval systems.
• Understanding of vector databases embeddings semantic search and retrieval optimization.
• Experience integrating AI services such as OpenAI Azure OpenAI Anthropic Claude Gemini or similar platforms.
• Understanding of Agentic AI concepts and autonomous AI workflows.
• Practical implementation experience is preferred; strong theoretical knowledge is also acceptable.
• Experience with prompt engineering prompt optimization and LLM evaluation frameworks.
• Experience architecting enterprise-scale AI and Machine Learning platforms.
• Ability to define technical roadmaps architecture standards and implementation strategies.
• Strong stakeholder management and solution design capabilities.
• Experience leading cross-functional teams across Data Engineering AI Engineering and Business functions.
• Excellent communication presentation and mentoring skills.

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-DrivenPeople-Centric&InclusiveWorkEnvironment:

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.