AI-led digital engineering and enterprise modernization for Fortune 50 and financial services
Persistent Systems is a 27,500+ person digital engineering and modernization consultancy headquartered in Pune, serving 20 Fortune 50 companies and tier-one banking clients across the US and India. The hiring profile—89 of 108 active roles in engineering, almost entirely senior-level—reflects a shift toward AI delivery: projects span RAG pipelines, agentic AI workflows, and GenAI application development, while the stack (Java, Python, AWS, Kafka, Kubernetes) supports both classical modernization and emerging AI infrastructure work.
Persistent Systems provides digital transformation, platform engineering, and enterprise modernization services to large financial services, healthcare, and technology organizations. The company operates across three core service lines: Digital Transformation and Strategy, Digital Product Engineering for independent software vendors, and Data-Driven Business & Intelligence. With $1,654.4M in FY26 revenue and 27,500 employees across 18 countries, the firm has delivered 24 consecutive quarters of growth and maintains active delivery on disaster recovery, cloud migration, hybrid networking, and wireless infrastructure projects for mission-critical clients.
Core: Java, Python, AWS (DynamoDB, Lambda, ECS, ECR), Docker, Kubernetes. Data: Elasticsearch, Kafka, RabbitMQ, MongoDB. Enterprise: Salesforce (Sales Cloud, Lightning Web Components, Apex), Oracle. Networking: 5G, LTE, SMPP, ZTNA. Adopting: Salesforce Marketing Cloud, RAG.
Active projects include RAG pipelines and semantic retrieval, agentic AI workflow development, GenAI applications, cloud deployment of control platforms, disaster recovery testing, migration solutions, hybrid networking, and wireless core deployment.
Persistent Systems's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.