5 days ago
Pune, IndiaSenior
Responsibilities
- Design and own scalable end-to-end solution architectures for analytics, AI, cloud, and enterprise systems.
- Define system components, functional allocations, interfaces, and integration patterns across applications, platforms, and infrastructure.
- Evaluate solution alternatives, perform cost-benefit analysis, and recommend optimized architectures.
- Create reusable reference architectures, design patterns, and architecture building blocks.
- Architect data pipelines, machine learning systems, enterprise integrations, and analytics and AI platforms.
- Lead pilots and proof-of-concept initiatives to validate emerging technologies.
- Assess infrastructure capacity, architectural risks, and technical constraints while driving mitigation strategies.
- Collaborate with product, project, engineering, customer, and cross-functional stakeholders to align solutions with business goals and enterprise standards.
- Influence technical strategy and promote standard technologies and architecture best practices.
Requirements
- A college, university, or equivalent degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical discipline, or equivalent relevant professional experience.
- Intermediate to advanced experience in solution architecture, enterprise systems, or a related technical discipline.
- Strong proficiency in Python and SQL.
- Experience with data modeling, ETL frameworks, data pipeline design, machine learning lifecycle management, and MLOps.
- Experience designing cloud-based platforms, enterprise applications, scalable data and analytics solutions, enterprise integrations, and AI/ML-enabled architectures.
- Ability to lead cross-functional technical teams, influence architecture decisions, analyze complex business systems, and translate business requirements into scalable technical designs.
- Preferred experience with IoT technologies, Agile software development, DevSecOps practices, and automation frameworks.
- Nice-to-have experience with Databricks, Snowflake, Neo4j, Azure-native solutions, TensorFlow, PyTorch, predictive modeling, and AI-driven decision systems.
Categories
Solutions Engineering
About Cummins
Cummins Inc. designs and manufactures diesel, natural gas, and electrified powertrains, generators, and related components (turbochargers, filtration, emission systems) for commercial vehicles, industrial equipment, marine, rail, and power markets. It sells to OEMs and fleet operators and provides parts and service through a global distribution network. Founded in 1919 and headquartered in Columbus, Indiana, Cummins is a public company listed on the NYSE (CMI).