5 hours ago
Pune, IndiaSenior
Responsibilities
- Define solution and system architectures aligned with enterprise strategies, standards, reference architectures, and technology principles.
- Decompose systems into components, establish interfaces, and design scalable solutions for cloud platforms, enterprise applications, data platforms, and integrated systems.
- Evaluate architectural options, conduct cost-benefit analysis, and recommend solutions based on business value, feasibility, cost, performance, and scalability.
- Architect and integrate enterprise applications, data platforms, APIs, analytics, AI/ML platforms, and other technology systems.
- Develop architecture models, solution diagrams, patterns, reference architectures, technical documentation, and other architecture deliverables.
- Translate complex business, technical, industry, governance, security, and compliance requirements into practical technical solutions.
- Collaborate with project, product, engineering, data, security, business, customer, and other stakeholder teams.
- Provide technical leadership, influence architecture decisions, and manage technical risks, issues, dependencies, and trade-offs.
- Support pilots, proof-of-concept initiatives, technology evaluations, and adoption of modern software delivery practices.
- Analyze infrastructure and technology capacity and assess emerging technologies for applicability to business solutions.
- Apply Business Relationship Management practices to promote measurable business value.
Requirements
- College, university, or equivalent degree in Computer Science, Information Technology, Engineering, or another relevant technical discipline, with relevant equivalent experience accepted in place of a formal degree.
- Strong proficiency in Python and SQL.
- Experience with enterprise architecture, solution and system architecture, cloud architecture, data architecture, data modeling, data warehousing, ETL, data pipelines, system integration, API architecture, and enterprise application architecture.
- Experience with analytics and AI/ML platform architecture, machine learning lifecycle management, and MLOps.
- Understanding of security, governance, compliance, architecture frameworks, design patterns, reference architectures, build automation, and version control.
- Experience designing cloud-based platforms, enterprise applications, enterprise data and analytics solutions, AI/ML-enabled solutions, and integrations across applications, APIs, and data platforms.
- Experience developing solution designs, architecture models, technical documentation, and reference patterns.
- Experience evaluating technology options and leading or influencing cross-functional technical teams and architecture decisions.
- Preferred experience includes IoT, connected systems, DevSecOps, automation, cost optimization, performance engineering, Agile environments, agentic lifecycle management, AIOps, and geographically distributed teams.
- Nice-to-have experience includes Databricks, Snowflake, Neo4j, Azure-native solutions, TensorFlow, PyTorch, predictive modeling, AI-driven decision systems, and cloud-native application and data platform architectures.
- Strong analytical, problem-solving, communication, influencing, stakeholder management, and technical leadership skills.
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).