AI Platform & Infra Architect

Job Summary:

• Responsible for assessing, defining and championing the IT architecture strategies, principles, policies and standards in alignment with Cummins IT strategy and governing their use; coordinates with project teams to create, document, assess and/or validate the application and infrastructure architecture artifacts / designs for specific systems to meet Cummins security policies, governance, compliance and regulations and review the architecture artifacts with the stakeholders.

Key Responsibilities:

• Applies enterprise architecture standards including styles, stacks, and patterns and applies them effectively. 
• Develops project solution designs to meet business and technical requirements. 
• Defines reference architectures aligned with IT technology standards to be reused as building blocks for other solutions. 
• Participates as a change agent to drive strategic IT architecture direction - Cloud first, API first, DevOps , Agile etc. 
• Leads and facilitates technical analysis, solution design, and technology domain sessions to drive optimum IT solutions. 
• Builds strong relationships with customers and peers across IT to effectively promote solution development using standard technologies. 
• Maintains awareness of emerging technologies, software trends, and tools. 
• Considers multiple, varied alternatives and recommends appropriate solutions based on cost/benefit analysis. 
• Facilitates and supports execution of pilot and or proof of concept activities to validate technology capabilities. 
• Collaborates with project teams to understand requested capabilities and recommends the right set of technologies to meet the needs. 
• Provides infrastructure capacity recommendations for new applications and systems.

Responsibilities

Competencies: 

• Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. 
• Communicates effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. 
• Decision quality - Making good and timely decisions that keep the organization moving forward. 
• Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity. 
• Optimizes work processes - Knowing the most effective and efficient processes to get things done, with a focus on continuous improvement. 
• Architecture System Design - Defines and develops architecture deliverables, artifacts and building blocks (e.g. conceptual models, logical models, physical network designs, etc.) by applying architecture principles through the use of an architecture development framework and methodology that enables the organization to transform its systems in a controlled manner in response to business needs. 
• Solution Functional Fit Analysis - Composes and decomposes a system into its component parts using procedures, tools and work aides for the purpose of studying how well the component parts were designed, purchased and configured to interact holistically to meet business, technical, security, governance and compliance requirements. 
• System Solution Architecture - Creates solution designs and patterns using the Cummins Technical Reference Model (CTRM), CLEAN standards, and existing reference patterns to maintain alignment to Cummins standards. 
• Values differences - Recognizing the value that different perspectives and cultures bring to an organization. 
• Business Need Definition - Defines the business outcome that the proposed work will provide using the Business Analysis Toolkit (modeling the five aspects and creating use cases) to justify investment of resources (people, time, finances). 

Education, Licenses, Certifications: 

• College, university, or equivalent degree in Computer Science, Information Technology, Business, or related subject, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations. 

Experience: 

• Intermediate level of relevant work experience required. 3-6 years of experience.

Qualifications

 AI Platform / Infra Architect (Senior Level)

Cummins AI Lab – Artificial Intelligence Laboratory

About Cummins AI Lab

The AI Lab develops robust, scalable infrastructure powering LLMs, agent frameworks, retrieval systems, knowledge platforms, and enterprise AI applications across Cummins’ global footprint.
We design the backbone of Cummins’ AI ecosystem.

We are seeking a Senior AI Platform / Infra Architect to lead compute, cloud, deployment, and infrastructure architecture for enterprise-scale LLM and AI systems.

Role Overview

This senior technical role requires expertise across cloud architecture, distributed systems, LLM deployment, GPU infrastructure, networking, storage, and end-to-end engineering.
You will architect the platforms that power Cummins’ AI solutions globally.

Key Responsibilities

1. AI Infrastructure & Deployment Architecture

• Design scalable LLM inference and service architectures (vLLM, Triton, DeepSpeed-Inference).
• Architect hybrid cloud/on-prem compute for model serving, retrieval, and agent workflows.
• Ensure high availability, security, performance, observability, and compliance.

2. End-to-End Platform Engineering

• Build CI/CD, LLMOps, automation, and deployment pipelines.
• Optimize compute, networking (RoCE/IB), caching, and I/O across AI workloads.
• Implement monitoring, logging, tracing, and cost optimization.

3. Foundational Platform Capability Development

• Build platform components including data ingestion layers, vector databases, model serving gateways, and knowledge systems.
• Enable product teams and AI teams to develop scalable solutions on top of the infra.

4. Technical Leadership & Collaboration

• Partner with AI scientists, Solution Architects, and Product teams to ensure platform alignment.
• Lead technical design reviews and drive architectural standards.

Must-Have Qualifications

• Master’s degree in Computer Science, Distributed Systems, Cloud Computing, or related fields; OR equivalent industry experience.
• Strong hands-on experience with cloud-native systems: Kubernetes, Docker, microservices, service mesh.
• Deep expertise in GPU/TPU accelerators, distributed inference/training, high-performance networking.
• Proven experience deploying AI systems into production environments.
• Fluency across IaaS/PaaS/SaaS layers and hybrid cloud infrastructure.
• Strong backend and systems engineering ability (APIs, infra automation, DevOps/LLMOps).
• Experience in enterprise security and compliance.

Preferred Qualifications

• Experience in major cloud providers or AI infrastructure teams.
• Familiarity with industrial IT/OT integration.
• Experience architecting large-scale, high-performance inference clusters.

What You Will Gain

• Ownership of core AI infrastructure for a global enterprise.
• Opportunity to architect high-impact, scalable AI systems that support key engineering and industrial workflows.

About UsCummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.