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AI Lab Solution Architect
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Cummins Inc.

AI Lab Solution Architect

Onsite Hong Kong, Hong Kong
Posted 4 hours ago
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Job Details

DESCRIPTION

Watch this video to learn more about Cummins Inc.

Job Summary:

  • Assess and apply new solution designs against defined architecture strategies, principles, policies and standards in alignment with the enterprise architecture strategies. Where current strategies and principles do not meet needs, drive changes back to Principal Solution Architect. Defines application and solution designs for specific systems in coordination with project or product teams.

Key Responsibilities:

  • Defines component breakdown of the system; performs functional allocation to the components; establishes interfaces between systems and among system components.
  • Effectively applies enterprise architecture standards including styles, stacks, and patterns.
  • Develops multiple design solutions; performs cost/benefit analysis; recommends optimized solution designs to meet business and analytic technical requirements.
  • Defines reference architectures aligned with architecture standards and building blocks to be applied globally.
  • Drives changes in technical architecture into solution designs. Builds strong relationships with customers and peers to effectively promote solution development using standard technologies.
  • Maintains awareness of emerging technologies, software trends, and tools. Facilitates and supports execution of pilot and or proof of concept activities to validate technology capabilities.
  • Analyzes infrastructure capacity and provides recommendations for emerging needs.
  • Maintain strong relationships to deliver business value using relevant Business Relationship Management practices.

RESPONSIBILITIES

Competencies:

  • Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.
  • 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.
  • Persuades - Using compelling arguments to gain the support and commitment of others.
  • Strategic mindset - Seeing ahead to future possibilities and translating them into breakthrough strategies.
  • Change Management - Applies the Cummins structured process and tool set for engaging individuals and organizations through change to achieve and sustain business results and outcomes.
  • 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 Design - Creates and defines the solution design complete with instrumentation and measurement, using industry standards and tools, version control, and build and test automation to synthesize diagrams, models and documentation in order to build a solution that meets buildability, business, technical, security, governance and compliance requirements.
  • 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.
  • Project Issue and Risk Management - Manages the process to identify, assess and prioritize issues and risks using recommended tools and disciplines. Drives actions to minimize, monitor and control risks and issues and to maximize the most positive outcomes possible.
  • Values differences - Recognizing the value that different perspectives and cultures bring to an organization.

Education, Licenses, Certifications:

  • College, university, or equivalent degree in relevant technical discipline, or relevant equivalent experience required. This position may require licensing for compliance with export controls or sanctions regulations.

Experience:

Intermediate experience (2-4 years) in a relevant discipline area is required with a demonstrated track record of architecture and design for cloud-based platforms. Knowledge of the latest trends in emerging technologies is highly preferred and includes:

  • Analyzing complex business systems, industry requirements, and governance and creating solution designs from them
  • Proven architecture and design experience for cloud-based platforms and enterprise applications
  • Intermediate experiences in the following are preferred: - Experience with architecting and integrating enterprise systems and data - Familiar with IoT technology - Knowledge of Agile software development and DevSecOps

QUALIFICATIONS

JD — AI Lab Solution Architect (Senior Level)

Cummins AI Lab – Artificial Intelligence Laboratory

About Cummins AI Lab

  • The AI Lab integrates applied AI research, engineering workflows, manufacturing processes, and enterprise platforms to deliver high-value AI solutions across Cummins’ global operations. We drive both rapid PoCs and full-scale production deployments.
  • We are seeking an AI Lab Solution Architect to lead AI solution design and end-to-end delivery of enterprise-grade AI initiatives.

Role Overview

This senior role focuses on leading AI solution strategy, architecture alignment, and end-to-end execution across complex enterprise environments.

The AI Lab Solution Architect works cross-functionally with LLM scientists, platform architects, product architects, domain experts, and global stakeholders to design, scope, and deliver PoCs and production-grade AI systems.

This role emphasizes solution ownership and delivery excellence, rather than direct people management of an AI team.

Key Responsibilities 1. AI Solution Leadership

  • Lead the design, scoping, and structuring of AI solutions aligned with business objectives.
  • Translate business requirements into end-to-end AI solution architectures.
  • Define solution roadmaps from ideation → PoC → production deployment.
  • Ensure alignment across modeling, data, engineering, platform, and infrastructure components.
  1. Technical Oversight & Architecture Governance
  • Review and validate solution architectures, prototypes, and implementation plans.
  • Ensure AI solutions meet enterprise standards for scalability, security, reliability, and performance.
  • Guide cross-functional teams across research, development, data pipelines, modeling, engineering, and deployment.
  • Drive technical risk identification and mitigation strategies.
  1. Cross-Functional Coordination
  • Partner with Solution Architects, Platform Architects, Domain Experts, and IT stakeholders.
  • Work closely with global engineering, manufacturing, service, and enterprise platform teams.
  • Align priorities, scope, dependencies, and measurable success metrics.
  • Act as the primary solution owner across multiple stakeholder groups.
  1. End-to-End Delivery Management
  • Lead the lifecycle of AI initiatives from concept validation to enterprise rollout.
  • Drive execution planning, milestone tracking, and delivery accountability.
  • Ensure high-quality and timely deployment of AI solutions.
  • Communicate solution progress, trade-offs, and outcomes to business and technical leadership.

Must-Have Qualifications

  • Master’s degree in AI, Computer Science, Engineering, or related fields; OR equivalent industry experience.
  • Strong experience delivering production AI/LLM systems in enterprise environments.
  • Proven experience leading complex AI solution design and cross-functional delivery.
  • Deep understanding of full AI lifecycle (requirements → exploration → data → modeling → engineering → infrastructure → deployment).
  • Experience working in multi-region, cross-functional enterprise settings.
  • Excellent communication, stakeholder alignment, and structured problem-solving skills.

Preferred Qualifications

  • Experience with cloud platforms and enterprise AI infrastructure.
  • Experience in engineering, manufacturing, or industrial AI applications.
  • Experience managing large-scale AI solution portfolios or multi-stream AI programs.

What You Will Gain

  • Leadership role driving high-impact AI solution initiatives across Cummins.
  • Opportunity to shape enterprise AI architecture and delivery standards.
  • High strategic visibility and direct influence on enterprise AI transformation.

Job Systems/Information Technology

Organization Cummins Inc.

Role Category On-site with Flexibility

Job Type Exempt - Experienced

ReqID 2426824

Relocation Package Yes

100% On-Site No

Company Details
Cummins Inc.
 Columbus, IN, United States
Work at Cummins Inc.

Cummins Inc. is a global power solutions leader that designs, manufactures, distributes, and services a broad portfolio of reliable, clean power... Read more

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