AI Solution Manager

Job Summary:

• Responsible for assessing, defining and championing the IT architecture strategies, principles, policies and standards in alignment with the company's 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 organization 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

About the Role

The AI Solution Manager is part of the Digital organization and focuses on industrializing AI solutions across the enterprise. This role is responsible for taking AI PoCs developed by the AI Lab and transforming them into scalable, production-grade AI products. The position emphasizes solution implementation, platformization, and enterprise rollout rather than early-stage research or PoC development.

Key Responsibilities

1. AI Solution Industrialization
- Take AI PoCs from AI Lab and drive productization and large-scale deployment.
- Translate prototypes into robust, maintainable, and scalable AI solutions.
- Ensure seamless integration into enterprise systems and workflows.
2. AI Platform (AI Middleware) Development
- Design and build enterprise AI middle platform (AI platform capabilities).
- Develop reusable AI components, services, and solution frameworks.
- Enable standardization and reuse of AI capabilities across multiple business scenarios.
3. Solution Implementation & Delivery
- Lead implementation of AI solutions from pilot to full-scale rollout.
- Define system architecture, data pipelines, and integration patterns.
- Ensure solution quality across scalability, reliability, and performance.
4. Cross-functional Collaboration
- Collaborate closely with Product Managers to define requirements and productize AI solutions.
- Work with AI Lab, platform teams, engineering teams, and business stakeholders.
- Align technical implementation with product roadmap and business priorities.

Qualifications

- Bachelor’s degree in Computer Science, AI, Engineering, or related fields, or equivalent experience.
- Strong hands-on experience in implementing AI/LLM solutions in production environments.
- Experience in system integration, software engineering, and AI solution architecture.
- Understanding of AI lifecycle: data, modeling, deployment, and monitoring.
- Experience working on enterprise platforms or large-scale systems.
- Good collaboration skills with product, engineering, and business teams.

Preferred Qualifications

- Experience in building AI platforms or middle-layer systems.
- Experience in industrial, manufacturing, or engineering domains.
- Familiarity with cloud platforms and enterprise IT environments.

What You Will Do

- Drive the transition from AI PoCs to scalable enterprise solutions.
- Build reusable AI solution frameworks and platform capabilities.
- Deliver real business impact through production-grade AI systems.

Qualifications

Competencies: 

• Security & Compliance Principles - Applies standards, tools, and best practices to embed security, privacy, and compliance into the design/build/test/operate lifecycle for products, services, apps, systems, software, and configurations—balancing protection, efficiency, and cost. Data Principles - Governs, models, secures, implements, and observes data flows to ensure integrity, quality, and compliance—enabling trusted, scalable, cost-conscious data use. 
• Solution Design - Translate business requirements into integrated designs, architectures, patterns, and system interactions that deliver customer value and align with enterprise standards and subject-matter platforms. 
• System Architecture- Creates and evolves architecture system blueprints developing reusable patterns and roadmaps to ensure scalability, resilience, security, and long-term efficiency. 
• Business Architecture - Structures capabilities, value streams, processes and operating models that translate strategy into executable designs, guide investment and transformation decisions, and deliver strategic results. 
• Strategic Roadmap Planning - Develops globally tuned, multi-year roadmaps that connect vision to execution—sequencing investments with capacity, risk, and measurable benefits. 
• Demonstrating Mastery - Maintains essential knowledge and proficiency in relevant domains, tools, technologies, methodologies, or frameworks through targeted credentials and rigorous proficiency, future-proofing organizational skills against strategic needs. 
• Strategic and Innovative Thinking - Evaluates business and technology trends, anticipates future needs, develops creative approaches, and frames innovations to shape strategy and create durable value with cost-aware innovation. 
• Technical Passion & Drive - Models curiosity and excitement for technology by self-initiating continuous development, experimenting with emerging technologies, and identifying insertion opportunities that accelerate business performance. 
• Driving Effective Outcomes - Takes ownership, acts with urgency, and initiates action to turn goals into clear plans, decisions, guardrails, and cadences while navigating ambiguity and change to drive momentum and deliver consistent results. 
• Engaging with Impact - Communicates with clarity and purpose to align stakeholders, foster collaboration, build trust, and influence coordinated action across teams and functions to accelerate outcomes. 
• Values Differences - Recognizing the value that different perspectives and cultures bring to an organization. 
• Ensuring Customer Success - Embraces a customer-first mindset to deliver outcomes by linking customer needs and business priorities to aligned solutions, delivery, adoption, satisfaction, and realized value through sustained engagement that builds partnership and trust. 

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.