AI/ML Solution Architect jobs in United States
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Solar Turbines · 20 hours ago

AI/ML Solution Architect

Caterpillar Inc. is a global team focused on creating stronger, sustainable communities. They are seeking an AI/ML Solution Architect to lead the design of AI-enabled applications and platforms with an emphasis on generative AI and modern solution architecture.

EnergyManufacturingOil and Gas
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Growth Opportunities
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Responsibilities

Design and architect AI powered and GenAI enabled applications and services
Define solution patterns for LLMs, SLMs, embeddings, vector search, RAG pipelines, and AI agents
Guide teams on selecting and integrating AI components and cloud native services
Establish secure, scalable, and responsible AI architecture standards
Embed ML/GenAI features into enterprise applications and operational systems
Support MLOps/LLMOps workflows including deployment, monitoring, governance, and prompt management
Partner with Engineering, Product, Platform, and Cybersecurity teams to deliver high quality solutions
Influence AI strategy and help drive enterprise AI adoption
Architect end to end data flows supporting AI/ML workloads, ensuring high quality data ingestion, transformation, storage, and retrieval across structured, semi structured, and unstructured data sources
Ensure AI system designs align with enterprise data models, data governance policies, data retention standards, and lineage requirements

Qualification

AI/ML solution designGenerative AI expertiseCloud native architectureMLOps/LLMOps experienceData architecture fundamentalsMicroservicesAPIsData modeling knowledgeApplied statistical reasoningCommunicationLeadership skills

Required

10+ years of experience in enterprise technology, with strong background in solution or software architecture
Hands on experience integrating machine learning and/or generative AI into real world applications
Familiarity with LLM frameworks and tools (e.g., LangChain, Hugging Face, Semantic Kernel, vector databases)
Knowledge of cloud native architecture, microservices, and distributed systems
Understanding of RAG workflows, embeddings, model integration, and AI safety patterns
Experience with MLOps/LLMOps, model lifecycle management, and production AI systems
Ability to simplify complex technical concepts and influence technical and business stakeholders
Strong foundational knowledge of enterprise data architecture, including data modeling (conceptual, logical, physical), metadata management, master data management (MDM), and data integration patterns
Experience designing and optimizing data platforms such as data warehouses, data lakes, lakehouses, and real time data pipelines
Working knowledge of various data formats (tabular, time series, geospatial, image, text, sensor/IoT, transactional) and how they are leveraged in AI/ML workloads
Ability to evaluate dataset quality, data drift, feature quality, and bias to support robust model development
Solid grasp of applied mathematics and statistics (e.g., probability, distributions, linear algebra, optimization basics, error metrics) sufficient to collaborate effectively with data scientists and understand model behavior
Familiarity with feature engineering concepts, feature stores, and data preprocessing methodologies

Preferred

AI/ML & Generative AI solution design
LLM orchestration, prompt engineering, RAG
Cloud native architecture (AWS/Azure/GCP)
Microservices, APIs, distributed systems
Secure architecture & responsible AI principles
Strong communication & leadership
Data architecture & data engineering fundamentals
Understanding of data modeling, ETL/ELT, and pipeline orchestration tools
Applied statistical reasoning and ability to interpret ML model outputs alongside data scientists

Benefits

Medical, dental, and vision benefits
Paid time off plan (Vacation, Holidays, Volunteer, etc.)
401(k) savings plans
Health Savings Account (HSA)
Flexible Spending Accounts (FSAs)
Health Lifestyle Programs
Employee Assistance Program
Voluntary Benefits and Employee Discounts
Career Development
Incentive bonus
Disability benefits
Life Insurance
Parental leave
Adoption benefits
Tuition Reimbursement
These benefits also apply to part-time employees

Company

Solar Turbines

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Solar Turbines Incorporated, a subsidiary of Caterpillar Inc., is one of the world’s leading manufacturers of industrial gas turbines.

Funding

Current Stage
Late Stage
Total Funding
unknown
1981-05-15Acquired

Leadership Team

R
Robert May
Chief Financial Officer
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B
Bryan Ross
COO
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Company data provided by crunchbase