Senior Analytics Manager – AI Model, Prompt Engineering

Caterpillar Inc.

Lead AI Engineering team developing advanced generative AI solutions at Caterpillar. Shape innovative products and enhance customer interactions through AI-driven experiences.

Posted 6/19/2026full-timeChicago • Illinois, Texas • 🇺🇸 United StatesSenior💰 $172,630 - $258,950 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsEC2Google Cloud PlatformMicroservices

About the role

Key responsibilities & impact

Providing strong technical support and clear direction to ensure the team is aligned with company goals and capable of delivering advanced AI projects
Managing resources efficiently to ensure projects are completed on schedule and to a high standard
Overseeing the performance of both individual team members and the team as a whole, fostering a culture of learning by identifying and addressing training and development needs
Establishing and supervising the implementation of engineering best practices to maintain consistency and excellence in development processes
Taking ownership of the quality of engineering products, making sure all solutions are robust, reliable, and meet high standards

Requirements

What you’ll need

Extensive software engineering leadership experience with leading AI and software teams in agile, matrixed organizations
Demonstrated track record of delivering GenAI solutions and enterprise-scale products across hybrid cloud and embedded/ edge environments
Experience delivering complex cross-functional digital projects in matrixed organizations
Proven experience with project management concepts including project charters, scheduling and planning projects and successful completion
Excellent interpersonal skills are required to deal with sensitive issues, develop others, or influence others inside and outside the department to take specific actions
Should have strong project management skills, team leadership skills, excellent communication skills, strong analytical and organizational skills
Extensive experience with delivering software solutions at scale and complete grasp of fundamental concepts such as CI/CD, unit testing, integration testing, feature flags, blue/green deployments, canary deployments; experience with incident management
Solid software engineering and distributed systems knowledge; understanding of scalable system design, APIs, microservices, and cloud/edge architectures, enabling effective integration of AI components into production-grade applications
Expertise in enterprise platforms and data ecosystems, hands-on experience with delivering data pipelines and data objects
Working knowledge of major cloud platforms such as Azure, AWS, or GCP, including designing and managing scalable, secure AI workloads using services such as Azure Foundry, SageMaker, Bedrock, EC2, and S3
Experience with Snowflake, including AI compute capabilities such as Cortex
Deep knowledge of GenAI system design, including prompt engineering patterns such as system prompts, few-shot, chain-of-thought, and structured output; agentic system concepts including tool use, planning, multi-agent orchestration, memory, guardrails; vector databases concepts such as chunking, embeddings; patterns such as RAG (sparse, dense, hybrid); fine-tuning approaches such as LoRA
Deep knowledge of GenAI model types, including LLMs, SLMs, speech, multimodal, and real-time models
Experience with agentic orchestration frameworks such as LangChain, LangGraph
Familiarity with MCP and A2A protocols
Strong expertise in AI evaluation, model selection, benchmarking, and optimization across open-source and commercial model ecosystems
Strong foundation in AI products evaluation and performance measurement, with deep familiarity with evaluation methodologies, including GenAI-specific metrics (e.g., RAG quality, output reliability), A/B testing, and human-in-the-loop validation to ensure robustness and consistency in production systems.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI project deliveryGenAI solutionsproject managementCI/CDunit testingintegration testingscalable system designAPIsmicroservicesdata pipelines

Soft Skills

interpersonal skillsteam leadershipcommunication skillsanalytical skillsorganizational skills