Senior Analytics Manager - AI Model & Prompt Engineering

** Career Area:*
* Technology, Digital and Data

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* Job Description:

*
* ** Your Work Shapes the World at Caterpillar Inc.*
* When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other.  We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live.

Together, we are building a better world, so we can all enjoy living in it.

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* Job Summary:

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* Join the AI Engineering team of Cat Digital and take charge of leading and coordinating a team dedicated to building advanced generative AI solutions-including intelligent agents, digital assistants, and other innovative capabilities. You will shape the development of cutting-edge products that redefine how customers and dealers interact with technology through AI-driven experiences.

** What You Will Do**  **:*
* + 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 theteam as a whole, fosteringa culture of learning byidentifyingand addressing training and development needs.

+ Establishing and supervising the implementation of engineering best practices tomaintainconsistency and excellence in development processes.

+ Taking ownership of the quality of engineering products, making sure all solutions are robust, reliable, and meethigh standards.

** What

You Will Have:

*
* +  
** Software Development:
** Expert knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.

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** Software Integration Engineering:
** Extensive knowledge of software integration processes and functions; ability to design, develop andmaintaininterfaces and linkage to alternative platforms and software packages.

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** Software Quality Assurance and Testing:
** Extensive knowledge of software quality assurance and testing; ability to apply appropriate processes, tools, and techniques for assuringa high levelof quality in computer software products and systems.

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** Organizational Leadership:
** Extensive knowledge of leadership concepts and ability to use strategies and skills to enlist others in setting,embracingand achievingobjectives.

** Considerations For Top Candidates:*
* + Extensive software engineering leadership experience with leading AI and software teams in agile, matrixed organizations

+ Demonstrated track recordof delivering GenAI solutions and enterprise-scale products across hybrid cloud and embedded/edgeenvironments.

+ Experience delivering complex cross-functional digital projects in matrixed organizations.

+ Proven experience with project management concepts including project charters, scheduling and planningprojectsand successful completion.

+ Excellent interpersonal skills arerequiredto 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 deliveringsoftwaresolutions atscale and complete graspof fundamentalconcepts such asCI/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, Sage Maker, Bedrock, EC2, and S3

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Experience with Snowflake, including AIcomputecapabilities 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 asLoRA.

+ Deep knowledge of GenAI model types, including LLMs, SLMs, speech, multimodal, andreal-timemodels

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Experience with agentic orchestrationframeworkssuch asLangChain,Lang Graph

+ Familiarity with

MCPand A2

Aprotocols

+ Strongexpertisein AI evaluation, model selection, benchmarking, and optimization across open-source and commercial model…