Senior Analytics Manager - AI Model & Prompt Engineering

• 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.

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

• Software Integration Engineering: Extensive knowledge of software integration processes and functions; ability to design develop and maintain interfaces and linkage to alternative platforms and software packages.

• Software Quality Assurance and Testing: Extensive knowledge of software quality assurance and testing; ability to apply appropriate processes tools and techniques for assuring a high level of quality in computer software products and systems.

• Organizational Leadership: Extensive knowledge of leadership concepts and ability to use strategies and skills to enlist others in setting embracing and achieving objectives.

• 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.

• 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

What We Do

Cat Digital is the digital and technology arm of Caterpillar Inc. responsible for bringing digital capabilities to our world-famous yellow iron. With over 1.5M connected assets worldwide our teams use data technology advanced analytics and AI capabilities to help our customers build a better world.

Why Work With Us

The Cat Digital team is at the forefront of Caterpillar’s evolution. We take pride in solving complex problems by building new systems from the ground up. On our team you’ll leverage data from across our entire enterprise to find solutions that open a new world of possibilities for our customers and dealers. Join us in building a better tomorrow.

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