Senior AI Engineer

Your Title: Senior AI Engineer

Job Location: Mexicali, Mexico

Our Division: Trimble AECO

About the Role

Are you an AI/ML expert ready to drive strategic initiatives and innovation with significant business impact?

Trimble's Architecture, Engineering, Construction, and Owner (AECO) segment is seeking a Senior AI Engineer to join our Construction Management Solutions (CMS) department. This is a senior technical leadership role for an individual recognized as a technical authority in AI/ML, capable of shaping organizational strategy and delivering significant business impact.

What You'll Do:

• Lead the development and deployment of advanced deep learning models to solve complex, real-world problems at scale.

• Strategically curate and maintain effective datasets, driving data quality initiatives.

• Design and build multi-agent AI systems, focusing on orchestration, task delegation, reasoning, and inter-agent communication.

• Leverage Microsoft Semantic Kernel or other similar frameworks to implement intelligent autonomous agents with strong reasoning capabilities.

• Develop effective prompting strategies to optimize LLM outputs across reasoning, creativity, and reliability dimensions.

• Evaluate agent and LLM performance using benchmarking, safety, fairness, and Microsoft evaluation frameworks.

• Integrate AI agents with AI Services (Language, Speech, OpenAI, Cognitive Search) to deliver end-to-end solutions.

• Build observability frameworks (logging, metrics, tracing) to monitor agent performance in real time.

• Collaborate with cross-functional teams to translate business needs into actionable ML tasks, and deploy, iterate, and scale AI orchestration systems into production.

• Define and drive MLOps best practices, including advanced containerization, model versioning, and monitoring.

• Stay at the forefront of machine learning research, adapting breakthroughs to production code.

• Optimize complex ML models and agents for extreme performance, scalability, and cost-efficiency.

• Serve as a technical expert and thought leader, influencing internal and external stakeholders.

• Apply deep learning to cutting-edge areas such as VR, AR, AI, and robotics.

• Drive AI-driven financial analysis for automated invoicing, payroll, and bank reconciliation.

What Skills & Experience You Should Have

• Master's or Ph.D. in Computer Science, Math, Engineering, Statistics, or a related quantitative field with 7 years of expert-level AI/ML experience.

• Proven track record as a Principal or Lead Machine Learning Engineer with extensive production-ready ML work.

• Proven expertise in multi-agent systems design and orchestration patterns implementation.

• Strong background in prompt engineering for LLMs, including advanced techniques to control and refine model behavior.

• High-level proficiency in C# for developing robust and scalable agentic workflows, 

• Hands-on experience with Semantic Kernel or similar framework for building agentic workflows.

• Deep expertise in generative AI models (e.g., LLMs, diffusion models) and their practical applications.

• Proficiency in Python (PyTorch, TensorFlow, Hugging Face) 

• Experience with LLM evaluation frameworks and methods for testing accuracy, safety, and fairness.

• Solid understanding of Azure AI services: Azure OpenAI, Speech, Cognitive Search, and related Cognitive Services.

• Good engineering practices: CI/CD, testing, version control, and cloud-based deployment.

• Solid grounding in data structures, advanced data modeling, and complex software architecture.

• Exceptional practical statistical sense, with a proven ability to design and conduct rigorous experiments.

• Superior algorithmic and problem-solving skills, capable of tackling unique and highly complex challenges.

• Proven ability to lead others to solve highly complex problems independently.

• Exceptional communication skills, capable of articulating complex ideas and influencing senior executive levels.

• Experience with Responsible AI principles (fairness, interpretability, transparency).

• Expertise in MLOps, AIOps, and integrating AI into DevOps pipelines.

• Extensive experience with computer vision techniques for image/drawing analysis.

• Experience with vector search technologies.

• Fluency in English is a must.

How to Apply: Please submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

Posting Date

Application Deadline: Applications could be accepted until at least 30 days from the posting date.

Join a Values-Driven Team: Belong, Grow, Innovate. 

At Trimble, our core values of Belong, Grow, and Innovate aren't just words—they're the foundation of our culture. We foster an environment where you are seen, heard, and valued (Belong); where you have an opportunity to build a career and drive our collective growth (Grow); and where your innovative ideas shape the future (Innovate). We believe in empowering local teams to create impactful strategies, ensuring our global vision resonates with every individual. Become part of a team where your contributions truly matter. 

Trimble’s Privacy Policy

If you need assistance or would like to request an accommodation in connection with the application process, please contact AskPX@px.trimble.com.