3 days ago
Monterrey, MexicoSenior
Responsibilities
- Design, build, deploy, and scale AI assistants and intelligent agents for engineering activities such as requirements analysis, design reviews, test creation, and technical documentation.
- Develop LLM, RAG, agent, tool-integration, and automation solutions using maintainable, secure, tested, and version-controlled code, prompts, and configurations.
- Rapidly prototype AI solutions, create reusable components and frameworks, conduct demonstrations and pilots, and assess feasibility and business value.
- Design evaluation frameworks and perform validation, regression testing, performance assessments, monitoring, and continuous improvement based on user feedback.
- Ensure human oversight, responsible AI practices, information security, intellectual property compliance, audit readiness, documentation, and traceability.
- Partner with engineering, data, IT, product, infrastructure, and leadership teams to define requirements, adoption strategies, training, and success criteria.
- Support production deployment, optimize operational costs, mentor junior engineers, and promote technical standards and knowledge sharing.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, Artificial Intelligence, Electronics, Mechatronics, or a related field.
- Master’s degree in AI, Data Science, Software Engineering, or a related discipline is preferred.
- At least 5 years of software engineering experience and at least 2 years of hands-on experience developing AI solutions using LLMs.
- Proven experience designing and implementing AI applications using RAG, agents, tool integration, and structured outputs.
- Advanced Python and SQL proficiency, with hands-on experience using Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangGraph, Microsoft Copilot Studio, or similar platforms.
- Experience evaluating AI solutions through testing frameworks, human reviews, regression testing, and performance assessments.
- Strong understanding of Git, APIs, CI/CD pipelines, containers, and cloud deployment.
- Experience with Microsoft Azure cloud technologies is preferred; familiarity with ASPICE, ISO 26262, automotive engineering processes, or responsible AI frameworks is a plus.
- Fluent English and Spanish, with strong communication, facilitation, presentation, collaboration, and mentoring skills.
Benefits
- Opportunities to work with cutting-edge AI technologies and enterprise-scale innovation initiatives.
- Career growth paths into advanced AI, software architecture, and technical leadership roles.
- Exposure to global engineering and technology organizations.
- Collaborative, inclusive, innovation-focused culture with mentorship, continuous learning, and professional development.
- Recognition for technical excellence, innovation, and business impact.
- Hybrid work model in Mexico based on business and project requirements, with occasional domestic and international travel and frequent global collaboration.
- Environment committed to diversity, inclusion, responsible AI, integrity, and continuous improvement.
Categories
About Clarios
Clarios manufactures low-voltage automotive batteries and energy-storage solutions for vehicle OEMs and the aftermarket, and is expanding into supercapacitors for data center and grid uses. The privately held company, headquartered in Glendale, Wisconsin, produces more than 150 million batteries a year, with products installed in roughly one in three vehicles worldwide. Its portfolio spans conventional flooded, AGM, and advanced 12‑volt systems supporting start‑stop, electrified, and auxiliary power needs.