{"id":3715392,"url":"https://alion.io/job/clarios-jr-ai-engineer","title":"Jr. AI Engineer","company":{"id":6276,"name":"Clarios","domain":"clarios.com","url":"https://alion.io/company/clarios","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":53,"ghost_share":0,"stale_share":0.792,"repost_share":0,"time_to_fill_p50_days":38,"computed_at":"2026-11-08T05:47:12Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Monterrey, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"UML","optional":false}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-08T11:25:37Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"The Role\nThe Jr. AI Engineer is part of the Engineering AI team within CT CTO Mexico and supports the development, testing, and continuous improvement of AI solutions that help engineers work faster and deliver higher-quality results. This role contributes to Clarios' AI transformation strategy by assisting in the creation of scalable AI tools, automation capabilities, and evaluation frameworks that improve engineering productivity and innovation.\nWhat You'll Do (Impact Areas)\nAI Solution Development\nDevelop and enhance AI prototype components, including prompts, retrieval workflows, integrations, and simple user interfaces.\nReuse and extend existing AI frameworks and templates following coding and version control standards.\nImplement enhancements and fixes based on user feedback and testing results.\nParticipate in demonstrations and pilot deployments with engineering teams. \nTesting & Solution Evaluation\nCreate and maintain test datasets to validate AI solution performance.\nExecute repeatable evaluations and measure solution accuracy, usefulness, and reliability.\nTrack user feedback and AI adoption metrics to support continuous improvement.\nPartner with Data Engineers to support data preparation, validation, and reporting activities. \nAutomation & Engineering Efficiency\nDevelop automation scripts to improve engineering workflows and document quality checks.\nAutomate repetitive activities related to prototyping, testing, and reporting.\nMaintain tested, documented, and version-controlled automation assets. \nDocumentation & User Enablement\nCreate user guides, release notes, solution documentation, and known limitation records.\nSupport engineering teams in effectively utilizing AI solutions.\nEscalate technical issues when appropriate and maintain solution traceability.\nEnsure compliance with responsible AI, information security, and data governance requirements. \nCollaboration & Continuous Learning\nCollaborate closely with AI Engineers, Data Engineers, and engineering stakeholders.\nParticipate in engineering reviews and feedback sessions.\nComplete development plans focused on AI engineering, software quality, and engineering processes.\nShare learnings and propose innovative ideas for future AI initiatives. \nWhat Success Looks Like\nSuccess in this role will be measured through a combination of technical execution, operational excellence, and professional growth:\nKey Performance Indicators (KPIs)\nAssigned AI development tasks delivered on time and approved through technical reviews.\nAI solutions supported with current test datasets and documented evaluation results.\nAutomation scripts successfully implemented and adopted by users.\nHigh-quality code demonstrated through positive reviews, adequate test coverage, and low defect rates.\nTimely support and resolution of user inquiries and issues.\nComplete and up-to-date documentation for each solution release. \nStrategic Outcomes\nIncreased adoption and trust of AI tools within engineering teams.\nImproved productivity through automation and AI-enabled workflows.\nReliable and scalable testing processes that support solution quality and continuous improvement. \nBehavioral Indicators\nDemonstrates ownership and accountability for assigned work.\nProactively seeks opportunities to learn and improve.\nBuilds credibility through responsiveness, collaboration, and quality execution.\nConsistently applies responsible AI and data governance practices. \nCore Competencies\nTechnical Competencies\nAI solution development fundamentals\nPrompt engineering and LLM application knowledge\nPython programming\nAutomation and scripting\nSoftware testing principles\nData analysis and evaluation methodologies\nVersion control and Git practices\nProfessional Competencies\nStructured problem-solving\nAttention to detail and quality focus\nLearning agility and continuous improvement mindset\nProject execution and task management\nCollaboration and teamwork\nWritten and verbal communication\nService orientation and customer focus\nIntegrity and responsible AI usage \nWhat You Bring (Qualifications)\nEducation\nBachelor's degree in Computer Science, Computer Engineering, Electronics, Mechatronics, Data Science, or a related field.\nRecent graduates are encouraged to apply. \nExperience\n0-2 years of experience in software development, AI, machine learning, or data science.\nInternship, academic, and personal project experience will be considered. \nTechnical Skills\nStrong Python programming skills.\nBasic knowledge of Git, SQL, APIs, and software development practices.\nExperience or exposure to Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), or AI Agents.\nUnderstanding of software testing concepts.\nFamiliarity with AI integration tools and object-oriented programming concepts.\nKnowledge of UML.\nExperience with Microsoft 365, Power BI, or Azure is preferred.\nFamiliarity with ASPICE or engineering quality standards is a plus. \nLanguages\nFluent Spanish.\nEnglish proficiency at B2 level or higher.\nIndustry Knowledge\nInterest in automotive technologies, electrification, battery systems, and engineering processes.\nWork Model & Travel\nLocation: Monterrey, supporting global CTO organizations.\nWork Arrangement: Hybrid work model based on business and team requirements.\nTravel: Occasional travel may be required for team collaboration, engineering workshops, or business meetings.\nGlobal Exposure: Regular collaboration with global engineering and AI stakeholders. \nOur Commitment to You\nAt Clarios, you'll have the opportunity to help shape how AI transforms engineering while building hands-on experience with cutting-edge technologies and real-world business challenges.\nWe are committed to providing:\nMeaningful career growth and a clear progression path toward AI Engineer and advanced technical roles.\nExposure to emerging AI technologies, large language models, and enterprise-scale innovation initiatives.\nA collaborative and inclusive environment that values diverse perspectives and continuous learning.\nMentorship from experienced AI and engineering professionals.\nOpportunities to contribute to global projects that impact engineering teams worldwide.\nRecognition for innovation, initiative, and business impact.\nA culture built on integrity, responsible AI practices, and continuous improvement.\nAbout Clarios:\nClarios is the global leader in advanced, low-voltage battery technologies for mobility. Our batteries and smart solutions power nearly every type of vehicle and are found in 1 of 3 cars on the road today. With around 18,000 employees in over 100 countries, we bring deep expertise to our Aftermarket and OEM partners, and reliability, safety and comfort to everyday lives. We answer to the planet with a rigorous sustainability focus - advancing best-in-class sustainability practices and advocating for them across our industry. We work to ensure 100% of our products sold are recyclable, and we recycle 8,000 batteries an hour in our network. You can find more information here (PDF).\nTo All Recruitment Agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.\nEqual Employment Opportunity:\nClarios, LLC is an equal employment opportunity and affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, status as a qualified individual with a disability, or any other characteristic protected by law. For more information, please view EEO is the Law, EEO is the Law (supplement), and Pay Transparency Non-discrimination. If you are an individual with a disability and you require an accommodation during the application process, please email .\nA Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. 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