{"id":3715391,"url":"https://alion.io/job/clarios-ai-engineer","title":"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":35,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Monterrey, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Git","optional":false},{"name":"LangGraph","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-03T00:00:00Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-07T01:04:45Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"The Role\nThe AI Engineer is part of the Engineering AI team within CT CTO Mexico and is responsible for designing, developing, and scaling AI solutions that help engineers work faster, improve quality, and increase productivity across the product development lifecycle. This role transforms engineering challenges into practical AI assistants, agents, and automation solutions that deliver measurable business value while maintaining the highest standards of quality, safety, security, and responsible AI. Additionally, the AI Engineer serves as a technical mentor and subject matter expert for junior team members.\nWhat You'll Do (Impact Areas)\nAI Solution Design & Development\nDesign, build, and deploy AI assistants and intelligent agents that support engineering activities such as requirements analysis, design reviews, test creation, and technical documentation.\nDevelop solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agent frameworks, and automation technologies.\nCreate scalable architectures that combine AI capabilities with traditional software engineering approaches.\nDevelop maintainable, secure, tested, and version-controlled code, prompts, and configurations. \nRapid Prototyping & Innovation\nConvert engineering ideas into working prototypes within days.\nBuild reusable AI components, templates, connectors, and frameworks that accelerate future development.\nConduct demonstrations, pilot programs, and user validation sessions with engineering stakeholders.\nEvaluate prototype feasibility and guide go/no-go decisions using data and business value assessments. \nQuality, Evaluation & Continuous Improvement\nDesign and execute evaluation frameworks to measure AI solution performance.\nMonitor key quality metrics including accuracy, consistency, useful output rates, and false-alarm rates.\nConduct validation, regression testing, and performance assessments following engineering quality standards.\nContinuously improve deployed solutions through user feedback, monitoring, and analysis. \nResponsible AI, Security & Compliance\nEnsure AI solutions operate under human oversight and maintain engineers as final decision-makers.\nDocument testing methodologies, limitations, version history, and quality evidence.\nMaintain compliance with information security, intellectual property, and responsible AI requirements.\nSupport audit readiness through proper documentation and traceability.\nCollaboration, Adoption & Change Management\nPartner with engineering teams to identify opportunities for AI-enabled productivity improvements.\nCo-develop success criteria, requirements, and adoption strategies for AI solutions.\nDeliver user training, workshops, and enablement activities.\nWork closely with Data Engineers, IT teams, product development groups, and leadership stakeholders. \nBusiness Value & Technical Leadership\nContribute technical assessments for business cases, including feasibility, cost, effort, and projected value.\nSupport production deployment activities in collaboration with IT and infrastructure teams.\nOptimize operational costs of AI solutions.\nMentor junior engineers and promote best practices, standards, and knowledge sharing across the organization. \nWhat Success Looks Like\nKey Performance Indicators (KPIs)\nRapid delivery of prototypes from approved ideas to functional solutions.\nAI solutions achieving agreed targets for accuracy, quality, consistency, and usefulness.\nHigh adoption rates and active usage across engineering teams.\nSuccessful expansion of AI solution capabilities based on validated performance.\nReduced engineering effort through automation and AI-assisted workflows.\nCost-effective operation and maintenance of AI solutions.\nIncreased reuse of shared frameworks, templates, and components. \nStrategic Outcomes\nMeasurable productivity improvements across engineering teams.\nTrusted AI assistants and agents integrated into engineering workflows.\nStrong alignment between AI initiatives and business objectives.\nSustainable AI governance through responsible AI practices and quality controls.\nSuccessful transition of validated prototypes into scalable production solutions. \nBehavioral Indicators\nRecognized as a trusted technical advisor for AI-related initiatives.\nDemonstrates ownership, accountability, and execution excellence.\nMakes data-driven decisions supported by evidence and measurable outcomes.\nBuilds strong collaborative relationships with stakeholders across functions.\nActively mentors others and promotes continuous learning within the team. \nCore Competencies\nTechnical Competencies\nAI and software engineering expertise\nLarge Language Models (LLMs), RAG, and AI agent architectures\nPython and SQL development\nCloud-based AI platforms and deployment\nSoftware testing and evaluation methodologies\nAPI integrations, CI/CD, containers, and version control\nAI governance and responsible AI principles\nLeadership & Professional Competencies\nStrategic thinking and solution design\nProject execution and prioritization\nData-driven decision-making\nAnalytical rigor and problem-solving\nCross-functional collaboration\nCommunication and stakeholder influence\nCoaching and mentoring\nOwnership and accountability\nUser empathy and customer-centric mindset\nIntegrity, confidentiality, and professional judgment \nWhat You Bring (Qualifications)\nEducation\nBachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence, Electronics, Mechatronics, or a related field.\nMaster's degree in AI, Data Science, Software Engineering, or a related discipline is preferred. \nExperience\n5+ years of software engineering experience.\n2+ years of hands-on experience developing AI solutions using Large Language Models.\nProven experience designing and implementing AI applications utilizing RAG, agents, tool integration, and structured outputs.\nExperience working within engineering-intensive or regulated environments is preferred. \nTechnical Skills\nAdvanced Python and SQL proficiency.\nHands-on experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangGraph, Microsoft Copilot Studio, or similar AI platforms.\nExperience evaluating AI solutions through testing frameworks, human reviews, and regression testing.\nStrong understanding of Git, APIs, CI/CD pipelines, containers, and cloud deployment.\nAbility to translate engineering requirements into practical AI solutions.\nExperience with Microsoft Azure cloud technologies preferred.\nFamiliarity with ASPICE, ISO 26262, automotive engineering processes, or responsible AI frameworks is considered a plus. \nLanguages\nFluent English and Spanish.\nStrong communication, facilitation, and presentation skills. \nWork Model & Travel\nLocation: Mexico, supporting global CTO engineering organizations.\nWork Arrangement: Hybrid work model based on business and project requirements.\nTravel: Occasional domestic and international travel may be required for workshops, collaboration sessions, and business needs.\nGlobal Exposure: Frequent collaboration with global engineering, AI, and technology teams. \nOur Commitment to You\nAt Clarios, you'll help shape the future of AI-driven engineering by developing innovative solutions that directly impact global product development and technology teams.\nWe are committed to providing:\nOpportunities to work on cutting-edge AI technologies and enterprise-scale innovation initiatives.\nCareer growth paths into advanced AI, software architecture, and technical leadership roles.\nExposure to global engineering and technology organizations.\nA collaborative, inclusive, and innovation-focused culture.\nMentorship, continuous learning, and professional development opportunities.\nRecognition for technical excellence, innovation, and business impact.\nAn environment committed to diversity, inclusion, responsible AI, integrity, 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. Clarios will never require a job applicant to pay money as part of the application or hiring process.","description_format":"text","description_chars":9702,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Spanish","level":"Advanced (C1)","optional":false},{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning","Hybrid work","Professional development"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Energy Storage","Automotive Components"],"lifecycle":[{"event":"open","at":"2026-11-04T00:34:24Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":4,"expected_fill_days":35,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/clarios-ai-engineer","json_url":"https://alion.io/job/clarios-ai-engineer.json","meta":{"generated_at":"2026-11-07T10:05:37Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8614,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6276},"rest":"https://alion.io/mcp/rest/get_company?id=6276"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fclarios-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fclarios-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fclarios-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/clarios-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fclarios-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3715391}},{"tool":"search_jobs","arguments":{"company":"clarios.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3715391},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}