{"id":2285163,"url":"https://alion.io/job/borgwarner-ai-automation-engineer","title":"AI & Automation Engineer","company":{"id":1770939,"name":"BorgWarner","domain":"borgwarner.com","url":"https://alion.io/company/borgwarner","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":12,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bucharest, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"GCP","optional":false},{"name":"OpenAI","optional":false},{"name":"Power Apps","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"UiPath","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"Azure Data Factory","optional":true},{"name":"C#","optional":true},{"name":"ETL/ELT","optional":true},{"name":"JavaScript","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-08-20","last_verified_at":"2026-10-12T09:05:45Z","board_verified":true,"closed_at":null,"days_open":53,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":53},"description":"As an AI & Automation Engineer, you will join the Data Analytics team within BorgWarner’s TTT (Turbos & Thermal Technologies) Business Unit, working closely with business stakeholders, Corporate Center of Excellence teams, and external developers. You will be hands on in designing, developing, and deploying AI driven automation solutions and intelligent workflows, covering the full lifecycle from solution design to implementation and scaling across the organization.We are seeking an experienced engineer with a strong background in Artificial Intelligence, Automation, and Digital Transformation to build robust, scalable solutions that optimize and modernize business processes.\nThe individual in this position has hands-on expertise with Microsoft Copilot, Power Automate, Power Apps, UiPath, and Azure AI Services or an equivalent from other providers like Amazon Bedrock Agents, Vertex AI Agent Builder, combined with strong data engineering and analytical capabilities.\nThis position plays a critical role in advancing digital transformation by enabling AI supported workflows, automation pipelines, and AI agents that support day to day business operations.\nAdditional responsibilities in this role are providing technical guidance and ensuring the stability and integrity of existing AI and automation solutions.\nA broad and comprehensive knowledge of business processes will be beneficial.\nPOSITION ACCOUNTABILITIES\nDesign, build, and deploy automation solutions using Power Automate, Power Apps, UiPath, and Copilot or Azure AI Services (Azure OpenAI, Cognitive Services, Document Intelligence, etc.).\nDevelop and operationalize AI agents, task automation, and workflow orchestration across departments.\nCreate end-to-end process automation pipelines, integrating data, APIs, RPA, AI models, and user interfaces.\nAnalyze business requirements and translate them into scalable, secure, and maintainable automation solutions.\nEvaluate existing processes and identify opportunities for automation and AI enablement.\nEnsure reliability, resilience, and monitoring of automation solutions.\nProvide technical guidance and best practices to business stakeholders and citizen developers.\nWork closely with cross-functional teams like IT, Operations, Finance, Supply Chain, and Sales to understand business needs.\nSupport adoption of AI & Automation solutions by providing training, documentation, and user guidance.\nContribute to the organization's automation strategy, architecture, and governance framework.\nDefining Data integration and data storage strategies\nCreate and maintain comprehensive project documentation (project charters and effective project plans), including report outs to management on project status\nIdentify ways to improve data reliability, efficiency and quality\nUse data to discover tasks that can be automated and research new uses for existing data\nCommunicate AI and Automation trends to others in the organization and to help the business to identify use cases\nCollaborate with members of global IT team (e.g. data architects, data scientists and the infrastructure team) on the project's goals\nCollaborate closely with third parties/vendors for the flawless execution of projects\nAssist business stakeholders across all levels in the definition of project scope and objectives and negotiate with the stakeholders to prevent scope creep\nInvest time in fully understanding business processes and departmental/organizational goals\nAsk challenging questions around business value and return-on-investment imperatives\nDevelop Proof of Values with business to create scalable business value\nIdentify project risks and issues with passion.\nTake responsibility for the overall success of assigned projects\nPOSITION COMPETENCIES (10 most important)\nData Engineering Automation Expertise\nAction Oriented Strong business acumen\nCollaboration and Teamwork Dealing with Ambiguity\nProject Management Problem Solving and Troubleshooting\nDrive for Results Learning Agility\nEDUCATION/EXPERIENCE QUALIFICATIONS\nBachelor’s or Master’s degree in Computer Science, Data Science, Information Systems or a related field, or equivalent experience\n3-5 years + of related experience with automation development and AI/ML solutions or an equivalent combination of relevant practical experience\nStrong enthusiasm and implementation experience for Artificial Intelligence, AI Agents, Automation, and Digital Transformation, with hands-on or academic experience\nStrong understanding of Large Language Models (LLMs), generative AI concepts, prompt engineering, and AI-assisted workflows\nInterest or initial exposure to cloud-based AI services, such as: Google Cloud AI / Vertex AI or AWS AI & ML services (e.g., Amazon Bedrock, SageMaker, Lambda for automation scenarios)\nProgramming knowledge in Python, SQL, or R, ideally applied to data analysis, automation, or AI-related tasks\nFamiliarity with REST APIs, data integration concepts, or workflow orchestration is a must\nExperience or strong interest in Data Analytics, with hands-on exposure to Power BI considered a plus\nExperience working in cross-functional business environments with rapid solution deployment.\nDemonstrated success in leading automation initiatives from concept through implementation.\nProject management experience, with a focus on AI and Automation projects, preferred\nSkills and Abilities\nDeep knowledge of Power Platform (Power Automate, Power Apps, Power BI, Copilot).\nKnowledge of Azure services (Azure AI, Azure Data Factory; Azure Functions/Azure Foundry is a plus).\nExperience with UiPath or similar RPA tools.\nStrong understanding of cloud technologies (Azure, AWS).\nProficiency in one or more languages: SQL, Java, Python, R, C#, PowerFx, JavaScript/TypeScript.\nExperience with REST APIs, JSON, OAuth, and integration patterns.\nUnderstanding of ETL/ELT, data warehousing concepts, and data modeling.\nPreferred certifications:Microsoft Power Platform Developer / Solution Architect\nUiPath RPA Developer\nAzure AI Engineer or Azure Data Engineer\n\nAnalytical thinking: Ability to break down complex processes and identify automation opportunities.\nProblem-solving mindset: Creativity in building solutions that simplify and accelerate workflows.\nCommunication skills: Ability to translate technical concepts into business language.\nStakeholder management: Confident in engaging with business leaders and guiding decision-making.\nAdaptability & curiosity: Comfortable learning new technologies and adapting to evolving environments.\nCollaboration: Strong team player who works effectively with IT, business users, and management with a positive can-do attitude\nProactive attitude: Self-driven, organized, and committed to continuous improvement.\n-Internal Use Only: SalaryGlobal Terms of Use and Privacy Statement\nCarefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms.\nPlease access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.\nCareer Scam Disclaimer: BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. 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