{"id":201774,"url":"https://alion.io/job/magna-ai-developer-digital-enterprise","title":"AI Developer, Digital Enterprise","company":{"id":94374,"name":"Magna","domain":"magna.com","url":"https://alion.io/company/magna-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":341,"ghost_share":0,"stale_share":0.93,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"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":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GDPR","optional":false},{"name":"GitLab","optional":false},{"name":"GitLab CI","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NLP","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-21T00:00:00Z","employer_posted_date":"2026-08-21","last_verified_at":"2026-10-17T04:31:49Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Job descriptions may display in multiple languagesbased on your language selection.\nWhat we offer:\nAt Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.\nGroup Summary:\nMagna is more than one of the world’s largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-mindedteam. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.\nJob Responsibilities:\nWe are seeking a highly skilled AI Developer to join our team and drive the design, implementation, and scaling of advanced AI solutions. This role combines in-depth coding expertise with a strong systems engineering mindset: you’ll own the execution of end-to-end AI platform lifecycle-from infrastructure, and MLOps pipelines to production deployment and ongoing performance optimization. You’ll collaborate closely with solutions architects, data scientists, DevOps engineers, and product owners to turn models into reliable, secure, and maintainable services at enterprise scale.\n Major Responsibilities\nDesign, build, and maintain AI/ML platform components (training clusters, feature stores, inference services, GenAI, vision, RAG, NLP).\n\nDevelop and manage infrastructure-as-code for scalable deployments (Terraform, ARM template)\n\nImplement and operate CI/CD pipelines for automated model training, testing, and deployment\n\nIntegrate AI services with existing systems via APIs, messaging, and data pipelines\n\nMonitor performance, reliability, and model drift; establish alerting and incident-response runbooks.\n\nOptimize system performance through capacity planning, performance tuning, and disaster-recovery strategies\n\nWrite, and maintain high-quality, reusable code and libraries (C#, Python, Java)\n\nCollaborate with cross-functional teams (Architect, Data Science, DevOps, Security) and document system designs and SOPs.\n\nKnowledge and Education\nBachelor’s or Master’s degree in Computer Science, Electrical/Computer Engineering, or related field\n\nWork Experience\n3+ years in software engineering roles, with 2+ years building and operating AI/ML platforms\n\nProven track record delivering production-grade AI services at scale\n\nSkills and Competencies Required to Perform the Job\nCloud Platforms: Proficiency with various cloud platform services for compute, storage, and networking (e.g. AWS, Azure etc.)\n\nContainerization & Orchestration: Hands-on experience with Docker, Kubernetes, Helm\n\nStrong skills and knowledge in distributed system architecture, integration, software design patterns, and object-oriented programming concepts and patterns. (Microservices, Monolith, Modular Monolith, containerized applications, etc.)\n\nMLOps: Building and managing pipelines using GitLab CI, Argo CD, MLflow\n\nProgramming Languages: Advanced Python (including async and multithreading); familiarity with C#, Python, or Java.\n\nLLM Application & Agent Frameworks: Experience designing and implementing RAG/agentic workflows using LangChain and LangGraph (tooling, chaining, memory, orchestration)\n\nMachine Learning Frameworks: Deep knowledge of TensorFlow, PyTorch, scikit-learn\n\nData Engineering: Experience with Kafka, Azure Data Factory, Databricks, and Beam for data ingestion and processing\n\nMonitoring & Observability: Implementing observability stacks (Azure Monitor, Prometheus, Grafana, ELK) and alerting\n\nSecurity & Compliance: Securing data pipelines, understanding of GDPR/CCPA implications\n\nCross-Functional Collaboration: Effectively partner with Data Science, DevOps, Security, and Product teams\n\nTechnical Documentation: Clear authoring of runbooks, SOPs, and API specs\n\nStakeholder Communication: Translating technical concepts into business terms for executives and non-technical audiences\n\nPresentation Skills: Leading demos, technical deep dives, and knowledge-sharing sessions\n\nContinuous Learning: Staying current with emerging AI/ML, MLOps, and platform engineering trends\n\nWorking Conditions and Environment\nNo Travel\nAny Additional Information\nExcellent English in both spoken and written.\n\nExcellent problem-solving and decision-making abilities.\n\nStrong communication skills and the ability to lead cross-functional teams.\n\nAwareness, Unity, Empowerment:\nAt Magna, we believe that a diverse workforce is critical to our success. That’s why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.\nAI-Assisted Screening Disclosure\nAs part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.\nUnder conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.\nIf you have any questions or concerns about this process, feel free to contact our Talent Attraction team.\nWorker Type:\nRegular / PermanentGroup:\nMagna Corporate","description_format":"text","description_chars":6313,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Manufacturing","Automotive Manufacturing"],"lifecycle":[{"event":"open","at":"2026-09-04T15:40:51Z"}],"visa":[],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.342,"p_room":0.36,"age_days":57,"expected_fill_days":37,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/magna-ai-developer-digital-enterprise","json_url":"https://alion.io/job/magna-ai-developer-digital-enterprise.json","meta":{"generated_at":"2026-10-18T05:53:27Z","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":8793,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":94374},"rest":"https://alion.io/mcp/rest/get_company?id=94374"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmagna-ai-developer-digital-enterprise"},{"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%2Fmagna-ai-developer-digital-enterprise"},{"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%2Fmagna-ai-developer-digital-enterprise"},{"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/magna-ai-developer-digital-enterprise\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmagna-ai-developer-digital-enterprise"}]}