{"id":597130,"url":"https://alion.io/job/ge-vernova-ai-engineer","title":"AI Engineer","company":{"id":6165,"name":"GE Vernova","domain":"gevernova.com","url":"https://alion.io/company/ge-vernova","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":423,"ghost_share":0.007,"stale_share":0.645,"repost_share":0.04,"time_to_fill_p50_days":27,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":70400,"max":105600,"currency":"USD","period":"year","gross":null,"usd_annual":105600},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"AI Agents","optional":true},{"name":"Docker","optional":true},{"name":"Hugging Face","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"MLFlow","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"PyTorch","optional":true},{"name":"RAG","optional":true},{"name":"Rest API","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-10T16:13:19Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-29T10:36:35Z","board_verified":true,"closed_at":null,"days_open":49,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":49},"description":"Job Description Summary\nAs an entry-level AI Engineer, you will help design, build, integrate and operate AI-enabled applications for engineering and industrial use cases. You will work across software, machine learning and data interfaces, partnering with Data Scientists, Data Engineers, software teams and domain experts. This role is designed for a recent graduate who enjoys building working systems, learning new technologies and turning prototypes into maintainable solutions.Job Description\nWhat You Will Do\nBuild and test AI-enabled applications, APIs, model services, automation workflows and user-facing tools under guidance from experienced engineers.\nIntegrate machine-learning or generative-AI capabilities with approved data sources, engineering tools and enterprise platforms.\nTranslate Data Scientist prototypes into modular, readable and testable software components.\nImplement evaluation, validation, logging, monitoring and feedback mechanisms so solution quality and reliability are visible.\nUse Git, code reviews, automated testing, documentation and continuous integration practices to support maintainable delivery.\nPackage and deploy workloads using approved cloud, container and orchestration patterns; troubleshoot issues across development and test environments.\nImprove model or workflow performance through experimentation, prompt or retrieval design, optimization and careful measurement.\nCollaborate with end users and subject-matter experts to make AI tools useful in day-to-day engineering workflows.\nFollow cybersecurity, privacy, intellectual property, software quality and Responsible AI requirements throughout the lifecycle.\nShare reusable components, lessons learned and technical documentation with the broader AI engineering community.\nRequired Qualifications\nBachelor's degree completed by the start date in Computer Science, Software Engineering, Computer Engineering, Data Science, Engineering, Applied Mathematics or a related technical field.\nProgramming experience in Python and familiarity with at least one additional language or software-development ecosystem.\nFoundational understanding of machine learning, data structures, algorithms, APIs and software testing.\nExperience using Git and building a working software or AI project through coursework, research, internships, co-ops, hackathons, open-source work or an independent portfolio.\nAbility to diagnose technical problems, learn unfamiliar tools and communicate tradeoffs clearly.\nDemonstrated teamwork, ownership, curiosity and attention to quality.\nPreferred Qualifications\nExposure to PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, Semantic Kernel or comparable AI frameworks.\nExposure to retrieval-augmented generation, AI agents, vector search, model evaluation or prompt engineering.\nFamiliarity with SQL, REST APIs, cloud services, Docker, Kubernetes, CI/CD, MLflow or observability tools.\nExperience with distributed or GPU computing, optimization, surrogate models, simulation workflows or scientific computing.\nInterest in renewable energy, industrial software, physical systems, manufacturing or engineering applications.\nGE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.\nGE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).\nRelocation Assistance Provided: Yes\nFor candidates applying to a U.S. based position, the pay range for this position is between $70,400.00 and $105,600.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.Bonus eligibility: discretionary annual bonus.This posting is expected to remain open for at least seven days after it was posted on September 10, 2026.Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. 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