{"id":46661,"url":"https://alion.io/job/vanguard-senior-aiml-engineer","title":"Senior AI/ML Engineer","company":{"id":253,"name":"The Vanguard Group","domain":"vanguard.com","url":"https://alion.io/company/vanguard","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":85,"ghost_share":0.059,"stale_share":0.506,"repost_share":0.212,"time_to_fill_p50_days":27,"computed_at":"2026-10-24T06:02:35Z"}},"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":"structured","locations":["Philadelphia, United States","Charlotte, United States","Malvern, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":142000,"max_usd":272000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1268},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-08-07","last_verified_at":"2026-10-22T02:34:46Z","board_verified":false,"closed_at":null,"days_open":78,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":78},"description":"Responsibilities\nDesign, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks\n\nDevelop multi-agent workflows and coordinate agent collaboration for complex tasks.\n\nBuild and optimize retrieval-augmented generation pipelines for knowledge-driven agents.\n\nContribute to the development and testing of robust, scalable agentic architectures and infrastructure.\n\nCollaborate with senior engineers and data scientists in feature development, experiments, and integration of research findings.\n\nParticipate in code reviews, testing, and documentation to ensure quality and reliability.\n\nRequired Skills & Experience\nMaster’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field.\n\n5-8 years of experience in AI/ML engineering or software development.\n\nSolid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).\n\nKnowledge of LLMs and agentic principles.\n\nVanguard Internal Use Only\nExperience with vector databases, data pipelines, and retrieval systems.\n\nStrong problem-solving skills and eagerness to learn new AI techniques and frameworks.\n\nPreferred Qualifications\nHands-on experience with agentic frameworks.\n\nFamiliarity with AWS cloud platforms and MLOps tools.\n\nContributions to open-source AI/ML projects or agentic frameworks.\n\nExperience in building autonomous agents, RAG systems, or multi-agent workflows.\n\nSpecial Factors\nSponsorship\nVanguard is not offering visa sponsorship for this position.About Vanguard\nAt Vanguard, we don't just have a mission-we're on a mission.\nTo work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.\nHow We Work\nVanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. 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