{"id":1353911,"url":"https://alion.io/job/the-hartford-sr-ai-machine-learning-engineer","title":"Sr AI Machine Learning Engineer","company":{"id":1760358,"name":"The Hartford","domain":"thehartford.com","url":"https://alion.io/company/thehartford-com","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":79,"open_postings":29,"ghost_share":0,"stale_share":0.828,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-19T05:45:15Z"}},"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":["Hartford, United States","Charlotte, United States","Columbus, United States","Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":117200,"max":175800,"currency":"USD","period":"year","gross":null,"usd_annual":175800},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"GCP","optional":false},{"name":"Jenkins","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-06-12T00:00:00Z","employer_posted_date":"2026-06-12","last_verified_at":"2026-10-19T02:50:24Z","board_verified":true,"closed_at":null,"days_open":129,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":129},"description":"Sr Data Engineer - GE07BEWe’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.\nThe Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team.\nThe Hartford is developing industry-leading AI and machine learning capabilities to improve the various facets of the Global Specialty underwriting experience. On the Global Specialty Applied AI team, we utilize the latest AI products and frameworks to accelerate the processes that our partners touch day to day and advance the speed and intelligence with which we make our decisions. As a Senior Machine Learning AI Engineer, you will play a critical role in designing, building, and operationalizing production-grade AI solutions-partnering closely with product, engineering, and platform leaders to deliver measurable impact.\nOur core values\nWe build AI solutions, not models. We are thoughtful in supporting the end-to-end business problem, with an eye to systems design.\nWe are trusted and transparent. We collaborate tightly with our partners and are mindful of their capacity to absorb change.\nWe provide assets that are safe to buy. Our products are delivered with a full monitoring solution to ensure our products continue to deliver as expected.\nWe will earn the right to influence. With humble confidence, we listen carefully to learn from our customers and become partners in problem solving.\nWe are practical and evolutional. We first deliver a minimally viable product and over time expand its sophistication based on feedback.\nResponsibilities\nResearch, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.\nParticipate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.\nReview work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.\nAccountable for deployment design, development and maintenance of both traditional ML and AI models. \nWork with junior engineers and peers to provide mentorship and thought leadership. Be comfortable presenting new concepts to technical audiences.\nCollaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams\nDelivery of critical milestones for model deployment in the AWS and GCP clouds.\nAdopt and promote MLOps best practices to the Data Science community.\nMinimum Requirements\n Must be authorized to work in the U.S. now and in the future.\nMaster’s degree in related field or 5+ years of equivalent experience in a research or DevOps function.\nDevelopment experience developing solutions within AWS, GCP or both. \nExperience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.\nExperience building and deploying API services within the Cloud. \nExperience building CICD pipeline using Jenkins or equivalent\nExperience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents\nExperience in Unix, git, and strong object oriented development experience using Python \nExperience in end to end model development lifecycle, from ideation through post production monitoring.\nExperience with workflow automation platforms (Apache Airflow, Autosys, similar)\nBasic understanding of Data Science model development life cycle\nFamiliarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes\nThis role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).\nCandidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.\nCompensation\nThe listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:\n$117,200 - $175,800Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/SexualOrientation/Gender Identity or Expression/Religion/Age\nAbout Us | Our Culture | What It’s Like to Work Here | Perks & Benefits","description_format":"text","description_chars":4958,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual bonuses","Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Property & Casualty Insurance","Pet Food, Supplies & Care"],"lifecycle":[{"event":"open","at":"2026-09-27T21:19:15Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.276,"p_room":0.28,"age_days":129,"expected_fill_days":27,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":{"stated_usd_annual":175800,"is_top_pay":false},"html_url":"https://alion.io/job/the-hartford-sr-ai-machine-learning-engineer","json_url":"https://alion.io/job/the-hartford-sr-ai-machine-learning-engineer.json","meta":{"generated_at":"2026-10-19T11:48:54Z","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":8389,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"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":1760358},"rest":"https://alion.io/mcp/rest/get_company?id=1760358"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthe-hartford-sr-ai-machine-learning-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%2Fthe-hartford-sr-ai-machine-learning-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%2Fthe-hartford-sr-ai-machine-learning-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/the-hartford-sr-ai-machine-learning-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthe-hartford-sr-ai-machine-learning-engineer"}]}