{"id":1672863,"url":"https://alion.io/job/rewards-inc-ai-engineer","title":"AI Engineer","company":{"id":1914672,"name":"Excellus BlueCross BlueShield","domain":"excellusbcbs.com","url":"https://alion.io/company/excellusbcbs","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":75,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rochester, United States","Buffalo, United States","Albany, United States","United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":198000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":297},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Recommender Systems","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-10T00:00:00Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-12T01:54:46Z","board_verified":true,"closed_at":null,"days_open":32,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":32},"description":"Job Description:\nSummary\nThe AI Engineer is part of a highly collaborative team that develops cutting-edge machine learning (ML) and artificial intelligence (AI) models to solve complex business challenges and improve member health outcomes. In this role, you will work on high-impact projects involving advanced ML techniques, including large language models (LLMs) and generative AI. You’ll have the opportunity to experiment with state-of-the-art algorithms, push the boundaries of AI capabilities, and contribute to innovative solutions that drive real-world value.\nEssential Accountabilities\nLevel I\nDevelops Artificial Intelligence and Machine Learning solutions to solve business problems and improve member health outcomes, incorporating (but not limited to): Large language models (LLMs) and generative AI applications, machine learning models, natural language processing (NLP), optimization and mathematical programming and recommendation systems.\nBuilds and refines data pipelines for feature engineering and ML model input, ensuring efficient and scalable data handling.\nCollaborates with data engineering teams to acquire, clean, and prepare data for model training.\nSupports model evaluation, testing, and performance monitoring in pre-production environments.\nWorks within cloud-based ML platforms (e.g., Databricks) to develop and optimize AI models.\nUnderstands ML Operations principles and collaborates with CI/CD and ML Operations engineers for model deployment and monitoring.\nParticipates in peer code reviews and follows best practices for software development in AI.\nStays up to date with industry trends and new developments in AI/ML.\nDevelops and refines prompt engineering techniques for optimizing interactions with LLMs and generative AI applications.\nConsistently demonstrates high standards of integrity by supporting the Lifetime Healthcare Companies’ mission and values, adhering to the Corporate Code of Conduct, and leading to the Lifetime Way values and beliefs.\nMaintains high regard for member privacy in accordance with the corporate privacy policies and procedures.\nRegular and reliable attendance is expected and required.\nPerforms other functions as assigned by management.\nLevel II (in addition to Level I accountabilities):\nContributes to the AI/ML model lifecycle, ensuring reproducibility, scalability, and maintainability of solutions.\nWorks with stakeholders to translate business objectives into AI/ML formulations and measurable success criteria.\nOptimizes and fine-tunes ML models for performance, explainability, and efficiency.\nDevelops solutions using large language models (LLMs) and generative AI frameworks.\nSupports the integration of AI models with enterprise applications, APIs, or data pipelines.\nEngages in continuous learning and shares knowledge on new ML techniques and best practices.\nEnhances team efficiency through the adoption of automation tools for model training, evaluation, and monitoring.\nLevel III (in addition to Level II accountabilities):\nLeads the discovery and solutioning process, working with company stakeholders to identify high-impact AI opportunities.\nDesigns and implements scalable AI architectures that integrate with enterprise systems and support business operations.\nLeads initiatives related to large language models (LLMs) and generative AI, ensuring alignment with business needs.\nMentors junior team members and fosters a culture of engineering excellence.\nCollaborates with Operations and CI/CD teams to improve AI model deployment pipelines and monitoring strategies.\nRecommends and influences best practices for AI model governance, versioning, and compliance.\nEngages with leadership and cross-functional teams to align AI strategies with business goals.\nMinimum Qualifications:\nNOTE: We include multiple levels of classification differentiated by demonstrated knowledge, skills, and the ability to manage increasingly independent and/or complex assignments, broader responsibility, additional decision making, and in some cases, becoming a resource to others. In addition to using this differentiated approach to place new hires, it also provides guideposts for employee development and promotional opportunities.\nLevel I:\nBachelor's degree required; in lieu of a degree, six (6) years of relevant experience required.\nPrior professional, co-op, or internship experience developing AI/ML solutions, or relevant coursework.\nBasic understanding of fundamental ML concepts, algorithms, and statistical techniques.\nBasic experience working with databases, SQL, and data manipulation.\nStrong problem-solving skills and a willingness to learn.\nLevel II (in addition to Level I qualifications):\nHands-on professional experience developing ML models for real-world applications.\nIntermediate proficiency with cloud-based ML platforms (e.g., Databricks, AWS SageMaker, or Azure ML).\nIntermediate knowledge of model performance monitoring and optimization techniques.\nExperience working with large-scale data pipelines and distributed computing frameworks (e.g., Spark).\nFamiliarity with CI/CD and ML Ops/ LLM Ops principles to collaborate effectively with deployment teams.\nExperience working with large language models (LLMs) and generative AI technologies.\nAbility to present clear and concise technical concepts to both technical and non-technical stakeholders.\nLevel III (in addition to Level II qualifications):\nSignificant professional experience and knowledge in AI/ML engineering with a track record of developing models at scale.\nAdvanced proficiency in AI/ML model architecture, optimization, and explainability techniques.\nAdvanced experience integrating AI solutions with business applications and APIs.\nExtensive experience working with large language models (LLMs) and generative AI in production environments.\nAdvanced understanding of AI model lifecycle management, governance, and operationalization.\nLeadership experience in mentoring and guiding AI engineering best practices.\nStrong ability to engage with executives and business leaders to drive AI strategy.\nPhysical Requirements:\nAbility to orally communicate.\nMust be able to travel across the enterprise.\nAbility to work in a home office for continuous periods of time for business continuity.\n************\nIn support of the Americans with Disabilities Act, this job description lists only those responsibilities and qualifications deemed essential to the position.\nEqual Opportunity Employer\n Compensation Range(s):\nLevel I Min - 65,346 Max - 117,622\nLevel II Min - 79,068 Max - 142,322\nThe salary range indicated in this posting represents the minimum and maximum of the salary range for this position. Actual salary will vary depending on factors including, but not limited to, budget available, prior experience, knowledge, skill and education as they relate to the position’s minimum qualifications, in addition to internal equity. The posted salary range reflects just one component of our total rewards package. Other components of the total rewards package may include participation in group health and/or dental insurance, retirement plan, wellness program, paid time away from work, and paid holidays.\nPlease note: There may be opportunity for remote work within all jobs posted by the Excellus Talent Acquisition team. This decision is made on a case-by-case basis.\nAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.","description_format":"text","description_chars":7558,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Dental insurance","Equity","Home office","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Health Care","Health Insurance & Benefits"],"lifecycle":[{"event":"open","at":"2026-10-02T07:29:03Z"}],"visa":[],"liveness":{"score":68,"band":"ok","label":"Likely open","p_open":1,"p_active":0.903,"p_room":0.75,"age_days":30,"expected_fill_days":40,"reasons":["conf:4","velocity","win:late"],"computed_at":"2026-10-10T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/rewards-inc-ai-engineer","json_url":"https://alion.io/job/rewards-inc-ai-engineer.json","meta":{"generated_at":"2026-10-12T03:13:42Z","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":4958,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":1914672},"rest":"https://alion.io/mcp/rest/get_company?id=1914672"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frewards-inc-ai-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%2Frewards-inc-ai-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%2Frewards-inc-ai-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/rewards-inc-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frewards-inc-ai-engineer"}]}