{"id":1449168,"url":"https://alion.io/job/navitus-engineer-enterprise-ai","title":"Engineer, Enterprise AI","company":{"id":1890324,"name":"Navitus","domain":"navitus.com","url":"https://alion.io/company/navitus","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["United States"],"countries":["US"],"hiring_countries":["US","IN"],"hiring_countries_total":2,"salary":{"min":105271,"max":150000,"currency":"USD","period":"year","gross":null,"usd_annual":150000},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"C#","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-29T07:22:22Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-22T05:44:12Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Company\nNavitusAbout Us\nNavitus - Putting People First in Pharmacy - Navitus was founded as an alternative to traditional pharmacy benefit manager (PBM) models. We are committed to removing cost from the drug supply chain to make medications more affordable for the people who need them. At Navitus, our team members work in an environment that celebrates diversity, fosters creativity and encourages growth. We welcome new ideas and share a passion for excellent service to our customers and each other._____________________________________________________________________________________________________________________________________________________________________________________________________________. Current associates must use SSO login option at https://employees-navitus.icims.com/ to be considered for internal opportunities. ____________________________________________________We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.Pay Range\nUSD $105,271.00 - USD $150,000.00 /Yr.STAR Bonus % (At Risk Maximum)\n7.50 - Salaried Non-Management except pharmacistsWork Schedule Description (e.g. M-F 8am to 5pm)\nM-F: 8:00 am - 5:00 pmRemote Work Notification\nATTENTION: Navitus is only able to offer remote work to residents of Alabama, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nebraska, Nevada, New Jersey, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Washington DC, Wisconsin.Overview\nDue to growth, we are adding a Engineer, Enterprise AI to our team!\nThe Engineer, Enterprise AI is responsible for designing, building, and operationalizing enterprise AI capabilities that enable the scalable adoption of Artificial Intelligence and Agentic AI across the organization. Working closely with the Enterprise AI Architect, this role translates enterprise AI architecture, patterns, and governance standards into implementable solutions and reusable technical components while partnering with Enterprise Architecture, Platform Engineering, Data Engineering, and Product teams to develop AI services, integrations, and operational frameworks that support generative AI, machine learning, and agentic workflows. The Engineer ensure AI solutions are implemented in alignment with enterprise architecture standards, security requirements, and regulatory compliance while enabling teams across the organization to safely and effectively leverage AI technologies to deliver business value.\nIs this you? Find out more below!\nResponsibilities\nHow do I make an impact on my team?\nDesign, build, and maintain enterprise AI solutions and services that enable the scalable adoption of generative AI, machine learning, and agentic AI capabilities across the organization.\nImplement enterprise AI architecture patterns and technical standards defined by the Enterprise AI Architect, translating reference architectures and design patterns into production-ready solutions.\nDevelop and support AI integration patterns that connect AI capabilities with enterprise applications, APIs, data platforms, and cloud services.\nBuild and maintain AI-enabled services and components, including model interfaces, orchestration services, agent frameworks, and reusable AI tooling for enterprise teams.\nSupport the implementation of Agentic AI workflows, including orchestration, tool integration, context management, and human-in-the-loop capabilities.\nImplement and maintain AI operational capabilities (MLOps/LLMOps) including model deployment pipelines, monitoring, observability, lifecycle management, and operational controls.\nEnsure AI solutions align with enterprise AI governance, responsible AI standards, and regulatory requirements, including data privacy, auditability, and model transparency.\nSupport AI platform development and enablement, working with Platform Engineering and Data Engineering teams to deploy, scale, and maintain enterprise AI infrastructure and tooling.\nOther duties as assigned.\nQualifications\nWhat our team expects from you?\nBachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, or a related technical field, or equivalent work experience, required. \nCertification/Licenses:AWS Certified Solutions Architect - Associate, AWS Machine Learning - Specialty, or equivalent cloud-based AI/ML certification preferred.\nMLOps, AI platform engineering, or machine learning engineering certification preferred.\nResponsible AI, AI governance, or AI ethics training/certification preferred.\n\n6-8 years of experience in software development, platform engineering, or machine learning engineering, including a minimum of 2-4 years of hands-on experience developing, integrating, or operationalizing Artificial Intelligence and Machine Learning solutions in production environments, required.\nExperience building or supporting AI-enabled applications, data pipelines, model integrations, or AI platform components within cloud or distributed systems environments required.\nExperience implementing AI integration patterns that connect AI capabilities with enterprise applications, APIs, data platforms, and cloud services required.\nExperience developing or supporting generative AI and agentic AI workflows, including orchestration frameworks, tool integrations, context management, Model Context Protocol (MCP) servers or similar context services, and human-in-the-loop patterns to support governed AI decision-making, required.\nExperience implementing or supporting AI operational practices (MLOps/LLMOps) including model deployment pipelines, monitoring, observability, lifecycle management, and operational controls, required.\nExperience working within enterprise architecture standards and development frameworks, ensuring solutions aligned with architectural guardrails, security requirements, and platform standards required.\nExperience supporting AI governance and responsible AI practices, including data privacy, model transparency, auditability, and compliance with enterprise and regulatory standards required.\nExperience collaborating with architecture, engineering, data, and product teams to design and implement scalable AI-enabled solutions required.\nExperience developing and supporting cloud-based services, APIs, and distributed systems that enable scalable AI capabilities and enterprise platform integrations required.\nStrong development experience in modern programming languages, including Python, C#, or similar backend languages used for AI services and integrations required.\nProven ability to interview end-users for insight on functionality, interface, problems, and/or usability issues required.\nKnowledge of PBM systems, claims adjudication processes, and data exchange patterns between payers, providers, and pharmacies preferred.\nParticipate in, adhere to, and support compliance program objectives.\nThe ability to consistently interact cooperatively and respectfully with other employees.\nWhat can you expect from Navitus?\nTop of the industry benefits for Health, Dental, and Vision insurance \n20 days paid time off \n4 weeks paid parental leave \n9 paid holidays \n401K company match of up to 5% - No vesting requirement \nAdoption Assistance Program \nFlexible Spending Account \nEducational Assistance Plan and Professional Membership assistance \nReferral Bonus Program - up to $750! 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