• Designing and evolving Trader Interactive’s AI platforms and reference architectures • Connecting data, machine learning, and large language models into real products that help buyers and sellers of RVs, boats, powersports, airplanes, trucks, and equipment • Evaluating and selecting AI tooling and platforms (LLMs, vector stores, feature stores, orchestration, observability) • Providing technical mentorship to data scientists and engineers through design reviews, pairing on critical paths, and clear architectural documentation • Continuously scanning the AI landscape and recommending technologies that improve product performance, developer velocity, or cost • Partnering with Security, Legal, and Compliance to define and enforce responsible AI guardrails • Designing AI solutions that run reliably in production • Implementing the systems and processes needed to manage model lifecycle • Collaborating across Product, Engineering, Analytics, and Sales to turn fuzzy ideas into concrete AI use cases

Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us — and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. Make an impact — from near or far At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming. We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states. The opportunity The AI Architect will report to the Vice President of Technology and Business Enablement. In this role, you will be a business and expert who guides the design, implementation, and governance of AI-powered solutions across the university's digital ecosystem. You will align AI capabilities with institutional strategy, technology roadmaps, and business priorities. You'll serve as a trusted advisor and technical lead on AI use cases ranging from intelligent agents to workflow automation. You will guide the business throughout the onboarding and implementation of our multiple AI solutions. You'll guide through the discovery, design, and hands-on configuration of AI-powered features, ensuring that the maximum value from AI capabilities supports outcomes. You will also bridge the gap between Customer Success, Product, and Engineering teams, helping define how AI transforms collaboration at scale—across the SNHU's broader tech ecosystem. The AI Architect will orchestrate collaboration across business, data, application, and technology domains, using platforms such as Salesforce, ServiceNow, Workday, D2L, Banner, and O365. You will balance innovation with compliance, ensuring solutions are secure, ethical, and scalable, while delivering measurable business and student outcomes. You will work remotely from any of our approved states. #LI-Remote What You'll Do: - Partner with business and technology partners to identify AI opportunities that support student success, operational efficiency, and digital business models. - Align AI programs with enterprise strategies, roadmaps, and higher education best practices. - Provide guidance on how AI, ML, and automation will improve current and future-state architectures. - Define, design, and oversee AI architectures that integrate with core enterprise platforms (Salesforce, ServiceNow, Workday, D2L, Banner, O365). - Collaborate with business architects, data architects, and developers to source, govern, and manage data for AI solutions. - Lead evaluation, selection, and implementation of AI/ML models, frameworks, and platforms. - Ensure architectures account for privacy, compliance (FERPA, HIPAA, GDPR), and security standards. - Establish MLOps practices, including CI/CD for AI models, automated testing, validation, and deployment. - Embed MCP (Model Control & Performance) practices: lifecycle management, retraining, drift detection, and decommissioning. - Oversee deployment, monitoring, and lifecycle management of AI solutions. - Contribute to enterprise AI governance frameworks, standards, and policies. - Establish metrics and monitoring approaches to track AI model performance, bias, and risk. - Implement adversarial AI defense and secure AI infrastructure (encryption-in-use, multi-tenant isolation). - Ensure compliance with ethical AI practices, accessibility standards, and institutional values. - Promote AI capabilities across the institution; facilitate workshops, proofs-of-concept, and demos. - Provide consultative support to enterprise architects, application teams, and business leaders. - Mentor technical teams on AI patterns, frameworks, and best practices. - Enable multi-agent orchestration frameworks (LangChain, AutoGPT, RAG) and ensure agent interoperability across platforms - Ability to translate institutional goals into AI solutions that deliver measurable outcomes. - Deep understanding of AI/ML architectures, data pipelines, integration, and governance. - Behavioral: Strong leadership, collaboration, and consultative skills with the ability to influence at all levels. - Personal: Technology-neutral mindset, intellectual curiosity, adaptability, and integrity. Strategic mindset with a bias toward experimentation, iteration, and learning - Other responsibilities as assigned What We're Looking For: - 15+ years in the technology industry. - 8+ years of experience in IT architecture. - 3+ years in AI/ML solution design and delivery. - Experience integrating AI solutions with enterprise platforms (e.g. Salesforce, ServiceNow, Workday, D2L, Banner, or equivalent). - Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (Azure, AWS, GCP), and big data technologies. - Hands-on experience designing or implementing AI solutions, including working with LLMs, prompt engineering, and agent frameworks (e.g. AutoGPT, LangChain, RAG) - Experience with system integration, APIs, cloud services, and enterprise data management. - Experience with enterprise architecture frameworks (TOGAF, Zachman) and agile delivery. - Experience with ethical AI, bias mitigation, and explain ability frameworks. We believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for. Compensation The annual pay range for this position is $137,839.00 - $220,582.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $152,311.00 - $206,068.00. Exceptional benefits (because you’re exceptional) You’re the whole package. Your benefits should be, too. As a full-time employee at SNHU, you’ll get: - High-quality, low-deductible medical insurance - Low to no-cost dental and vision plans - 5 weeks of paid time off (plus almost a dozen paid holidays) - Employer-funded retirement - Free tuition program - Parental leave - Mental health and wellbeing resources

About Us Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence. We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way. Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together. About the role As a Senior AI Engineer, you will help architect, build and implement our AI platforms, working closely with data quality engineers, data/software engineers, platform engineers, DevOps, product owners and business. You provide technical leadership for multiple, diverse, and geographically distributed teams. You will coach and guide teams to enable future success. Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need. As a member of the engineering team, you are responsible for coaching, mentoring, and driving change to enable us to deliver and innovate in an agile environment. Your day to day - Help shape the direction of our applied AI areas and intelligence features in our products. Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services (e.g., Abacus Agents, MCP, SQL and RAG agents and tools, etc.) - Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains - Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation, iteration and self-healing - Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction - Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model and GenAI system performance - Skillful at driving critical projects (e.g. AI and data engineering Innovation, Development Productivity and Benchmarking) - Meaningful experience in the world of Data and AI - Capable of credible customer interactions - Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures - Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization - Identifying people and process improvement strategies for the Agile/Scrum team(s), especially for AI projects/teams where innovation and iteration are critical - Communicate organizational updates to ensure teams adhere to the established policies and procedures - Ensure projects are completed on time and according to our quality standards - Facilitates communication upward around architecture, design, and implementation objectives - Proven experience in leading software development teams or projects - Excellent knowledge of software development design, QA and test automation, and experience with agile development methodologies - Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, Security, and MCP/API based services - Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of deliveries on our roadmap commitments while dealing with interruptions and client escalations - Good experience with open source - Coach and mentor software and AI developers, develop staff skills, provide continuous feedback - Has relentlessly high standards (is never satisfied with the status quo) - Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients. What you bring to the team - 7-10 years of overall experience in software engineering or related discipline. - 3-5 years of ML/AI engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML/AI research in academia will be considered as contributing qualification - 2+ years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering - Strong track record of working with language modeling technologies and GenAI. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g. orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc. - Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture - Ability to drive end-to-end model and system development, from research and prototyping to deployment and monitoring - Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences - Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment - Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s – 100s of TBs of data) - Possesses a level of breadth and depth of software and AI development experience that allows for influence and competence in technical discussions with internal and external stakeholders - Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles - Proven record of success of driving and/or leading engineering teams/projects towards developing production grade systems supporting customers What we would like to see, but not required: - Snowflake, FHIR, Healthcare Data exposure What you’ll get in return - Unlimited paid time off – recharge when you need it - Work from anywhere – flexibility to fit your life - Comprehensive health coverage – multiple plan options to choose from - Equity for every employee – share in our success - Growth-focused environment – your development matters here - Home office setup allowance – one-time support to get you started - Monthly cell phone allowance – stay connected with ease #LI-RF1 #LI-Remote Our Commitment as an Equal Opportunity Employer As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

• Help shape the direction of our applied AI areas and intelligence features in our products. • Drive the deployment of state-of-the-art AI models and systems. • Develop novel data collection, fine-tuning, and LLM technologies. • Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation. • Work closely with cross-functional teams to deliver impactful AI solutions. • Build scalable, reusable backend systems to support GenAI products across the company. • Coach and mentor software and AI developers.