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.

Lead, AI Adoption & Value Realization At Percepta, we bring first-class service across each market we support. As a Lead, AI Adoption & Value Realization working remotely you’ll be a part of creating and delivering amazing customer experiences, while also enjoying the satisfaction of being part of a unique culture What You’ll Be Doing Percepta is seeking a strategic and operationally strong Lead, AI Adoption & Value Realization to support the enterprise rollout and sustained adoption of AI-enabled capabilities across business units. This role will partner with IT, PMO, Client Services, People Innovation (HR), and Operations leaders to ensure AI initiatives are effectively adopted, governed, and translated into measurable business value. The ideal candidate combines operational excellence, change management expertise, and data-driven decision-making to enable scalable AI transformation across the organization. Success Metrics (First 30-90-180 Days) - Successful operational execution of the Strategy as defined by the Director of AI Enablement & Adoption - Demonstrated increase in adoption rates across prioritized AI initiatives - Clear reporting framework for AI value realization implemented - Measurable operational impact in at least 2–3 priority initiatives - Execute delivery of formalized AI Intake, prioritization and governance support - Reduction in adoption friction and initiative duplication - Positive stakeholder feedback from operational leaders, and executive sponsors across business units During a Typical Day, You’ll 1. AI Initiative Coordination & Visibility - Maintain a centralized portfolio of active AI initiatives across business units - Track implementation milestones, dependencies, risks, and adoption metrics - Identify cross-functional overlaps and alignment opportunities - Provide structured reporting to the Director of AI Enablement & Adoption 2. Adoption & Change Management - Develop and execute AI adoption playbooks tailored to operational teams - Partner with People Innovation (HR) to embed AI capabilities into workforce enablement - strategies - Monitor usage and behavioral adoption beyond initial deployment - Identify barriers to adoption, develop and implement corrective action plans - Support leadership communication plans related to AI initiatives - Partner with stakeholders to embed AI adoption metrics into performance objectives and incentive structures where appropriate. 3. Value Measurement & Performance Tracking - Establish baselines for key operational metrics (e.g., handle time, productivity, quality, cost efficiency) for AI Initiatives - Collaborate with IT and Data teams to develop dashboards and reporting frameworks - Track value realization against defined AI business cases - Prepare executive-ready reporting that demonstrates ROI and impact 4. Operational Partnership & Field Engagement - Engage directly with operational leaders and frontline management to understand pain points and improvement opportunities - Translate business needs into structured AI opportunity briefs with associated business value - Gather feedback from pilots and scaled implementations to refine future initiatives - Act as a liaison between business teams and technical stakeholders 5. Governance & Risk Support - Support compliance with enterprise AI governance standards - Ensure documentation, controls, and process adherence are maintained - Assist in intake and prioritization processes for new AI use cases - Partner with IT and Security teams to ensure alignment with data and compliance requirements What You Bring to the Role Education · Bachelor’s degree or equivalent experience required · Certification in Change Management preferred Experience · 7+ years of experience in Operations, Business Transformation, Digital Enablement, and Contact Center environments · Demonstrated experience leading enterprise adoption or change initiatives · Experience working within matrixed enterprise environments required · Experience in contact center, BPO, or client services environments preferred · Experience partnering with IT and PMO organizations preferred Skills - Strong analytical skills with experience measuring operational performance and ROI - Ability to influence cross-functional stakeholders without direct authority - Excellent executive-level communication and presentation skills - Core Competencies: o Strategic Execution o Enterprise Collaboration o Operational Excellence o Data-Driven Decision Making o Structured Problem Solving o Executive Communication o Change Leadership What You Can Expect · Competitive Salary with Incentives · Health/Dental/Vision/Life Insurance · Flexible Spending Account (FSA) and Health Savings Account (HSA) · 401(k) with company match · Vacation/Sick Time and Paid Holidays · Tuition Reimbursement · Employee Assistance Program · Employee Discount Program · Training and Development Programs (Percepta College) · Employee Rewards Program (Perci Perks) A Bit More About Your Role Percepta provides the equipment for this position. About Percepta Established in 2000 as a joint venture with TTEC, Percepta has specialized in creating customer loyalty to its clients across the globe. Delivered in multiple channels, speaking multiple languages, we bring first-class service across each market we support. Our values are the heartbeat of our organization, and we live, breathe, and play by them daily. At Percepta, we: - Lead with humility – We listen first, lead with empathy, and stay grounded—so people and ideas have room to grow. - Service beyond self – We serve others—clients, customers, and teammates—with care and integrity in every interaction. - Leave it better – We take ownership and leave every process, person, and place better than we found it. - Win together – We succeed as one—celebrating, supporting, and showing up for each other. - Deliver remarkable – We go beyond expectations to create bold, meaningful moments that stand out. Percepta is proud to be an equal opportunity employer where all 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. Percepta embraces and is committed to building a diverse and inclusive workforce that respects and empowers the culture and perspectives within our global teams. We strive to reflect the communities we serve by not only delivering amazing service and technology, but also humanity. We make it a point to make sure all our employees feel valued and comfortable being their authentic selves at work. As a global company, we know diversity is our strength. It enables us to view projects and ideas from different vantage points and allows every individual to bring value to the table in their unique way. #LI-remote