State of Location: Wisconsin Position Summary: The Principal AI Solutions Engineer is a strategic and technical role responsible for driving the successful, ethical, and scalable adoption of AI across our network of 750+ outpatient clinics and growing. This individual serves as the chief translator between executive business needs and technical AI capabilities, ensuring all AI engagements align with the overall enterprise ecosystem and deliver measurable Return on Investment (ROI) and improved patient outcomes. This role includes hands on solution execution: creating AI agents, agentic workflows, rapid prototyping, etc., while continuing to understand and incorporate new capabilities in the AI landscape. Join Ivy Rehab’s dedicated team where you’re not just an employee, but a valued teammate! Together, we provide world-class care in physical therapy, occupational therapy, speech therapy, and applied behavior analysis (ABA) services. Our culture promotes authenticity, inclusion, growth, community, and a passion for exceptional care for every patient. Job Description: Key Responsibilities Business Partnership & Value Realization - Use Case Prioritization: Act as a strategic consultant to business function leaders (e.g., COO, CFO, Chief People Officer, Chief Medical Officer, etc.,) to identify, vet, and prioritize high-value AI use cases - ROI & Business Case: Partner in the development of comprehensive business cases for new AI investments, translating technical performance metrics into financial and operational KPIs (e.g., claims denial reduction, clinician time-in-EMR). - Executive Communication: Present complex AI strategies, risks, and performance metrics to the Executive Leadership Team (ELT) in a clear, compelling, and non-technical manner. - Organizational Enablement: Lead internal AI literacy efforts, guiding different functions (from clinical informatics to finance) on how to strategically leverage and measure the impact of new AI technologies. Technical Exploration & Experimentation - Rapid Prototyping: Lead quick, focused Proofs of Concept (POCs) on emerging technologies (e.g., new models, open-source AI frameworks) to determine their viability and fit within the regulated healthcare environment. - Vendor Vetting: Conduct deep technical due diligence and performance testing on third-party AI vendors, evaluating their architecture, adherence to SLAs, and security posture (e.g., HITRUST controls). - Maturity and Scaling: Define the path for moving successful AI prototypes from the pilot environment to enterprise-wide production deployment, focusing on monitoring (model drift), latency, and cost optimization. Strategy, Governance, & Integration - Enterprise AI Roadmap: Define the technical and architectural roadmap for AI integration, focusing on data pipeline requirements, MLOps tooling, and shared services (e.g., central API gateways for AI agents). - AI Governance: Collaborate with the Security and Compliance teams to define and enforce Responsible AI (RAI) policies, ensuring all solutions adhere to HIPAA, are free from bias, and maintain PHI security standards. - Technical Architecture: Serve as the technical expert to ensure AI solutions integrate seamlessly with our core systems, including the EMR, Telehealth platforms, and Patient Engagement portals, adhering to healthcare interoperability standards. Required Qualifications - Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field. - Experience: 7+ years of progressive experience in technology, solutions engineering, commercial software development. - Technical Depth: Hands-on experience with core AI technologies (LLMs, Agents, NLP, predictive analytics) and proficiency in cloud platforms (Azure, GCP, or AWS). Experience with healthcare data standards (FHIR, HL7) and MLOps principles is essential. - Industry Expertise: Deep working knowledge of the healthcare provider landscape, including core systems (EMR), Revenue Cycle Management (RCM), and regulatory requirements (HIPAA, HITECH). - Communication: Exceptional ability to distill complex technical concepts into clear, strategic ​narratives for both engineers and C-suite executives. - Mindset: A curious, experimental mindset with a proven history of independent "tinkering," developing prototypes, and challenging the status quo for technological improvement. Preferred Qualifications - At least 2 years directly focused on deploying and integrating AI/ML models in an enterprise high growth setting Why choose Ivy?     - Best Employer: A prestigious honor to be recognized by Modern Healthcare, signifying excellence in our industry and providing an outstanding workplace culture.    - Exceeding Expectations: Deliver best-in-class care and witness exceptional patient outcomes.     - Incentives Galore: Eligibility for full benefits package beginning within your first month of employment. Generous PTO (Paid Time Off) plans and paid holidays. - Empowering Values: Live by values that prioritize teamwork, growth, and serving others. #LI-ST1 #LI-Remote We are an equal opportunity employer, committed to diversity and inclusion in all aspects of the recruiting and employment process. Actual salaries depend on a variety of factors, including experience, specialty, education, and organizational need. Any listed salary range or contractual rate does not include bonuses/incentive, differential pay, or other forms of compensation or benefits. ivyrehab.com

Job Title: AI Engineer Job Category: Engineering Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Continental US * * * The Opportunity: As an AI Developer, you will be at the forefront of our AI initiatives. You will lead the design, development, and integration of advanced AI features into our enterprise web application. Responsibilities: - AI Strategy Development: Collaborate with stakeholders to define AI objectives and strategies aligned with business goals. - Agent Development: Design and implement complex agentic architectures by defining autonomous roles, task sequences, and decision-making logic through advanced prompt engineering techniques - Integration: Seamlessly integrate AI capabilities into the existing web application architecture. - Cross-Functional Collaboration: Work closely with data scientists, software engineers, UX/UI designers, and product managers to deliver cohesive AI solutions. - Documentation: Create comprehensive documentation for AI models, algorithms, and implementation processes. - Stay Current: Keep abreast of the latest advancements in AI and generative models to incorporate innovative solutions. Qualifications: Required: - US citizenship and ability to obtain and maintain required security clearances. - Requires advanced understanding and ability to apply standards, principles, theories, and technical concepts obtained through advanced education combined with experience. - Typically has a Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field and minimum 7 years of related work experience. - AI Strategy Development: Collaborate with stakeholders to define AI objectives and strategies aligned with business goals. - Model Development: Design, train, and deploy generative AI models tailored to our application’s needs. - Integration: Seamlessly integrate AI capabilities into the existing web application architecture. - Performance Optimization: Continuously monitor and optimize AI model performance to ensure accuracy and efficiency. - Cross-Functional Collaboration: Work closely with data scientists, software engineers, UX/UI designers, and product managers to deliver cohesive AI solutions. - Documentation: Create comprehensive documentation for AI models, algorithms, and implementation processes. - Stay Current: Keep abreast of the latest advancements in AI and generative models to incorporate innovative solutions. - Experience in AI development, with a focus on generative models. - Proven experience leading AI projects from conception to deployment. - Technical Skills: - Proficiency in Java and other relevant programming languages. - Strong understanding of machine learning frameworks. - Experience with natural language processing (NLP). - Familiarity with cloud platforms (AWS) and containerization technologies (Docker, Kubernetes). - Soft Skills: - Excellent problem-solving and analytical skills. - Strong communication and collaboration abilities. - Ability to work in a fast-paced, dynamic environment. Desired - JSF - Bootstrap - Angular - TypeScript - AWS - Kibana - Docker - NiFi - Big Data technologies - Oracle - Elasticsearch - What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Since this position can be worked in more than one location, the range shown is the national average for the position. The proposed salary range for this position is: $98,500-$206,800 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Job Description Required Certificates and Licenses: Arkansas Department of Education Middle School English Teaching Certification Required Residency Requirements: This position is remote and strongly prefer candidates that reside in Arkansas. Start date: School Year 2026/2027 K12, a Stride Company, believes in Education for ANYONE. We provide families with an online option for a high-quality, personalized education experience. Students can thrive, find their passion, and learn in an environment that encourages discovery at their own pace. Passionate educators are needed at the Stride K12 partner school, Arkansas Virtual Academy (ARVA). We want you to be a part of our talented team! The mission of Arkansas Virtual Academy (ARVA) is to provide an exemplary individualized and engaging educational experience for students by incorporating school and community/family partnerships coupled with a rigorous curriculum along with a data-driven and student-centered instructional model. Student success will be measured by valid and reliable assessment data, parent and student satisfaction, and continued institutional growth within the academic community. Join us! The Middle School English Teacher is a highly qualified, state certified educator responsible for delivering specific course content in an online environment. Middle School Science Teachers provide instruction, support, and guidance, manage the learning process, and focus on students’ individual needs. Middle School English Teachers monitor student progress through Stride K12’s learning management system. They actively work closely with students and parents/learning coaches to advance each student’s learning toward established goals. Middle School English Teachers typically work from home but must travel occasionally throughout the year to various school functions, such as state testing or as otherwise required by the school. This is a full-time position. Ability to work independently, typically 40+ hours per week is required. Ability to maintain a professional home office without distraction during workday, typically 9-5 (or 8-4) or as defined by the school. ESSENTIAL FUNCTIONS: Reasonable accommodation may be made to enable individuals with disabilities to perform the essential duties. - Provides rich and engaging synchronous and asynchronous learning experiences for students - Commitment to personalizing learning for all students - Demonstrates a belief in all students’ ability to succeed and meet high expectations - Differentiates instruction based on student level of mastery - Augments course content according to prescribed policies and procedures using appropriate asynchronous and synchronous tools under guidance from principal and coach - Maintains grade book ensuring student academic integrity, makes student placement and promotion decisions, and alerts administrators to concerns about student performance and progress - Prepares students for high stakes standardized tests - Understands that a primary responsibility is to establish and maintain positive rapport with families and regularly communicates with and responds to students and learning coaches/parents in a timely manner - Supports learning coaches/parents with student curricular and instructional issues, as well as basic troubleshooting in a virtual classroom environment that is in line with academy policies and procedures - Travels as required (on average once per month and/or approximately 20% of the time) for face-to-face professional development, student testing, and as required by school REQUIRED MINIMUM QUALIFICATIONS: - Bachelor's degree AND - Active state teaching license AND - Ability to clear required background check OTHER REQUIRED QUALIFICATIONS: - Ability to work collaboratively with other teachers to interpret and produce numeric, tabular, and graphic representations of student data, and use it to drive instructional decisions. - Receptive to receiving coaching regularly with administrators and teacher trainers. - Ability to embrace change and adapt to ensure excellent student outcomes. - Proficient in Microsoft Excel, Outlook, Word, PowerPoint. - Ability to rapidly learn and adapt to new technologies and teaching platforms. - Ability to maintain teacher certification/professional development hours and fluency in K12 systems, programs and curriculum. DESIRED QUALIFICATIONS: - Experience working with proposed age group. - Experience supporting adults and children in the use of technology. - Experience teaching in an online (virtual) and/or in a brick-and-mortar environment. - Experience with online learning platforms. Compensation & Benefits: Stride, Inc. considers a person’s education, experience, and qualifications, as well as the position’s work location, expected quality and quantity of work, required travel (if any), external market and internal value when determining a new employee’s salary level. Salaries will differ based on these factors, the position’s level and expected contribution, and the employee’s benefits elections. Offers will typically be in the bottom half of the range. - We anticipate the salary range to be $45,000-$50,000. Eligible employees may receive a bonus. This salary is not guaranteed, as an individual’s compensation can vary based on several factors. These factors include, but are not limited to, geographic location, experience, training, education, and local market conditions. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. - This position is virtual Job Type Board Employee_CW The above job is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor. All employment is “at-will” as governed by the law of the state where the employee works. It is further understood that the “at-will” nature of employment is one aspect of employment that cannot be changed except in writing and signed by an authorized officer. If you are a job seeker with a disability and require a reasonable accommodation to apply for one of our jobs, you can request the appropriate accommodation by contacting stridecareers@k12.com. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities Stride, Inc. is an equal opportunity employer. Applicants receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or any other basis prohibited by federal, state, or local law. Stride, Inc. complies with all legally required affirmative action obligations. Applicants will not be discriminated against because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant.

• Build and operate a centralized AI agent registry—every autonomous agent, bot, MCP connector, and AI-powered workflow across the enterprise is inventoried, owned, and monitored. • Lead shadow AI containment: detect, classify, and govern unauthorized AI deployments across business units. Turn the current reactive posture into proactive continuous discovery with real-time alerting. • Enforce agent identity governance—treat AI agents as first-class security principals with their own identities, least-privilege access controls, credential rotation, and lifecycle management. Partner with Identity to extend Zero Trust to non-human identities. • Build incident response playbooks specifically for agent-induced incidents: goal hijacking, unauthorized data access, privilege escalation through AI tool chains, and MCP-based credential exposure. • Define and enforce agent deployment gates—no AI agent goes to production without security review, risk classification, and registration in the central registry. • Own AlphaSense’s AI governance program end-to-end: policy frameworks, risk classification tiers, AI impact assessments, and the cross-functional governance council (Security, Legal, Product, Engineering, HR). • Drive ISO 42001 (AI Management System) certification—define scope, build the AIMS, lead the audit. This is a near-term strategic priority. • Build and maintain the AI risk taxonomy covering bias, explainability, data quality, model drift, adversarial attacks, and societal impact—mapped to EU AI Act risk tiers, NIST AI RMF, and internal product requirements. • Monitor and prepare for emerging regulatory requirements: EU AI Act enforcement timelines, DORA’s AI-related incident reporting obligations, U.S. state-level AI legislation, and sector-specific AI guidance. • Establish AI-specific cyber risk quantification (CRQ) models that translate AI risk into financial impact for board-level reporting and investment prioritization. • Architect and deploy AI-powered security automation—targeting high-toil workflows like alert triage, evidence collection, vendor risk questionnaires, and incident enrichment. • Build analytics pipelines that generate actionable intelligence from security telemetry across the security stack —turning raw data into risk signals, trend detection, and efficiency metrics. • Work with teams to deploy and tune AI-driven detection capabilities: behavioral anomaly detection, insider risk correlation, and automated threat hunting across endpoints and cloud. • Drive continuous control monitoring for AI-specific controls—automated validation that AI governance policies are being enforced, not just documented. • Own security program metrics, KPIs, and KRIs: build dashboards and reporting that communicate risk posture, automation coverage, and governance maturity to executive leadership and the board. • Partner with Engineering and AI/ML teams to embed security controls directly into AI development, training, and deployment pipelines—shifting governance left into the build process. • Collaborate with Product Security to ensure customer-facing AI features meet governance requirements and can withstand adversarial use cases (prompt injection, data extraction, jailbreaking). • Work with Legal and Privacy to align AI governance policies with data protection requirements across jurisdictions (GDPR, CCPA, China DSL/PIPL). • Build, mentor, and grow a team of AI governance and security automation specialists—people who understand both the regulatory landscape and the technical architecture of modern AI systems. • Represent AlphaSense at industry forums, standards bodies, and customer conversations related to AI governance, AI security, and responsible AI practices.