• Own the product vision, roadmap, and backlog for assigned AI platforms across various Aprio business lines. • Translate complex domain and practice requirements into clear, actionable user stories, acceptance criteria, and product specifications. • Lead the full development lifecycle — scoping, sprint planning, QA, and rollout — coordinating onshore and offshore development resources. • Work closely with Engineering, tax accountants, and other cross functions to deliver and improve the platforms. • Prioritize features and balance near-term delivery with long-term platform scalability and maintainability. • Run structured requirements-gathering sessions with subject matter experts across the relevant practice or business area. • Communicate project status, risks, and decisions clearly to practitioners and firm leadership. • Serve as the primary point of contact for assigned platforms, owning outcomes with transparency. • Apply generative-AI capabilities relevant to professional services — LLMs, document intelligence, agentic workflows, and structured output generation. • Test and validate AI models, APIs, and tooling (e.g., Anthropic Claude, OpenAI, Azure AI) for integration into Aprio's platforms. • Support responsible AI practices, including data privacy, data residency, and client confidentiality considerations (e.g., §7216 consent where applicable).

Role Description We're looking for a Workflow Engineer who turns AI capabilities into production-grade agent workflows that automate real business processes. You'll design and ship LLM-powered flows, from RAG pipelines and MCP tools to multi-step agentic automations, and integrate them safely with our apps, data, and APIs. You'll work closely with product, platform, and security to deliver fast, reliable, and cost-efficient AI outcomes. Essential Duties & Responsibilities: - Build agentic systems - Design and implement agent workflows using tools like LangGraph, CrewAI, n8n (or similar) - Create task decomposition, tool-use policies, guardrails, and evaluation loops - Implement Retrieval-Augmented Generation (RAG) - Stand up vector search and retrieval pipelines; select embedding strategies - Optimize context packing, grounding quality, and hallucination mitigation - Develop MCP tools & integrations - Build Model Context Protocol (MCP) servers and custom tools to safely connect to APIs, databases, and internal systems - Establish capabilities, permissions, and auditing for tool use - Ship production-ready AI services - Build FastAPI/Node services that expose AI workflows behind secure APIs - Own CI/CD for workflow services; write tests, contract checks, and evals - Instrument workflows with latency, cost, accuracy, and safety metrics - Run prompt/eval experiments; iterate on prompts, memory, and grounding - Work with product & ops to prioritize use cases - Collaborate with Platform/DevOps to deploy and scale reliably in Kubernetes Qualifications - Strong coding in Python and/or Node; clean API design - Hands-on with LLM integration (prompting, tool use, function calling) - Experience building RAG systems and working with vector databases - Practical familiarity with LangGraph/CrewAI/n8n or similar orchestration - Experience building MCP tools/servers or equivalent agent-tool frameworks - Solid understanding of REST/GraphQL, auth (OAuth/OIDC), and secure integration - Containers, Git, CI/CD basics; comfort shipping production services Preferred Qualifications - Evals & guardrails (e.g., structured output, JSON schemas, toxicity/PII checks) - Knowledge graphs / event-driven architectures/workflow engines - Model selection & optimization; prompt caching; cost/perf tuning - Exposure to LLM safety, privacy, governance, and enterprise compliance Additional Details - Potential Salary Range: $115,000 to $120,000. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. - This role is eligible for remote US-based (work-from-home) locations. Chicago-based candidates would work in a hybrid capacity from Accertify's HQ in Itasca, IL. - Visa Sponsorship: Employment eligibility to work for Accertify in the U.S. is required, as Accertify will not pursue Visa sponsorship for this position. Benefits - Comprehensive benefits package, including medical, dental, and vision coverage - Paid time off - Wellness programs - Participation in retirement programs, including a 401(k) plan with company matching contributions, subject to plan terms and eligibility requirements

Role Description CIMT College is looking for someone to teach the PG Artificial Intelligence program. This program is registered with the Ministry of Colleges and Universities. The successful candidate would be required to follow CIMT College’s policies and procedures. Courseware, resources, evaluations, and daily lesson plans are provided in an Instructor Manual. The Instructor is responsible for following the provided instructor manuals and using the resource materials to train students with the required knowledge and skills to prepare them for employment in the field. CIMT College places a premium on professional conduct, combined with excellence in classroom instruction, with primary emphasis on hands-on training. Working Hours: Mon to Fri - 5pm to 10pm Duties and Responsibilities - Demonstrate a thorough and accurate knowledge of the field - Instruct curriculum using only pre-authorized and provided materials - Teach students using a diverse and systematic plan of lectures, presentations, demonstrations, discussion groups, laboratory work, case studies, independent or group projects - Employ appropriate adult teaching and learning strategies to communicate the subject matter to diverse students - Administer and mark quizzes, assignments, exams and/or other assessments to monitor and evaluate students’ progress according to guidelines and procedures - Evaluate student performance fairly and consistently and return student marks promptly - Provide feedback on student performance - Arrange feedback from students on the instructor, content, and facility at the end of each course - Demonstrate sensitivity to student needs and individual circumstances in a multi-cultural environment - Resolve student complaints and concerns with a positive and professional attitude - Maintain attendance records accurately - Assure that classrooms are left in a clean and orderly fashion at end of class without loss of or damage to equipment or other resources - Provide support to the admissions team with potential students who have questions about the program or future career - Participate in scheduled meetings and annual events like graduation - Maintain confidentiality of student privacy and information - Stay current in the subject matter through professional development - Display an attitude of teamwork and problem solving - Perform other related duties as required Qualifications - Have 48 months of work experience in the vocation - OR Have 36 months of teaching experience in the vocation and 24 months of work experience in the vocation - OR Have 24 months of work experience in the vocation AND: - Hold a Bachelor degree from a Canadian university or an equivalent degree - Graduate of a College of Applied Arts and Technology or equivalent - Graduate of a registered OCC or equivalent - Meet Instructor qualification standards as outlined in the Regulations to Ontario Career Colleges Act, 2005 - Must be available to teach online as per the accepted schedule Requirements - Knowledge of Microsoft Word, Excel, PowerPoint and database systems - Excellent oral and written communication to present information in a way that students will understand as well as adapt to the different learning styles - Professional business attire and interpersonal skills to act as a mentor and role model - Online teaching (training provided, but computer skills are essential) Pay Details - Base Pay Rate: CAD $20/hr - $22/hr Accessibility and Equal Employment Opportunity Statement CIMT College is an equal opportunity employer and is committed to fostering a diverse, inclusive, and accessible work environment. We value the unique skills and experiences each individual brings. We are pleased to consider all qualified applicants for employment regardless of, in particular, race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other legally protected factors. CIMT College is committed to providing equal workplace opportunities and an inclusive environment for all candidates and current employees. We believe and support barrier-free and accessible employment practices in compliance with the Accessibility for Ontarians with Disabilities Act (AODA). Should you require an accommodation (including, but not limited to, the application process, the interview location etc.) during the hiring process, please email our Human Resources department at hr@cimtcollege.com for further assistance and information. We thank all applicants in advance for their interest in this position. However, only those selected for an interview will be contacted by the Talent Acquisition Team. Mon to Fri - 5pm to 10pm - Online Max 25 hrs/week

• Partner with clinical and utilization management teams to understand workflows, data needs, and areas where analysis can improve decision-making and outcomes • Use AI tools to accelerate data pulls and surface patterns across large clinical datasets • Analyze AI findings to flag trends or anomalies that may not be immediately visible through manual review • Leverage AI to support documentation tasks such as drafting summaries, structuring findings, and generating repeatable templates for clinical and operational use • Pull, clean, and analyze healthcare data including claims, date of service, provider specialty, utilization patterns, and clinical indicators • Identify trends and draw actionable insights from clinical and utilization data to support care management, cost containment, and quality improvement efforts • Support the clinical team in understanding benefit structures, plan designs, and how they interact with utilization and outcomes data • Identify opportunities where AI or automation could streamline clinical review processes, flag outliers, or reduce manual workload for clinical staff • Build lightweight data tools, dashboards, or summary reports to make clinical and utilization data more accessible and actionable • Document findings, methodologies, and recommendations clearly so insights are repeatable and usable beyond the internship • Present data findings and recommendations to clinical and operational leadership in a clear, accessible format