Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Agentic AI - Remote. In this role, you will have a transformative impact on the organization's approach to AI, partnering directly with senior leaders to redefine the operational model. You'll guide the integration of autonomous tools and systems, driving innovation and enhancing team productivity. By reshaping workflows and processes, you'll enable a culture of adaptive learning that supports our partner's mission to revolutionize access to financial products through AI. This is an opportunity to significantly influence strategic direction and functional transformation for a global audience. - Design the future operating systems in collaboration with senior leadership. - Define the integration of autonomous tools and human judgment into decision-making. - Deliver technical projects that enhance team efficiency and capacity. - Prototype and validate process innovations with AI tools. - Transform proof-of-concept learnings into scalable frameworks. - Collaborate with data and engineering teams on infrastructure needs. - Advise leadership on aligning AI capabilities with business strategies. - Encourage a culture of innovation and responsible AI adoption. Qualifications - 8+ years in business transformation or related fields. - Experience leading cross-functional initiatives. - Strong technical proficiency with AI tools and automation. - Hands-on experience in workflow automation and custom skills. - Excellent communication skills for cross-technical collaboration. - Systems thinking with a focus on execution and impact. - Bachelor’s degree in a technical field; MBA is a plus. - Familiarity with data architecture and AI initiatives (preferred). Requirements - 8+ years in business transformation or related fields. - Experience leading cross-functional initiatives. - Strong technical proficiency with AI tools and automation. - Hands-on experience in workflow automation and custom skills. - Excellent communication skills for cross-technical collaboration. - Systems thinking with a focus on execution and impact. - Bachelor’s degree in a technical field; MBA is a plus. - Familiarity with data architecture and AI initiatives (preferred). Benefits - Virtual-first work environment with international collaboration. - Competitive compensation and equity options. - Flexible health plans and comprehensive subsidies. - Direct access to leadership and decision-making. - Paid global team meetups for enhanced team bonding. - Recognition of impact and opportunities for growth.

About UsCircle is building the world’s leading all-in-one platform for online communities. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 200 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers page for more about working at Circle. About the roleThe Applied AI team at Circle is at the forefront of leveraging AI to drive innovation for our customers through transformative applications of large language models (LLMs). We build AI-powered features for our customers — AI agents, AI workflows, and AI copilot. As we scale these features to more customers, we're investing in robust infrastructure for measuring, diagnosing, and improving AI system speed and performance. We're looking for a strong AI Platform Engineer to help establish the foundation for this layer. This is a new focus area for us, with this being the first AI platform engineer hire at Circle. You’ll have significant ownership in shaping how we approach it. This role focuses on production AI systems — building infrastructure to measure and improve them— rather than ML research or model training. If you're excited about making AI systems work reliably at scale, this is for you. You'll build evaluation frameworks, observability tooling, and diagnostic infrastructure that tells us whether our AI systems are working well and helps identify where and how to improve them. When you find gaps, you'll prototype solutions, validate them with data, and work with the team to implement these improvements. What you'll be doing - Build evaluation infrastructure to measure AI system speed and accuracy — both offline (during development) and online (in production). - Create observability tooling and dashboards that surface quality metrics week-over-week. - Diagnose quality gaps. When accuracy drops, trace whether it's retrieval, ranking, prompting, or something else causing the issue. - Experiment with different models and agent configurations, using data to guide decisions. - Prototype and validate improvements to our RAG pipeline — chunking strategies, retrieval methods, re-ranking approaches. - Analyze how our customers are using our AI features to help us identify improvements or new areas for development. - Work closely with other engineers to give them confidence that their changes improve quality. - Help us stay up-to-date with the cutting-edge AI research, techniques, and tools. What you'll need to be successful - 6+ years of experience in software engineering, data science, or ML — with a foundation in areas like search/retrieval, information extraction, NLP, or recommendation systems before transitioning to LLM-powered applications. - Experience building and evaluating AI systems in production — including RAG pipelines, search / retrieval systems, LLM-powered applications, and both offline and LLM-based evaluation frameworks. - Strong proficiency in Python for prototyping and experimentation. - Openness to learning Ruby on Rails — our production system is built in Rails, and you'll need to integrate with and instrument the existing codebase. - Comfortable building infrastructure and tooling (eval pipelines, dashboards, data processing). - Deep understanding of RAG architecture: chunking strategies, embeddings, retrieval, re-ranking, context management. - Strong experimentation mindset — you’re comfortable designing and running A/B tests, measuring results, and iterating quickly to discover what works and what doesn’t. - Strong data analysis skills — you can interpret results, identify patterns, and communicate findings clearly. - A desire to work in an environment which values speed of iteration and individual autonomy, while also embracing personal accountability and the ability to collaborate effectively as part of a dynamic team. - Comfortable in a fast-paced environment with a certain level of ambiguity, especially when learning and picking up new technologies when projects require it. - Strong alignment with our values, find our values on our career page if you haven’t read up on them yet. - You are proficient in English (spoken, written, and reading) at a CEFR Level C2 / ILR Level 5. Bonus Points - Experience with evaluation frameworks (Braintrust, LangSmith, or similar). $130,000 - $140,000 USD per yearThe cash compensation range shown is a starting point. In addition to equity, benefits and perks, your cash compensation is subject to an annual review and increase on a once per year basis. The fun stuff - Fully remote: work from anywhere in the world! - Autonomy and trust to do your job: we care about outcomes over everything else. - Paid time away: all employees are given 35 days of PTO annually. We also offer a paid sabbatical after 5 years. - Generous U.S. benchmarked compensation and startup equity no matter where you are in the world.* - Awesome medical coverage with 100% coverage for you and your family, or medical reimbursement options where applicable!* - Parental leave for parents expanding their family, or just starting one. - Home office stipend to help you get up and running. - Learning & development stipend to help you level up your professional skills. - Annual bonus potential for roles that don't already receive variable income or commission. - Company retreats: Twice a year, the Circle team gets together for a fully paid company retreat in incredible places around the world! We’ve had past retreats in Colombia, Portugal, and Mexico, with more planned on the horizon. - Check out our Careers page for more. *Your role, location and unique circumstance may affect this. Candidate Safety & Interview Process NoticeAt Circle, the safety and trust of our candidates is extremely important to us. Unfortunately, recruiting fraud is increasingly common in the job market, and bad actors sometimes impersonate companies or employees. To help protect you, here’s what you can expect from our hiring process: How Our Process Works - All applications are submitted through our official applicant tracking system (Greenhouse). - If selected to move forward, you may be invited to record a short introductory video, or directly into a live interview. - All live interviews are conducted face-to-face over video (Zoom or Google Meet) with a member of the Circle team. - We do not conduct text-only interviews. - We do not conduct interviews via chat apps or messaging platforms. - We do not use AI bots to interview candidates. Official Communication Channels - All official communication from Circle will come from no-reply@circle.co, or an email address ending in @circle.co or @circle.so. - We will never contact you from unofficial domains (such as “.team”, “.careers”, or similar variations). - We will never request sensitive personal information early in the process, or ask for payment of any kind. If you receive a suspicious message claiming to be from Circle, please do not respond. We appreciate your vigilance, and look forward to connecting with you through our official channels. Diversity, Equity & InclusionAs a fully-remote international company, diversity is baked into our DNA. Here’s how our CEO, Sid Yadav, frames our hiring mission: “let’s find talent in underserved and under-represented corners of the world, set them up to do the best work of their lives, and in turn, change their life.” To achieve this hiring mission, we offer competitive U.S. benchmarked compensation no matter where someone’s located in the world, and we proactively seek candidates who expand representation of backgrounds, cultures and lived experiences in our teams. Equal Employment OpportunityCircle is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. If you require any accommodations during the recruitment process, please let us know and we will work with you to meet your needs. How We Use Candidate DataAt Circle, we are committed to protecting your personal information. As a job applicant, the personal data you provide to us is collected and processed in accordance with the General Data Protection Regulation (GDPR) in the EU and the California Consumer Privacy Act (CCPA). This notice outlines the types of personal information we collect, the purpose for collecting it, and your rights. Information We Collect: We collect the following categories of personal information from job applicants: - Contact information (such as name, email address, phone number) - Employment history and qualifications - Education history - References and any other information you choose to share with us during the application process Purpose of Collection: We collect this information for the following purposes: - To assess your qualifications and suitability for the position - To communicate with you during the recruitment process - To comply with legal and regulatory obligations Your Rights Under GDPR and CCPA: You have the following rights regarding your personal information: - The right to request access to the personal information we hold about you. - The right to request the deletion of your personal information, subject to certain legal exceptions. - The right to opt out of the sale of your personal information (Note: We do not sell personal information). For more information about how we handle your personal data or to exercise your rights, please refer to our full Privacy Policy. By submitting your application, you acknowledge that you have read and understood this privacy notice.

Artificial Intelligence, BS Program Department of Information Technology UMGC Stateside Location: Stateside Remote University of Maryland Global Campus (UMGC) seeks adjunct faculty to teach in the Artificial Intelligence, Bachelor of Science program remotely. Required Education and Experience: - Master’s degree in Artificial Intelligence, Data Science, Data Analytics, or related field from an accredited institution of higher learning. - Experience teaching within online higher education settings. - 3-5 years of professional experience in Artificial Intelligence, Data Science, and Data Analytics - This position is specifically to teach remotely. Preferred Education and Experience: - Industry Certifications in ML, AI, Data Science from Microsoft, IBM, AWS. Materials needed for submission: - Resume/Curriculum Vitae - Cover letter highly preferred - If selected, candidates with international degrees may be required to submit a translation/degree evaluation from a NACES approved vendor. Who We Are and Who We Serve UMGC—one of 12 degree-granting institutions in the University System of Maryland (USM)—is a mission- driven institution with seven core values that guide us in all we do. At the top of the list is "Students First,” and we strive to do just that for our 90,000 students at home and abroad. From its start in 1947, UMGC has demonstrated its commitment to adult learners. We recognize that adult students need flexibility and options. UMGC is proud to be a global, 24-hour, institution of higher learning. The typical UMGC student is an adult learner juggling a career, family, and other priorities. Roughly 80% work full time, half are parents, and half are minority students. They are continuing their education to better themselves, their families, and their professional opportunities. UMGC is also a leading higher education provider to the U.S. military, enrolling 55,000 active-duty service members, reservists, National Guard members, veterans, and family members annually. We are proud of our military heritage and are committed to this service. The Adjunct Faculty Role at UMGC UMGC is committed to helping students achieve success not only with us, but also in their professional fields. As a result, we actively seek faculty members who are scholar-practitioners: professionals who are actively and successfully engaged in their field who additionally wish to help the next generation of professionals grow in their knowledge and expertise through education. Your role as an adjunct faculty member will be to: - Actively engage students though frequent interaction that motivates them to succeed, and conveys a genuine energy and enthusiasm for their learning. - Guide students in active collaboration and the application of their learning in problem- and project-based learning demonstrations. - Provide rich and regular constructive feedback, utilizing rubrics effectively for the assessment of student work, and acknowledging student accomplishments. - Demonstrate relevant and current subject-matter expertise, and help students connect concepts across their academic program. - Provide feedback to your program chair on possible curricular improvements. The Data Science rogram at UMGC Please visit Artificial Intelligence Foundations Online Certificate | UMGC to learn more about this program, including its description, outcomes, and coursework. Faculty Training at UMGC We are committed to your professional success at UMGC. Each new faculty member is required to successfully complete our online two-week new faculty orientation, FacDev 411, as a condition of hire. Position Available and will Remain Open until Filled Salary Commensurate with Experience All submissions should include a cover letter and resume. The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions. Workplace Accommodations: The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC’s Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu. Benefits Package Highlights: - Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date. NOTE: Adjuncts are not eligible for the State of Maryland subsidized rates. Adjuncts would be responsible for the total cost if enrolled. - Insurance Options: Term Life Insurance and Accidental Death and Dismemberment Insurance. - Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds. For additional information please see: SS Adjunct Faculty_2020.pdf (umgc.edu) Hiring Range by Rank and Degree: Instructor: No Terminal Degree: Step 1 $806 - Step 11 $1,050 per credit hour Assistant Adjunct Professor: No Terminal Degree Step 1 $877 - Step 11 $1,127 per credit hour Assistant Adjunct Professor: Terminal Degree Step 1 $1,023 - Step 11 $1,288 per credit hour Associate Adjunct Professor: No Terminal Degree Step 1 $947 - Step 11 $1,205 per credit hour Associate Adjunct Professor: Terminal Degree Step 1 $1,202 - Step 11 $1,483 per credit hour Adjunct Professor: No Terminal Degree Step 1 $1,023 - Step 11 $1,288 per credit hour Adjunct Professor: Terminal Degree Step 1 $1,347 - Step 11 $1,645 per credit hour

• Develop and execute the enterprise AI strategy and multi-year roadmap aligned to corporate objectives. • Establish and oversee AI platform architecture, tooling standards, and integration frameworks across the organization. • Define AI governance models including policy, responsible AI standards, risk frameworks, and regulatory alignment. • Partner with Security and Legal to implement controls for data classification, data privacy, intellectual property protection, and AI model risk management. • Evaluate and manage AI vendor ecosystem, including foundation models, copilots, automation platforms, and emerging technologies. • Establish enterprise AI policy frameworks covering acceptable use, data handling, model lifecycle management, and auditability. • Implement guardrails for secure AI usage, including access controls, data loss prevention (DLP), logging, monitoring, and compliance enforcement. • Lead AI risk assessments, bias mitigation strategies, and governance review boards. • Ensure alignment with cybersecurity, privacy, and regulatory requirements across jurisdictions. • Lead enterprise-wide automation strategy, incorporating AI, RPA, workflow orchestration, and process mining. • Identify high-value automation opportunities across Finance, HR, Sales, Engineering, Operations, and Corporate functions. • Oversee deployment frameworks for AI solutions, including pilot validation, scaled rollout, change management, and performance tracking. • Establish reusable automation patterns and best practices to accelerate adoption and reduce duplication. • Build AI-enabled service optimization within IT and enterprise support functions. • Define and track KPIs tied to AI-driven productivity gains, cost reduction, cycle time improvement, and revenue enablement. • Establish value realization models that quantify ROI across AI and automation initiatives. • Partner with business unit leaders to embed AI capabilities into workflows and operating models. • Develop executive-level dashboards and reporting frameworks to demonstrate measurable impact. • Drive adoption strategies including enablement programs, training, and AI literacy initiatives. • Build and scale high-performing teams across AI engineering, automation, governance, and digital workplace transformation. • Establish performance metrics, operational standards, and maturity models for enterprise AI capabilities. • Manage departmental budget, investment prioritization, and vendor cost optimization strategies. • Serve as executive sponsor for digital workplace innovation and AI-driven cultural transformation.