Title: Instructor, Music Location: Westminster United States Salary See Position Description Location Westminster Campus - Westminster, CO Job Type Part-Time Instructor Job Number 202602073 Division Academic Affairs Department Liberal Arts, Communication, & Design Job Description: General Summary Who We Are With three campuses along Colorado's Front Range, FRCC is the state's largest community college. We enroll close to 28,000 students annually from our diverse service area, which offers a variety of cultural and recreational activities. Each year approximately 5,000 FRCC students transfer to four-year universities and FRCC offers more than 36 career training programs that prepare students for immediate employment and rewarding careers. Last year, more than 5,000 high school students took concurrent enrollment classes with us, earning college credit without having to pay college tuition. And we were recently ranked as one of the "Top Online Colleges" in the country by Newsweek. One of FRCC's main goals is to offer educational excellence for everyone. The college's strong commitment to student success means we start by creating an inclusive and equitable environment-one where both students and employees feel they belong and are supported. FRCC's focus on diversity, equity and inclusion is woven into the fabric of our college conversations and decision-making processes. We are actively seeking to hire a workforce that reflects the diversity of our student body. The college is also an emerging Hispanic Serving Institution. For us, becoming an HSI is an intentional commitment to being a college where our Latinx (and other historically marginalized) students thrive. FRCC employees and leaders work hard to create a culture of collaboration, innovation and pride. We're looking to hire people who share these values-along with our commitment to student success, equity and excellence. Who You Are The Music department is searching for a part-time Music Instructor to provide private instruction for Violin, Viola, and Cello. This position will also maintain and grow the private studios for Violin, Viola, and Cello. As well as encourage students to participate in performance opportunities throughout each semester and hold juries at the end of the semester. You will work individually, as well as in collaboration with colleagues, to develop innovative curriculum which meets the needs of our diverse population of students. Student retention and success is your top priority. You will utilize technology and effective teaching strategies to develop students' critical thinking skills. Additional instructional opportunities may become available that include teaching other music-related courses. Course assignments will be made based on experience. You may be asked to teach at different times, locations and modalities to meet the needs of the College. This position does have the opportunity to work remotely occasionally but does require a strong on-campus presence and may require occasional travel to all three FRCC campuses. Please note: You need to be a Colorado resident on your first day of employment. Also, Front Range Community College is an E-Verify employer. SALARY:$428.00 per student per credit BENEFITS:Part-Time Instructors will have their hours measured on an annual basis to determine eligibility to enroll in medical health insurance only for the following benefit period. (See:Instructor & Variable Hour Employee Benefit Information). SELECTION PROCESS: Position will remain open until filled with a priority deadline of May 18, 2026. The selection process for this position will be conducted through a competitive, merit-based evaluation of all qualified applicants. Consideration will be made on the basis of a completed application package submitted by the candidate. Completed application package includes: - A resume or CV; - A letter of interest; - A copy of official transcripts; - A one-page statement of your teaching philosophy; and - A list of courses and the semesters you have taught. Qualifications Required Education/Training & Work Experience: - A Master's degree in one of several related degrees listed below. OR - A Master's degree in any field, plus 18 graduate credits in one of the related degrees listed below. Related Degree:Music, Music Education, Musicology Equivalent Experience:For specific courses, a Bachelor's degree in the discipline, plus a minimum of 5 years of verified work in the performance field. For more information, please review theFRCC Faculty Qualification Guideto find the minimum qualification requirements for faculty and part-time instructor positions. Welcoming. Respectful. Inclusive. Together, we are FRCC. For information on Front Range Community College's Security, including Clery Act/Crime Statistics for the campuses and surrounding area, viewFRCC's Annual Security Report.

• Design, build, and maintain AI-powered applications, services, and integrations as part of the AI Engineering team. • Implement solutions focused on AI agents, agentic workflows, automation, LLM-based applications, and AI-assisted business processes. • Build and integrate AI applications using technologies such as Python (FastAPI/Flask/Django) or equivalent frameworks, React frontends, and relevant AI/ML frameworks. • Implement AI solutions using AWS AI/ML services, including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and other AWS services for model hosting, inference, orchestration, data processing, monitoring, and security. • Work closely with the AI Tech Lead to align on architecture, technology choices, engineering standards, AI patterns, and rollout approaches. • Provide technical input and guidance to other engineers on AI implementation patterns, code quality, testing, observability, and production readiness. • Develop and integrate AI agents that interact with internal APIs, business workflows, enterprise systems, knowledge bases, and external tools in a safe and controlled way. • Build and maintain RAG-based solutions, including document ingestion, chunking, embeddings, vector search, retrieval logic, reranking, and grounding techniques. • Support the development and deployment of machine learning models and AI solutions into production environments. • Contribute to ML pipelines and MLOps practices, including data preparation, model training, experiment tracking, model deployment, monitoring, evaluation, and lifecycle management. • Integrate LLMs through APIs. • Implement AI evaluation approaches for LLM outputs, RAG quality, agent behavior, model performance, hallucination detection, safety, and reliability. • Support prompt engineering, prompt versioning, function calling, tool use, memory patterns, guardrails, and LLM application testing. • Design and consume APIs and contribute to cloud-based, scalable backend architectures. • Collaborate with product managers, engineers, data scientists, DevOps, security, and business stakeholders to deliver practical AI solutions. • Write clean, maintainable, testable, and well-documented code. • Support production rollouts, troubleshooting, monitoring, optimization, and continuous improvement of AI systems. • Stay current with modern AI technologies, frameworks, models, and engineering practices, and bring practical recommendations to the team.

Title: AI Engineer III Location: 3750 Market Street, Philadelphia, PA, USA 118,160-147,700 per year Salary Full Time Job Description: POSITION OVERVIEW NBME is seeking a highly skilled AI Engineer to join our team and take ownership of building, maintaining, and scaling AI-driven systems. This role is critical for translating research innovations into production-ready pipelines and tools that support multiple programs, products, and services. The AI Engineer will work closely with research, IT, and product teams to operationalize AI solutions, ensuring they are reliable, secure, and optimized for performance. This role has been designated as primarily remote, meaning it requires little onsite attendance. While this role can be designated as remote, you are offered the flexibility to select if you prefer to work primarily remotely, hybrid, or onsite. We're open to considering candidates from the following states: PA, NJ, DE, MD, TX, GA, IA, IL, IN, KS, NC, SC, TN, VT, WV. Please note that onsite interviews and onboarding at our Philadelphia office may be required for this role. If applicable, advance notice will be provided to support planning.* At NBME, we continue to innovate and improve how we fulfill the evolving needs of the healthcare community. This commitment starts and ends with the people at NBME. By recruiting and empowering talented individuals from various disciplines and backgrounds, which includes professionals with diverse life experiences, abilities, and perspectives, NBME can take a well-informed, robust approach to advancing medical education and assessment for years to come. RESPONSIBILITIES: - Design, implement, and maintain production-grade AI and NLP pipelines, including model training, deployment, monitoring, and updates. - Collaborate with research teams on pre-production research and to operationalize prototypes, ensuring reproducibility, scalability, and robustness. - Build and maintain infrastructure for embeddings, large language models, and other AI assets. - Optimize AI systems for performance, reliability, and cost-efficiency. - Implement and maintain monitoring, logging, and alerting for AI systems in production. - Ensure compliance with data security, privacy, and organizational standards. - Support multiple product teams by providing AI engineering expertise, tools, and best practices. - Contribute to technical documentation, knowledge sharing, and internal training initiatives. QUALIFICATIONS: - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field. - A minimum of 3 years of experience in AI/ML engineering, including model deployment, MLOps, system monitoring, and production pipelines. - Proficiency with Python and AI/ML libraries (e.g., PyTorch, TensorFlow, Hugging Face Transformers). - Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes). - Familiarity with vector databases, embeddings, and large-scale NLP applications. - Strong problem-solving skills and ability to work collaboratively in a cross-functional team. - Excellent communication skills for technical and non-technical stakeholders. Preferred Qualifications: - Experience in educational assessment or healthcare-related AI applications. - Experience with Agentic LLM architectures for complex task completion. About NBME NBME is a not-for-profit organization that specializes in the creation of assessments and learning tools for physicians and health professionals. Our mission is to advance assessment of these professionals to achieve optimal care for all, supporting the development of a highly effective, diverse and compassionate health care workforce. NBME's Community Collaborations and Contributions NBME believes that a key path to meeting our mission is collaborating with and supporting our communities. Our Community Collaborations and Contributions programs provide resources and recognition to medical educators and researchers advancing the field of assessment throughout their careers. In addition, we invest in fee assistance, scholarships and pathway programs to aid learners and help support increased representation in health care. Headquartered in Philadelphia, NBME also gives to local organizations that advance health equity and access and positively impact social determinants of health. Compensation we are offering for this position is at 118,160 (min) -- $147,700 /year. Please note that the offered rate for this position typically aligns with the minimum to midrange of this grade, but it can vary based on the successful candidate's qualifications and experience, department budget, and an internal equity review. The NBME offers competitive salaries, excellent benefits, and a rewarding work environment. Excellent Benefits include: Healthcare, Dental, Prescription, and Vision plans; 401(k) w/match, Tuition Reimbursement Plan, Commuter Benefit: Public Transit or Parking options. Remote Friendly Workplace. NBME is an Equal Opportunity Employer. We will consider all qualified applicants for employment without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. #LI-Remote #Senior #Associate

Role Description We are looking for a Senior AI Engineer to join our AI Engineering team and help design, build, and roll out production-grade AI solutions, with a strong focus on AI engineering, AI agents, agentic workflows, machine learning, GenAI, and LLM-based applications. This is a senior individual contributor role within the AI Engineering team. The Senior AI Engineer will work closely with the AI Tech Lead, engineering teams, product stakeholders, data teams, cloud/platform teams, and security teams to deliver reliable AI capabilities into real business systems. The technology stack is diverse and can include Python (FastAPI/Flask/Django) or equivalent frameworks; React on the frontend side, and various ML/AI frameworks, APIs, cloud-native services, along with modern AI tooling. The role will have a strong focus on AWS, including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and other AWS AI/ML services. Responsibilities - Design, build, and maintain AI-powered applications, services, and integrations as part of the AI Engineering team. - Implement solutions focused on AI agents, agentic workflows, automation, LLM-based applications, and AI-assisted business processes. - Build and integrate AI applications using technologies such as Python (FastAPI/Flask/Django) or equivalent frameworks, React frontends, and relevant AI/ML frameworks. - Implement AI solutions using AWS AI/ML services, including Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and other AWS services for model hosting, inference, orchestration, data processing, monitoring, and security. - Work closely with the AI Tech Lead to align on architecture, technology choices, engineering standards, AI patterns, and rollout approaches. - Provide technical input and guidance to other engineers on AI implementation patterns, code quality, testing, observability, and production readiness. - Develop and integrate AI agents that interact with internal APIs, business workflows, enterprise systems, knowledge bases, and external tools in a safe and controlled way. - Build and maintain RAG-based solutions, including document ingestion, chunking, embeddings, vector search, retrieval logic, reranking, and grounding techniques. - Support the development and deployment of machine learning models and AI solutions into production environments. - Contribute to ML pipelines and MLOps practices, including data preparation, model training, experiment tracking, model deployment, monitoring, evaluation, and lifecycle management. - Integrate LLMs through APIs. - Implement AI evaluation approaches for LLM outputs, RAG quality, agent behavior, model performance, hallucination detection, safety, and reliability. - Support prompt engineering, prompt versioning, function calling, tool use, memory patterns, guardrails, and LLM application testing. - Design and consume APIs and contribute to cloud-based, scalable backend architectures. - Collaborate with product managers, engineers, data scientists, DevOps, security, and business stakeholders to deliver practical AI solutions. - Write clean, maintainable, testable, and well-documented code. - Support production rollouts, troubleshooting, monitoring, optimization, and continuous improvement of AI systems. - Stay current with modern AI technologies, frameworks, models, and engineering practices, and bring practical recommendations to the team. Qualifications - Minimum 7-8 years of professional experience in software engineering, AI engineering, ML engineering, data science, or related technical roles. - At least 2-3 years of experience in AI development, ML engineering, or data science, with a demonstrated track record of deploying machine learning models and AI solutions in production environments. - Strong hands-on experience building production-grade AI, ML, and data-driven systems. - Practical experience with AI agents, agentic workflows, LLM-based applications, tool-calling architectures, workflow automation, and AI orchestration patterns. - Strong understanding of modern AI concepts, including deep learning, generative AI, LLMs, embeddings, RAG, LLM fine-tuning, and AI evaluation. - Strong Python development experience, including experience with Python (FastAPI/Flask/Django) or equivalent frameworks. - Some experience with React for building user-facing AI tools, internal applications, dashboards, or workflow interfaces. - Strong knowledge of AWS, including practical experience with cloud-native architectures, Amazon Bedrock, Amazon Bedrock AgentCore, Amazon SageMaker, and related AWS AI/ML services (the more, the better). - Experience with advanced LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar agent/orchestration frameworks. - Experience with PyTorch or TensorFlow, and familiarity with Hugging Face Transformers. - Hands-on experience using LLMs via APIs, such as OpenAI, Anthropic, Gemini, or similar providers. - Experience with ML pipelines and MLOps, including data preparation, model training, model deployment, experiment tracking, model/version management, monitoring, evaluation, and production support. - Experience with AI evaluation frameworks, tools, and techniques for assessing LLM outputs, RAG performance, agent behavior, model quality, safety, reliability, and regression over time. - Knowledge or practical experience with RLHF - human-in-the-loop evaluation, preference data, reward modeling, or feedback-driven model improvement. - Experience with vector databases and retrieval/search technologies, such as Amazon OpenSearch, Pinecone, pgvector, or similar. - Experience building RAG systems, including document ingestion, chunking strategies, embeddings, retrieval evaluation, reranking, and grounding techniques. - Experience with model fine-tuning, embedding models, transformer architectures, open-source LLMs, and model benchmarking. - Knowledge of API design, microservices, event-driven systems, and cloud-based architectures. - Good understanding of security and governance requirements for AI systems, including access control, secrets management, data privacy, audit logging, and safe handling of sensitive data. - Experience working in cross-functional teams with engineers, product managers, data scientists, DevOps, security, and business stakeholders. - Strong problem-solving skills and ability to turn AI prototypes into reliable, maintainable production systems. - Strong communication skills and ability to explain technical decisions clearly to both technical and non-technical stakeholders. Considered as an Advantage - Experience with Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, Amazon Bedrock Guardrails, or similar managed AI capabilities. - Experience with containerization and orchestration, including Docker and EKS/ECS. - Experience with infrastructure as code using Terraform, AWS CDK, or CloudFormation. - Experience with data platforms, ETL/ELT pipelines, data lakes, feature stores, and real-time data processing. - Experience implementing responsible AI controls, AI governance frameworks, safety guardrails, and compliance processes. - Experience with observability for AI systems, including tracing, cost monitoring, prompt/model analytics, latency tracking, and quality dashboards. - Experience integrating AI systems with enterprise platforms, internal APIs, CRM/ERP systems, ticketing systems, knowledge bases, and workflow engines. - Contributions to open-source AI/ML projects, published technical content, conference talks, or patents in AI/ML-related areas. - AWS certifications, especially in architecture, machine learning, security, or DevOps. - Experience in fintech. Benefits - Fast-growing payment company; - Excellent working conditions, casual atmosphere, and state-of-the-art hardware; - Modern, challenging, constantly growing business; - Professional development – books, trainings, certifications, etc.; - Team buildings and fun activities; - 25 days paid holiday, 1 day for every 2 years with us; - Fully distributed and remote.