*This position does not provide sponsorship for employment now, or in the future, in any format. Position Summary: The Applied Artificial Intelligence Engineer is part of the Education Design and Informatics team within the Office of Health Sciences Education at Vanderbilt University School of Medicine. The Education Design & Informatics Team (EDI) is responsible for technology, instructional design, data infrastructure, and quality improvement for Vanderbilt's MD program and affiliated health professions education. We maintain a comprehensive education data lake in Databricks, a custom digital learning platform (VSTAR), and a vision for AI-augmented medical education that we're ready to operationalize. We're seeking an AI Engineer to help us realize our vision for precision medical education—using data and AI to personalize learning, predict learner needs, and improve educational outcomes at scale. You'll be our first dedicated AI/ML role, working alongside a data engineer, full-stack developers, and instructional designers to build intelligent features into our products. Near-term priorities include LLM-powered tools for learners and educators, semantic search across educational content, recommendation systems for personalized learning pathways, and integration of AI capabilities into VSTAR. As our AI maturity grows, you'll also contribute to predictive modeling efforts, including early identification of at-risk learners and competency progression analytics. This is a high-ownership, foundational role. You'll shape AI strategy and implementation from the ground up, taking features from concept through production deployment. You'll work closely with educational leadership to identify opportunities where AI can meaningfully improve how we train future physicians. This position is fully remote and reports directly to the Director of Education Design & Informatics. Open to hybrid availability if interested. About the Work Unit: The Office of Health Sciences Education (OHSE) administers the degree programs of the Vanderbilt University School of Medicine (VUSM) and supports its mission to catalyze impactful discovery, servant leadership, and lifelong learning. OHSE staff provide comprehensive support across academic program administration, educational design and informatics, student services, and financial and operational oversight. In alignment with VUSM’s commitment to excellence, OHSE works to prepare future leaders in the health professions who are equipped with the knowledge, skills, and judgment needed to deliver safe, effective, ethical, and patient-centered care. Our students are encouraged to think critically, foster innovation, and understand the broader systems and social factors that shape health outcomes—empowering them to advocate for positive change in both local and global communities. Key Functions and Expected Performance: AI Application Development • Design and build AI-powered features for VSTAR and other EDI platforms, including intelligent tutoring capabilities, semantic search, content recommendations, and LLM-based tools for learners and educators • Apply appropriate AI implementation patterns and strategies such as RAG architectures, agentic workflows, prompt engineering strategies, and LLM orchestration patterns appropriate to educational use cases • Develop backend services and APIs that expose AI capabilities for integration into VSTAR and other applications, working with the development team to determine appropriate integration patterns • Evaluate vender versus open-source AI products and services based on performance, cost, and reliability considerations • Ensure responsible AI practices, including appropriate guardrails, content filtering, and transparency in AI- assisted features ML Engineering & Production Systems • Build and maintain ML pipelines in Databricks for feature engineering, model training, and evaluation • Deploy models and AI services to production with appropriate monitoring, logging, and error handling • Implement MLOps practices proportionate to our maturity: version control, testing, documentation, and reproducibility • Ensure performance, reliability, and scalability of AI-powered services • Own the full lifecycle of deployed AI features, including maintenance, iteration, and retirement • Contribute to predictive modeling initiatives addressing educational challenges such as learner performance prediction, early intervention identification, and resource optimization Collaboration & Strategy • Partner with data engineering to ensure AI systems integrate cleanly with our data infrastructure • Collaborate with software developers to integrate AI features into existing applications • Proactively communicate progress, challenges, and decisions to the team through regular check-ins, documentation, and asynchronous updates • Work with product and educational leadership to identify high-impact AI opportunities • Contribute to EDI's AI strategy and help establish best practices for responsible AI development in medical education • Maintain clear documentation and support knowledge sharing across the team • Stay current with developments in AI tooling, particularly as they apply to education and knowledge work Education and Certifications: • A Bachelor’s degree in a related field from an accredited institution of higher education is necessary. Experience and Skills: • 5 – 7 years of experience i s required. • Experience in applied machine learning, AI engineering, or a related field (3+ years) is necessary. • Strong Python skills and experience with ML frameworks such as scikit-learn, PyTorch, or TensorFlow (3+ years) i s necessary. • Hands-on experience building applications with LLMs, including prompt engineering, embeddings, retrieval-augmented generation, and agents (1+ years) is necessary. • Experience developing backend services (FastAPI, Flask, or similar) and RESTful APIs (1+ years) is necessary. • Track record of deploying AI or ML features to production environments (1+ years) is necessary. • Comfort with SQL and working with data pipelines (3+ years) is necessary. • Ability to communicate technical concepts clearly to non-technical audiences (3+ years) is necessary. • Experience with Databricks and Azure cloud services (1+ years) is preferred. • Familiarity with MLOps tools and practices (MLflow, model registries, CI/CD for ML) (1+ years) is preferred. • Experience with vector databases (Pinecone, Weaviate, Chroma, or similar) (1+ years) is preferred. • Experience working with multiple LLM providers or open source LLMs and evaluating tradeoffs (1+ years) is preferred. • Background in building predictive models (classification, regression, forecasting) (1+ years) is preferred. • Experience in education, healthcare, or other mission-driven sectors (1+ years) is preferred. • Familiarity with the unique considerations of AI in educational contexts (pedagogical alignment, learner privacy, appropriate automation) (1+ years) is preferred. Demonstrated self-direction and ownership mentality in previous roles is necessary. At Vanderbilt University , our work - regardless of title or role - is in service to an important and noble mission in which every member of our community serves in advancing knowledge and transforming lives on a daily basis. Located in Nashville, Tennessee, on a 330+ acre campus and arboretum dating back to 1873, Vanderbilt is proud to have been named as one of “America’s Best Large Employers” as well as a top employer in Tennessee and the Nashville metropolitan area by Forbes for several years running. We welcome those who are interested in learning and growing professionally with an employer that strives to create, foster and sustain opportunities as an employer of choice. We understand you have a choice when choosing where to work and pursue a career. We understand you are unique and have a story. We want to hear it. We encourage you to apply today so that you might become a part of our story. Vanderbilt University is an equal-opportunity employer. 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, or any other characteristic protected by law.

Company Overview Acentra Health exists to empower better health outcomes through technology, services, and clinical expertise. Our mission is to innovate health solutions that deliver maximum value and impact. Lead the Way is our rallying cry at Acentra Health. Think of it as an open invitation to embrace the mission of the company; to actively engage in problem-solving; and to take ownership of your work every day. Acentra Health offers you unparalleled opportunities. In fact, you have all you need to take charge of your career and accelerate better outcomes – making this a great time to join our team of passionate individuals dedicated to being a vital partner for health solutions in the public sector. Job Summary and Responsibilities Acentra Health is looking for a Machine Learning Engineer/AI Engineer to join our growing team. Job Summary: Work at the intersection of applied AI, data science, and software engineering, building, optimizing, and integrating machine learning (ML) and large language model (LLM) solutions. This role emphasizes generative AI (GenAI), retrieval-augmented generation (RAG), and natural language processing (NLP) to drive innovation, improve healthcare outcomes, and create operational efficiencies. The ideal candidate has experience deploying ML/LLM solutions in production, exposure to MLOps/LLMOps, and a strong ability to mentor engineers. They combine technical excellence with problem-solving skills to deliver scalable, compliant, and impactful AI solutions in the healthcare domain * Position is remote, but candidates based in Raleigh/Durham/Cary, NC or DC area preferred. * Responsibilities: - Design, develop, and deploy LLM-powered applications (e.g. summarization, intelligent assistants, document processing, automation) - Strong skills in API development and system integration, with the ability to contribute across the full stack - Build and optimize RAG pipelines using embeddings and vector databases (e.g., Pinecone, Weaviate, FAISS) - Support ML pipelines including data preparation, training workflows, and deployment into applications - Support and implement MLOps/LLMOps practices such as CI/CD pipelines, versioning, monitoring, retraining, and governance - Mentor and coach engineers on best practices, solution architecture, and applied AI strategies - Partner with business and product teams to translate requirements into effective AI solutions - Stay current on advances in LLMs, GenAI, and compliance requirements (HIPAA, GDPR, FDA) - Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules Qualifications Required Qualifications: - Bachelor’s degree in computer science, Data Science, or related field (Master's or PhD preferred) - 4+ years of experience as an ML/AI Engineer with proven applied AI/LLM deployments - Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch, Hugging Face, scikit-learn) - Hands-on experience with LLMs, embeddings, vector DBs, and RAG pipelines - Cloud experience with AWS and Azure for deploying and managing AI systems - Familiarity with MLOps/LLMOps and CI/CD practices - Experience deploying ML/LLM systems in healthcare or other regulated environments - Excellent communication skills and experience mentoring and collaborating with engineers Preferred Qualifications/Experience: - Experience with LangChain, LlamaIndex, or agentic AI frameworks (AutoGen, CrewAI, Semantic Kernel) - Exposure to multi-agent system design and implementation - Knowledge of healthcare data standards (HL7, FHIR) and compliance (HIPAA) Why us? We are a team of experienced and caring leaders, clinicians, pioneering technologists, and industry professionals who come together to redefine expectations for the healthcare industry. State and federal healthcare agencies, providers, and employers turn to us as their vital partner to ensure better healthcare and improve health outcomes. We do this through our people. You will have meaningful work that genuinely improves people's lives across the country. We are a company that cares about our employees, and we give you the tools and encouragement you need to achieve the finest work of your career. Benefits Benefits are a key component of your rewards package. Our benefits are designed to provide you with additional protection, security, and support for both your career and your life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more. Compensation The pay range for this position is listed below. “Based on our compensation philosophy, an applicant’s position placement in the pay range will depend on various considerations, such as years of applicable experience and skill level.” Thank You! We know your time is valuable and we thank you for applying for this position. Due to the high volume of applicants, only those who are chosen to advance in our interview process will be contacted. We sincerely appreciate your interest in Acentra Health and invite you to apply to future openings that may be of interest. Best of luck in your search! ~ The Acentra Health Talent Acquisition Team Visit us at https://careers.acentra.com/jobs EEO AA M/F/Vet/Disability Acentra Health is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, status as a protected veteran or any other status protected by applicable Federal, State or Local law. #LI-SF1 Pay Range USD $97,040.00 - USD $130,000.00 /Yr.

Helping careers take flight. Reshaping an industry. Enable your career to be Made on Duck Creek.       WHO WE ARE:    Duck Creek Technologies is the intelligent solutions provider defining the future of the property and casualty (P&C) and general insurance industry. We are the platform upon which modern insurance systems are built, enabling the industry to capitalize on the power of the cloud to run agile, intelligent, and evergreen operations. Our modern SaaS solutions help insurers set a new standard and revolutionize how consumers interact with insurance companies.       Authenticity, purpose, and transparency are core to Duck Creek, and we believe insurance should be there for individuals and businesses when, where, and how they need it most. Our market-leading solutions are available on a standalone basis or as a full suite, and all are available via Duck Creek OnDemand. With more than 1,000 successful implementations to date, Duck Creek removes the IT burden for insurers so they can focus on the business of insurance.      We have a flock of more than 1,700 employees across the globe and are proud to be a Flexible-First employer. We empower our employees with the choice to work from an office, from home, or on a hybrid schedule. Our flexible-first environment fosters productivity, inclusion, collaboration, and ensures a consistent employee experience regardless of location.      If working in a fast-paced, rapidly evolving company that is transforming one of the world’s oldest and largest industries sounds exciting, let us know. We are excited you are considering Duck Creek as a future employer and hope you decide to join “The Flock”!      To learn more about us, visit www.duckcreek.com and follow us on our social channels for the latest information – LinkedIn and Twitter.     TITLE: Principal Software Engineer - GenAI WHAT YOU’LL DO:  As a Principal Software Engineer on the GenAI team, you will drive the technical vision and execution of advanced AI-powered solutions across multiple initiatives. You will design and implement scalable, secure, and high-performing systems that leverage large language models (LLMs), retrieval-augmented generation (RAG), and AI-driven services. This role requires deep technical expertise, hands-on coding, and the ability to align multiple engineering teams toward a shared vision. Key responsibilities include: - Lead technical strategy for GenAI-based products and platforms, ensuring alignment with enterprise architecture and business goals. - Design and implement core AI services, including model orchestration, prompt engineering frameworks, and inference pipelines. - Collaborate with data scientists and ML engineers to integrate LLMs and fine-tuned models into production systems. - Architect and deliver solutions for high-complexity Agile stories across multiple domains, ensuring scalability and resilience. - Mentor and guide engineers on modern AI development practices, including distributed systems, model deployment, and performance optimization. - Ensure compliance and security in AI solutions, including data privacy, responsible AI principles, and model governance. - Debug and resolve complex issues in distributed AI systems, ensuring minimal downtime and high availability. - Champion CI/CD and MLOps practices for continuous delivery of AI features and models. - Participate in hiring and talent development for the GenAI team. - Perform other related duties and activities as required. WHAT YOU’VE DONE:  - Bachelor’s degree, or higher education level, or its foreign equivalent, in Computer Science, Computer Information Sciences, and/or related field - Total Work Experience: 7+ years (software development), 5+ years of strategic leadership experience SPECIALIZED KNOWLEDGE, SKILLS, AND/OR ABILITIES: - Expert of scalable, resilient, modern, cloud-native microservice development with Java, .NET, Python, or Typescript - Expert in distributed software patterns, such as DDD, microservices, serverless, and event-driven architecture - Expert with CI/CD to deliver software enhancements to customers with full automation - Expertise in AI/ML systems: LLM integration, RAG pipelines, vector databases, and prompt engineering. - Experience in Cloud platforms and cloud-native architectures, including Serverless - Hands-on experience with transformer-based models, Hugging Face, LangChain, or similar frameworks. - Knowledge of data security, compliance, and responsible AI principles. - Experience with Terraform/Ansible or other IaC platforms - Experience with CQRS, event-driven architecture, and Kafka - Experience building monitoring, alerting, and observability for maintaining high customer SLAs for SaaS delivered products - Excels in the ability to lead, teach, and guide modern software-development practices across Product Development, operating independently with guidance WHAT ADDITIONAL INFORMATION YOU MAY WANT TO KNOW:    Travel: 0-10% Location: Remote US Work Authorization: Legally authorized to work in the country of job location. The Company does not sponsor visa petitions for this position. Duck Creek Technologies supports a flexible-first work environment and has employees throughout the United States. Based on a fair and equitable compensation philosophy, we have five (5) United States pay markets based on regional validated survey market data. The expected salary range for this position is between $136,100 and $219,600. This position is also eligible for annual bonuses. The final compensation may vary due to the above listed factors and be determined based on experience and other factors permitted by law. We also offer a competitive benefits package that includes: ▸Flexible work environment ▸Medical, dental, vision, life and disability insurance ▸401(k) Retirement Plan ▸Flexible Spending & Health Savings Account ▸Paid holidays, vacation, and volunteer time ▸Employee assistance program and other benefits. The application window will remain open until the position is filled or until a sufficient number of qualified candidates have been identified. WHAT WE STAND FOR:    Our global company celebrates & leverages the differences each employee brings to the table. Our success is a direct result of an inclusive culture where opportunities to learn from one another occur regardless of title, seniority, or background. This collaborative and team-oriented approach is at the core of how we operate and continuously improve our products, services, and systems.  As such, Duck Creek is committed to providing equal opportunity to all employees and applicants – to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, gender, religion, sexual orientation, age, national origin, disability, marital, military, or any other protected status.      We strive to be an example to the world of inclusion, diversity, and equity in all things – where employees are free to be their authentic selves in the workplace and in the communities in which we live. We believe in leading by example and are proud of the diversity of our team and our shared commitment to our Core Values: We Prioritize Respect; We Listen; We Care; We Add Value; and We Lead.    To learn more about our inclusive company culture, values, DE&I initiatives, and people, please visit: https://www.duckcreek.com/life-at-duck-creek/.     Please let us know if you encounter accessibility barriers with our web content by sending an email to accessibility@duckcreek.com.     Privacy Notice: By submitting your application, you acknowledge that Duck Creek Technologies may collect and process your personal data for recruitment purposes in accordance with our Privacy Notice and applicable data protection laws. Duck Creek Technologies does not accept, nor will we pay a fee for any hires resulting from unsolicited headhunter or agency resumes.    #LI-HS #LI-Remote

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry. - Build RAG systems: - Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. - Build LLM powered agent systems: - Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. - Solve complex problems: - Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. - Collaborate cross-functionally: - Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations. Qualifications - 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. - Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation. - Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction. - Experience with vector or graph databases. - Experience with document chunking, embedding models, and context window optimization. - Familiarity with metadata-based retrieval and re-ranking strategies. - Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency). - Familiarity with data security, versioning, and MLOps principles. Requirements - Experience with enterprise AI applications with strict compliance, audit, or legal requirements. - Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements. - Experience with multi-modal search. - Experience with graph based recommendation systems, such as graph NN. - Experience with developing AI applications powered by agent-based systems. - Experience with packaging, CI/CD and pipeline automation. Benefits - Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being. - Retirement Planning: We offer a 401(k) plan to help you plan for your future. - Learning & Development: We provide an annual education budget and a comprehensive L&D program. - Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness. - Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success. Company Description With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.