This is a remote position. Our client, a mid-sized tech-driven commercial MGA and insurance wholesaler in the US, is seeking an AI Process Optimization Lead to drive real, measurable efficiency gains across the business. This role sits at the intersection of operations and AI. You’ll embed directly with teams (underwriting, claims, operations, finance), map workflows end-to-end, identify inefficiencies, and apply AI to improve speed, cost, and output. You’ll build and test solutions hands-on - from quick MVPs to AI-enabled workflows - and partner with product/engineering when scaling is needed. This is not a strategy-only role. You’ll be expected to move quickly, build, iterate, and deliver tangible results. The ideal candidate understands both business processes and AI well enough to translate problems into practical, high-impact solutions. Employment Type: Full-Time Permanent Location: MUST be physically located in the US (Visa sponsorship is not available) What You'll Do: - Embed with business teams across the company (underwriting, claims, wholesale, audits, operations, finance, product) to deeply understand current workflows, bottlenecks, and pain points. - Map end-to-end processes and identify specific opportunities where AI can automate, augment, or accelerate work - prioritized by business impact and feasibility. - Define velocity metrics for each function (submissions reviewed/day, time-to-quote, claims processed/day, close cycle time, etc.) and set measurable productivity targets. - Design and implement AI-powered workflow solutions - using approved tools and platforms - that deliver tangible throughput improvements. - Build and maintain dashboards and reporting to track velocity metrics across functions, making progress visible to leadership on a weekly and monthly cadence. - Serve as the primary liaison between business teams and engineering - translating business needs into technical requirements and ensuring AI solutions fit real workflows. - Lead change management for AI adoption - training teams, creating documentation, driving usage, and reinforcing that productivity improvement is an ongoing operating discipline. - Evaluate and recommend AI tools and platforms for company's approved toolset, working with engineering to vet for security, compliance, and data handling requirements. - Support the AI Committee with enterprise-wide velocity reporting, tool approval recommendations, and cross-functional best practice sharing. - Identify opportunities to replicate wins across company's 12+ product verticals - a workflow improvement in commercial auto that can be applied to construction, workers comp, and beyond. - Ensure all AI process solutions meet regulatory obligations (state insurance regulations, HIPAA for workers comp, CCPA) and data governance standards. Requirements - 5+ years of experience in process improvement, business operations, or consulting - with at least 2 years focused on AI/automation-driven transformation. - Demonstrated ability to map complex business processes, identify optimization opportunities, and deliver measurable improvements. - Experience with LLM-based tools and applications (ChatGPT, Claude, Copilot, or similar) for business process automation. - You must be an active, daily AI user - not someone who has read about it but someone who lives it. You have built custom AI skills and agents for your own work, incorporated third-party AI libraries and tools into your personal and professional workflows, and can demonstrate specific examples of how AI has changed the way you operate. We are looking for practitioners, not observers. - Strong proficiency with data analysis and visualization (SQL, Python, Excel, Tableau/Power BI, or similar). - Experience defining KPIs and velocity metrics, building measurement frameworks, and driving accountability against targets. - Excellent communication and stakeholder management skills - ability to work effectively with underwriters, claims adjusters, operations staff, and C-suite executives. - Experience leading change management for technology adoption across cross-functional teams. - Self-starter who thrives in a fast-paced, growth-stage environment with ambiguity. - Bachelor's degree in Business, Engineering, Computer Science, Data Science, or a related field. Benefits - Employee Ownership Program - every eligible employee shares in the financial rewards that grow when the company grows - Professional development opportunities - Owner Referral Program - Work from home reimbursement for remote/hybrid roles - Canary emergency financial assistance program - Comprehensive medical, dental, vision - Life/AD&D Insurance - Confidential, Employee Assistance Program - Health Savings Account, includes company contribution - Short-term disability - Voluntary benefits - supplemental accident, critical illness, hospital insurance - Employee discounts - 401(k) Plan with company match contribution - Addition Wealth Financial Wellness Program - Various Time Off Programs - 11 company paid holidays ------------------------ At Talencore, we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity. We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities - Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors. - Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability. - Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components. - Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions. - Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence. - Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior. - Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning. Qualifications Technical - 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows. - Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short. - Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. - Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems. Product & Pedagogy - Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions. - Ability to reason holistically across AI behavior, content structure, platform features, and user experience. - Familiarity with learning science or a desire to develop expertise. Character & Collaboration - Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions. - Preference for elegance and simplicity in system design. - Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team: - Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding. - Competitive compensation: We offer a competitive salary with attractive benefits. - Flexibility: Benefit from flexible working hours because the future is flexible! - Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. - Global retreats: Participate in international company retreats, fostering a global team spirit. - Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. - Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We’re building an AI Creator that turns learning into action—empowering users to instantly build, experiment, and solve real-world problems, transforming knowledge into tangible impact from day one.. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. About you You’re a strong builder who thrives on turning cutting-edge AI capabilities into real, high-impact products. You operate with high ownership, move quickly, and care deeply about quality—balancing experimentation with disciplined execution. You’re comfortable working in ambiguity but don’t wait for perfect direction—you break down problems, make progress, and iterate. You want to work on systems that matter, alongside people who are pushing the boundaries of how AI can transform learning. Responsibilities - Own the design and implementation of key components of the AI tutoring system, including prompt architectures, agentic workflows, and adaptive behaviors. - Drive experiments end-to-end—shipping, measuring, and iterating to improve learning outcomes and model performance. - Build production-grade systems that integrate LLM capabilities into user-facing experiences with reliability, speed, and scalability. - Translate product and pedagogical goals into concrete technical solutions, working closely with product, content, and design. - Rapidly prototype and deploy new model capabilities, bridging the gap between research breakthroughs and real user impact. - Strengthen system quality through robust testing, monitoring, and iteration—ensuring safe and consistent behavior at scale. - Raise the bar through strong code, pragmatic technical decisions, and active participation in design and code reviews. Qualifications Technical - Proven experience building and shipping LLM-powered products in production environments. - Strong prompt engineering skills and hands-on experience with agentic workflows or multi-step model interactions. - Solid grasp of experimentation—comfortable designing, running, and interpreting experiments to drive improvements. - Strong software engineering fundamentals (Python), with experience building scalable systems and working in modern production environments. Product & Pedagogy - Strong product instincts—able to connect model behavior to user experience and outcomes. - Interest in building effective learning experiences; curiosity about how people learn and where AI can accelerate that. - Ability to work closely with non-engineering stakeholders to ship cohesive, user-centered solutions. Character & Collaboration - High ownership and bias for action—you move things forward without waiting for perfect clarity. - Comfortable operating in fast-moving environments with evolving constraints. - Clear communicator who contributes to a strong, low-ego engineering culture. Why Datacamp? Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team: - Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding. - Competitive compensation: We offer a competitive salary with attractive benefits. - Flexibility: Benefit from flexible working hours because the future is flexible! - Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. - Global retreats: Participate in international company retreats, fostering a global team spirit. - Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. - Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

• Gainwell Technologies is seeking a highly skilled AI and GEN AI Engineer to design, develop, and deploy advanced AI and Generative AI (Gen AI) solutions, across our healthcare technology platforms. • This role involves building and optimizing AI and GEN AI technologies, integrating them into existing systems, and ensuring their effectiveness in improving healthcare outcomes and operational efficiency while maintaining compliance with industry standards. • Development based on AI/ GEN AI– Design, build, and train machine learning, deep learning, time series models, Gen AI (Multi modal LLMs), predictive analytics, Natural Language Processing, Image Processing solutions for healthcare applications. • Experienced in multiple LLM fine tuning techniques. • Experienced in building GEN AI solutions using RAG architecture. • Skilled in both Lang Chain and Lang Graph. • Experience in Agentic AI Frameworks and Workflow using Lang Chain, Lang Graph or Crew AI or Open AI Swarm. • Experienced in multiple Vector Databases as well as Graph Database. • Skilled in Agentic AI Framework and has built at least one solution using Agentic AI. • End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premises environments, ensuring reliability, scalability, and real-world impact. • Data Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. • System Integration – Skilled in API development and integrations. Implement and optimize AI models within Gain well’s existing technology stack, collaborating with software engineers to ensure seamless integration. • Experienced in ML Ops and LLM Ops. • Experienced in evaluating models and continuous performance monitoring of both ML/DL and LLMs. • Experienced in applying security measures in GEN AI solutions, implementing guard rails. • Performance Optimization – Continuously monitor, refine, and optimize AI / GEN AI models for accuracy, efficiency, and speed, leveraging ML Ops and LLM Ops best practices. • AI Research & Innovation – Stay updated with the latest AI/ML/ GEN AI advancements, exploring new technologies and methodologies to enhance solution effectiveness. • Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. • Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions. • Front End Development – Stream lit is a must. Good to have React, Angular or Vue.js. • Leadership Skills – Should be able to work as a team lead, interface with team leads of other functions/departments, understand business requirements and translate the same to an appropriate solution that is feasible to develop and deploy.