• Lead development efforts using .NET and Blazor. • Utilize GitHub Copilot for code generation and assistance. • Work with Visual Studio Professional/Visual Studio Code for application development. • Manage application hosting on Windows Server 2022, Kubernetes, and Docker. • Develop and maintain databases using MS SQL Server 2019. • Implement identity management solutions, including JWT token-based authentication. • Utilize Office 365 for email and collaboration. • Manage session state in JWT tokens stored in browser storage and in databases for high-sensitive data.

• Develop and execute enterprise-wide AI adoption strategies across delivery, strategy, operations, and corporate functions. • Build practical adoption roadmaps with defined milestones, ownership, success metrics, and ongoing execution. • Identify barriers to AI adoption and implement targeted strategies that increase engagement and accelerate behavioral change. • Partner with business leaders to integrate AI-enabled workflows into existing business processes. • Collaborate with the Head of AI to develop communication strategies that promote awareness, education, and realistic expectations around AI capabilities. • Help define AI competencies across job families and align enablement programs with Blue Acorn iCi’s career architecture. • Design and deliver role-based training programs, workshops, office hours, and self-service learning resources tailored to technical and non-technical audiences. • Coordinate and support the organization’s AI Champions Program, building an internal network of advocates that drive adoption across teams. • Develop practical playbooks, prompt libraries, templates, and best practices based on real client engagements and internal delivery experiences. • Maintain current training materials as AI technologies, platforms, and best practices continue to evolve. • Partner with Talent Management to integrate AI learning into existing onboarding and professional development programs. • Define, track, and report on AI adoption metrics and business impact across the organization. • Measure improvements in productivity, delivery quality, operational efficiency, and other key business outcomes. • Partner with leadership to establish baseline metrics and demonstrate the value of AI investments. • Gather user feedback and leverage data to continuously improve training programs, communications, and enablement strategies. • Identify opportunities to expand successful AI initiatives while addressing areas of slower adoption. • Partner with delivery leaders, technology teams, operations, and executive leadership to ensure consistent AI adoption across the organization. • Serve as a trusted advisor on AI enablement, organizational readiness, and change management best practices. • Support internal AI initiatives, pilot programs, and strategic innovation efforts. • Assist with developing client-facing enablement offerings by transforming successful internal programs into reusable consulting assets. • Promote a culture of continuous learning, experimentation, and responsible AI adoption throughout the organization.

Company Description Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide. #LI-Hybrid Job Description Are you passionate about AI and eager to drive innovation in a fast-paced, impact-driven environment? Do you have experience developing AI-powered applications and enjoy mentoring others? If so, we invite you to join Nexthink as an Senior AI Engineer! As a senior member of the AI team, you will prototype, mature, and ship AI-powered capabilities into Nexthink's cloud platform. You will lead architectural decisions, establish best practices, and ensure AI systems are scalable, observable, and production-grade. Responsibilities AI Engineering & Architecture - Design, develop, and operate production-grade AI/ML systems, including LLM-powered applications, NLP models, RAG pipelines, and multi-agent systems - Make key architectural decisions across model selection, training strategies, fine-tuning, retrieval mechanisms, orchestration layers, and infrastructure - Integrate external AI services (e.g., LLM providers) into Nexthink's cloud platform - Solve engineering challenges related to data collection, retrieval, evaluation, inference, latency, and cost optimization AI Done Right - Evaluation & Quality - Define robust online and offline evaluation frameworks and success metrics - Instrument dashboards and monitoring systems to track quality and detect regressions in production - Design automated evaluation pipelines for prompts, embeddings, models, and agent workflows - Ensure observability and reliability of AI systems at scale MLOps & Cloud Engineering - Implement and maintain reproducible ML pipelines and CI/CD workflows for AI components - Manage deployment, monitoring, and lifecycle of models and AI artifacts in production - Optimize systems for scalability, performance, throughput, and cost - Work with AWS (or equivalent cloud platforms), Docker, and orchestration frameworks (Kubernetes/ECS) Product & Cross-Functional Collaboration - Collaborate closely with product managers, designers, software engineers, and data scientists - Translate ambiguous product requirements into incremental, testable engineering plans - Proactively propose new AI capabilities based on user insights and technology advancements - Communicate complex AI concepts clearly to both technical and non-technical stakeholders Leadership & Mentorship - Mentor and coach junior AI engineers in production best practices - Establish engineering standards and AI best practices within the team - Foster a culture of experimentation, learning, and knowledge sharing Qualifications - Bsc/Master's degree in Computer Science, Machine Learning, Data Science, or a related field. - 5+ years of professional software engineering experience, including shipping and operating cloud services in production - Hands-on experience in LLM-powered production applications or ML/NLP applications. - Strong proficiency in Python and AI frameworks - Strong understanding of machine learning fundamentals (supervised/unsupervised learning, optimization, model evaluation). - Solid understanding of machine learning fundamentals (training, optimization, evaluation) - Experience with NLP systems (embeddings, semantic search, retrieval systems, text classification, etc.) - Experience integrating and operating LLMs (prompting, evaluation, observability, RAG, agentic workflows) - Hands-on MLOps experience: reproducible pipelines, experiment tracking, automated evaluation, CI/CD for models and prompts - Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. - Strong data intuition: ability to inspect logs, design metrics, and quickly identify regressions - Proven experience with AWS and cloud-based AI deployments. - Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. Strong Plus - Strong AWS (or equivalent cloud platform) experience for scalable AI infrastructure. - Experience optimizing models for latency, throughput, and cost. - Experience fine-tuning large language models. - Familiarity with multi-agent systems and orchestration frameworks. - Experience designing AI systems in enterprise or B2B environments. If you're excited about pushing the boundaries of AI and mentoring the next generation of engineers, we'd love to hear from you! Even if you don't meet every requirement, we encourage you to apply-we value expertise, passion, and the drive to learn. Additional Information We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers' IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace. With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees 'Nexthinkers' and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages. If you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer: - Permanent Contract and a competitive compensation package. - Beautiful office, conveniently located next to the Prilly-Malley train station - Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding. - Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 25 days of holidays we offer) plus 3 company-paid volunteer days. - Free access to a fitness centre inside the building. - Reimbursement of the half-fare travel card for public transport. - ‍ Reimbursement up to 50% of the cost of French classes. - Fresh fruit, cookies, and soft drinks as well. - Regular company and team events like Voluntary Days, Pizza talks, Team Building activities, hosting Meetups at the office and more! - Bonuses for referring successful hires after three months of continuous employment. - We offer a relocation package to people who are coming from another country. Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.

Role Description Formarás parte del equipo de Data & AI de uno de nuestros clientes más importantes del sector financiero en LATAM. Como Senior Artificial Intelligence Engineer, participarás en el diseño, construcción y evolución de soluciones de Inteligencia Artificial que integran modelos tradicionales y generativos con plataformas corporativas, datos y procesos críticos del negocio. Este rol tendrá una participación activa desde el diseño de la arquitectura técnica hasta la operación y mejora continua de soluciones desplegadas en producción. Responsibilities - Diseñar y desarrollar soluciones de Inteligencia Artificial listas para producción utilizando modelos tradicionales y Generative AI. - Liderar técnicamente la implementación de arquitecturas basadas en LLMs, RAG y agentes inteligentes. - Diseñar APIs, microservicios y componentes reutilizables para acelerar nuevas iniciativas de IA. - Integrar modelos de IA con sistemas corporativos, plataformas cloud y fuentes de datos estructurados y no estructurados. - Diseñar arquitecturas escalables sobre Azure, AWS o GCP considerando disponibilidad, seguridad y mantenibilidad. - Implementar prácticas de MLOps y LLMOps para automatizar despliegues, versionamiento, monitoreo y operación de modelos. - Diseñar e implementar pipelines de procesamiento de datos (ETL/ELT) para soluciones de IA. - Definir estrategias de evaluación, observabilidad y monitoreo del desempeño de modelos y agentes. - Colaborar con equipos de negocio para transformar requerimientos funcionales en soluciones técnicas de alto impacto. - Promover buenas prácticas de arquitectura, calidad, seguridad y gobernanza dentro de las iniciativas de Inteligencia Artificial. Expected Results - Implementar soluciones de IA utilizadas en producción con impacto medible en el negocio. - Reducir el tiempo de desarrollo e implementación mediante arquitecturas reutilizables. - Diseñar componentes escalables que aceleren futuras iniciativas de IA. - Garantizar soluciones con alta disponibilidad, observabilidad y desempeño. - Mejorar continuamente la calidad y precisión de modelos y agentes desplegados. - Cumplir con estándares de seguridad, gobernanza y buenas prácticas de ingeniería. Qualifications - Más de 5 años de experiencia en desarrollo de software. - Más de 3 años implementando soluciones de Inteligencia Artificial en ambientes productivos. - Experiencia diseñando e implementando soluciones end-to-end, desde la experimentación hasta el despliegue en producción. - Experiencia colaborando con equipos multidisciplinarios y stakeholders de negocio. - Deseable experiencia en industrias reguladas como sector financiero, seguros, salud o fintech. Technical Knowledge - Python avanzado. - SQL avanzado. - Desarrollo de APIs REST y microservicios. - Node.js (deseable para integraciones y servicios). - Modelos de Lenguaje (LLMs). - Retrieval-Augmented Generation (RAG). - Prompt Engineering. - Agentes de IA. - Machine Learning tradicional. - Integración de modelos fundacionales dentro de aplicaciones empresariales. Cloud Experience - Experiencia trabajando con al menos una de las siguientes plataformas: - Microsoft Azure - Amazon Web Services (AWS) - Google Cloud Platform (GCP) Data Knowledge - Diseño e implementación de procesos ETL/ELT. - Procesamiento de datos estructurados y no estructurados. - Integración de múltiples fuentes de información. MLOps / LLMOps - Automatización de despliegues mediante CI/CD. - Versionamiento de modelos. - Contenerización con Docker. - Monitoreo y observabilidad de modelos y servicios de IA. Preferred Experience - Arquitecturas RAG y agentes inteligentes en producción. - Integración de modelos de IA con sistemas empresariales. - Evaluación y optimización de respuestas de modelos. - Observabilidad y monitoreo de soluciones basadas en LLMs. - Optimización de costos y rendimiento de inferencia. - Diseño de componentes reutilizables para plataformas de IA. Profile Buscamos una persona con mentalidad builder, capaz de transformar una necesidad de negocio en una solución de Inteligencia Artificial lista para producción. Esperamos un perfil que combine visión de arquitectura, desarrollo de software, integración de plataformas cloud y criterio técnico para construir soluciones escalables, mantenibles y orientadas a generar impacto en el negocio. Education - Ingeniería en Informática, Ciencias de la Computación, Software o carreras afines. - Certificaciones o estudios de posgrado relacionados con Inteligencia Artificial, Machine Learning o Cloud serán considerados un plus. Benefits - Integración a marcas globales y startups disruptivas. - Trabajo remoto/Home office. - En caso de requerir modalidad híbrida o presencial, serás informado desde la primera sesión. - Horario ajustado a la célula de trabajo/proyecto asignado. - Trabajo de lunes a viernes. - Seguro de gastos médicos mayores (aplica para México). - Seguro de vida (aplica para México). - Equipos de trabajo multiculturales. - Acceso a cursos y certificaciones. - Meetups con invitados especiales del área de IT. - Eventos virtuales de integración y grupos de interés. - Clases de inglés. - Oportunidades dentro de nuestras diferentes líneas de negocio. - Orgullosamente certificados como Great Place to Work.