• Serve as the primary AI engineering partner to the CEO and executive leadership team, translating ideas, strategic questions, and emerging concepts into production-ready AI agents and workflows with minimal oversight. • Independently take ideas from concept to production, shaping problem statements, designing system architecture, implementing code, validating outputs, and operationalizing solutions without requiring heavy product or engineering management. • Design and implement complex, multi-step agentic workflows, including multi-agent orchestration, retrieval-augmented generation (RAG), tool use, memory strategies, evaluation frameworks, and cross-system automation. • Develop production-grade AI systems using modern LLMs, orchestration frameworks, and internal tooling, with strong attention to scalability, performance, observability, and clean engineering practices. • Operationalize AI responsibly by implementing guardrails, structured evaluations, monitoring, and validation layers to ensure predictable behavior, reliability, and compliance. • Partner closely with Security and Legal to properly gate sensitive use cases, implementing access controls, audit logging, data minimization, and enterprise-grade governance patterns while balancing safety and speed. • Translate ambiguous, high-visibility problems into clear technical solutions, balancing speed, quality, and risk while maintaining a high bar for accuracy and trust. • Evaluate, select, and rationalize AI tools and platforms, contributing to capability-to-tool decisions and ensuring consolidation, security alignment, and long-term sustainability across the enterprise. • Support post-launch adoption and iteration, incorporating feedback, refining workflows, and continuously improving performance, usability, and measurable impact. • Contribute to org-wide AI maturity by documenting architectural patterns, sharing best practices, and establishing repeatable approaches that elevate internal AI capabilities across Webflow.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we’ve built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. Challenges: -Execute and govern integration standards defined by Solution Architecture -Operate and manage API and integration platforms -Ensure API and integration security -Ensure end-to-end integration observability -Support synchronous and asynchronous integrations -Enable teams and vendors on integrations -Ensure reliability and quality of integrations Skills -Hands-on experience with Azure and/or AWS -REST API Design and Development: OpenAPI/Swagger, API versioning, authentication patterns -Integration in microservices architecture -API Management with Azure APIM - API Gateway Patterns: Rate limiting, caching, request/response transformation -Version control with Git -Monitoring and Observability: metrics, alerts and dashboards -Infrastructure as a code (IaC) with Terraform Nice to have -API Analytics: Usage patterns, performance optimization -Experience with SaaS integrations (SAP, Salesforce) Soft Skills -Fluency in Portuguese and/or Spanish, and English -Ability to work with external partners and vendors -Documentation and knowledge sharing capabilities Our benefits: -Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt-br/carreiras At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.

We're looking for a Principal AI Engineer - United States This role is Remote, United StatesJob Title : Principal AI Engineer Location : Dublin, CA Years of Experience : 8–10 years of hands-on software engineering experience, including building and scaling AI-powered systems in production Position Overview We are seeking a Principal AI Engineer to design, build, and scale AI-driven systems across our product platforms. This role is ideal for a deeply technical engineer who leads through hands-on contribution, solves complex problems, and drives the adoption of AI into real-world products. The ideal candidate brings strong backend and cloud fundamentals, mandatory experience with Java and AWS, and proven experience integrating AI and Generative AI capabilities into production systems. You will work closely with product, architecture, and engineering teams to deliver reliable, scalable, AI-enabled solutions that create meaningful business impact. Key Responsibilities AI Engineering & System Design • Design, build, and operate AI-powered applications, including LLM-based services, ML-driven workflows, and intelligent automation. • Integrate AI capabilities into Java-based backend systems and cloud-native platforms. • Design scalable API-first services (REST & GraphQL) exposing AI capabilities across products. • Implement data pipelines supporting feature engineering, retrieval-augmented generation (RAG), vector search, and inference. • Apply best practices for prompt design, model orchestration, evaluation, and observability. Cloud & Platform Engineering (AWS – Must Have) • Build and operate cloud-native AI systems on AWS, including EC2, S3, RDS, Lambda, and EKS. • Design containerized workloads using Docker and Kubernetes (EKS). • Optimize systems for scalability, latency, reliability, and cost efficiency. • Implement Infrastructure as Code using Terraform or AWS CDK. Data & Distributed Systems • Design and operate relational (SQL) and NoSQL data stores for high-scale, distributed systems. • Make informed trade-offs around data consistency, availability, and performance. • Work with event-driven and asynchronous architectures where appropriate. Technical Leadership & Impact • Lead complex technical initiatives end-to-end, from design through production deployment. • Influence system design and engineering standards across teams through design reviews and technical guidance. • Mentor senior engineers and raise the overall bar for AI and cloud engineering excellence. • Collaborate with Product, Data, UX, Security, and DevOps teams to deliver AI-driven product capabilities. Qualifications and Skills Required (Must Have) • 8–10 years of hands-on software engineering experience building large-scale, production systems. • Strong, hands-on experience with Java in backend and distributed systems. • Mandatory, hands-on experience with AWS, including designing and operating cloud-native workloads. • Strong experience with SQL and NoSQL databases in production environments. • 3+ years of experience building AI-powered applications, including ML or LLM-based systems. • Experience with API-first architectures (REST, GraphQL). • Hands-on experience with Docker and Kubernetes (EKS). • Strong problem-solving skills and ability to own systems end-to-end. Nice to Have • Experience with Generative AI platforms and frameworks (AWS Bedrock, OpenAI APIs, LangChain, LlamaIndex). • Experience with vector databases and semantic search. • Familiarity with MLOps practices, model monitoring, and evaluation frameworks. • Experience working in product-driven, agile environments. Leveling Guidance • Senior AI Engineer: Owns complex components and services; strong execution and technical depth. • Principal AI Engineer: Owns multi-team technical initiatives; influences architecture and engineering standards across the organization. Why Join Us? • Real AI Impact: Build AI systems that ship, scale, and deliver customer value. • Hands-On Leadership: Lead through deep technical contribution. • Modern Stack: Java, AWS, Kubernetes (EKS), SQL/NoSQL, and Generative AI. • Collaboration: Work with strong product, data, and engineering partners. • Core Values: Be part of a company that lives by Shattering Boundaries, Sparking Greatness, and Sharing Success. Our Culture: Spark Greatness. Shatter Boundaries. Share Success. Are you ready? Because here, right now – is where the future of work is happening. Where curious disruptors and change innovators like you are helping communities and customers enable everyone – anywhere – to learn, grow and advance. To be better tomorrow than they are today. Who We Are: Cornerstone powers the potential of organizations and their people to thrive in a changing world. Cornerstone Galaxy, the complete AI-powered workforce agility platform, meets organizations where they are. With Galaxy, organizations can identify skills gaps and development opportunities, retain and engage top talent, and provide multimodal learning experiences to meet the diverse needs of the modern workforce. More than 7,000 organizations and 100 million+ users in 180+ countries and in nearly 50 languages use Cornerstone Galaxy to build high-performing, future-ready organizations and people today. Total Rewards: At Cornerstone, we are dedicated to inspiring excellence and pushing boundaries in everything we do. Our compensation strategy is based on three fundamental principles: equitable pay, market-driven research, and skill-based appraisals. As part of our mission to share success and empower individuals to thrive in an ever-changing world, the listed salary range is just one element of Cornerstone’s comprehensive compensation package. This compensation package may also include annual bonuses, short- and program-specific awards depending on the role, and a comprehensive benefit offering. The disclosed salary range reflects the geographic differential based on the location of the position if applicable. The starting salary for the successful applicant will depend on several job-related factors, including education, training, experience, certifications, location, business needs, and market demands. This range is based on a full-time position and may be adjusted in the future. Join us in shaping the future of work — tomorrow, together. Experience flexibility and empowerment in your career at Cornerstone. The BASE salary range for this position is: 151200 - 241900 USD. Check us out on LinkedIn, Comparably, Glassdoor, and Facebook! Equal Employment Opportunity has been, and will continue to be, a fundamental commitment at Cornerstone OnDemand. All qualified applicants are given consideration regardless of race, religion, color, gender, sex, age, sexual orientation, gender identity, national origin, marital status, citizenship status, disability, veteran status, or any other protected class as provided in applicable Federal, State, or Local fair employment laws. If you have a disability or special need that requires accommodation, please contact us at careers@csod.com or +1 855 454 8433. Read the EEO is the Law poster here, and the supplementary poster here Read the Read the Pay Transparency Nondiscrimination Provision poster here

SRE Support Engineer While this position is not currently open, we are interviewing strong candidates for upcoming opportunities on this team. Location: Remote | Time Zone: (iNDIA) (8AM–5PM IST) Domain: Compute (Linux Fundamentals, Linux Networking, Kubernetes, Docker) About Virtasant Virtasant is a global technology services company delivering large-scale cloud, data, and engineering solutions across 130+ countries. We partner with some of the world’s largest organizations to help them build, operate, and scale internal platforms used by tens of thousands of engineers. For this role, you will be supporting one of the most advanced internal developer platforms in the world, powering products used by hundreds of millions of people. The problems you will solve are deep, complex, and essential to keeping a global-scale organization moving. The Role We are hiring an SRE Support Engineer who is exceptionally strong in: Linux fundamentals Linux networking Containerization (Docker) Kubernetes (internal/private cloud, multi-form experience preferred) This is a hands-on, engineering-level support role focused on helping internal developers adopt, debug, and succeed with the client’s internal compute platform. You’ll work at the intersection of Kubernetes, containers, and low-level Linux troubleshooting, engaging directly with engineers to resolve issues that often require deep system understanding. This is not generic L1/L2 support, it’s high-trust technical engineering work with some of the most innovative developers in the industry. Key Responsibilities Platform & Customer Support Support internal customers using the compute platform through: - High-touch white-glove onboarding - Slack/community forum and ticketing system responses - Deep technical troubleshooting Act as the first line of engineering support for Kubernetes- and container-related issues. Technical Investigation & Resolution Troubleshoot, isolate, and resolve issues across: - Kubernetes workloads, scheduling, services, networking, RBAC - Docker containers, images, builds, and runtime environments - Linux servers, systemd behavior, filesystem issues, resource constraints - Networking (TCP/IP, DNS, routing, firewalls) Linux & Networking Deep-Dive - Investigate issues inside Linux systems using tools such as: - tcpdump, ss, strace, traceroute, dig, journalctl, top, htop - Documentation & Communication - Write clear, concise technical tickets, incident summaries, and runbooks. - Create knowledge base articles and contribute to ongoing documentation improvements. - Participate in postmortems and drive follow-up actions. - - Cross-Team Collaboration - Work with SRE, Platform, and Engineering teams to escalate issues, identify platform bugs, and propose improvements. - Provide high-quality, structured feedback based on trends in support interactions. - Operational Excellence - Uphold a strong emphasis on detail, organization, independence, and quality. - Contribute to building tools, scripts, and processes that improve support efficiency. Required Skills & Experience Core Technical - Strong Linux fundamentals (processes, services, filesystem, kernel basics). - Strong Linux networking (TCP/IP, routing, DNS, load balancers, firewalls). - Hands-on Kubernetes experience — ideally beyond managed cloud platforms. - Strong Docker/containerization expertise. - Experience in production support for large-scale systems. Software & Scripting - Ability to write and understand Python scripts (or similar languages). - Comfortable reviewing PRs, reading developer code, and communicating with dev teams. - Strong Git proficiency. Communication & Work Style - Exceptional written and spoken English (must be extremely clear). - Highly organized, meticulous attention to detail, and consistent follow-through. - Strong problem-solving, analytical thinking, and structured debugging ability. - Comfortable working independently with distributed teams. Preferred - Bachelor’s degree in Computer Science or similar engineering discipline. - Experience supporting private cloud or internal platform engineering teams. - Familiarity with Spark, Kafka, or distributed systems. Why This Role Is Exciting - You will support systems used by every developer at a global company. - You will learn more here in 6 months than in years at a typical engineering org. - You’ll solve deeply technical problems at the intersection of containers, networking, and distributed systems. Why Join Virtasant - Freedom to Grow. Power to Deliver. - At Virtasant, we believe talented people do their best work in environments built on trust, autonomy, and continuous learning. You’ll join a truly global team - 130+ countries strong - where you can: - Work from anywhere with full autonomy and respect for your time. - Learn in every direction by working on cutting-edge systems across clients and sectors. - Collaborate globally with kind, curious, and professional teammates. - Make real impact by solving technical challenges that matter. - We’re remote-first. Trust-based. Proudly diverse. And relentlessly focused on delivering meaningful work.