• Own end-to-end operations for enterprise AI and automation platforms (e.g., ChatGPT Enterprise, Microsoft Copilot, Azure AI/Azure AI Foundry, Claude, Alteryx, Perplexity, Windsurf, and emerging tools). • Ensure platforms are stable, scalable, secure, and fully compliant with firm policies, governance standards, and regulatory requirements. • Manage platform license strategy and utilization, including forecasting, optimization, renewals, and vendor engagement. • Lead platform feature enablement with governance, security, architecture, and risk partners; evaluate new capabilities and enable them safely. • Establish and continuously improve operating processes, including: Access management, Onboarding/offboarding, Incident and issue management, Change/release management, Usage monitoring and reporting, Cost transparency. • Build and oversee a tiered support model (Tier 1 via centralized IT; Tier 2 via the Applied AI Platform team) with clear SLAs, escalation paths, ownership boundaries, metrics, and continuous improvement practices. • Lead global platform operations, defining operating models, workflows, handoffs, and escalation standards across onshore and offshore teams. • Ensure the Bangalore team is structured and staffed to deliver Tier 2 support and broader platform management responsibilities. • Identify and prioritize high-impact enablement opportunities that maximize platform ROI. • Partner with AI engineers, developers, and practitioners to reduce friction, improve the developer/practitioner experience, and accelerate experimentation and adoption. • Identify opportunities to standardize, consolidate, or retire platforms to reduce complexity, risk, and cost. • Stay current on AI platform capabilities and industry trends, translating insights into practical, governed innovation for the firm.

Role Description Join the team as Twilio’s next Conversational AI Developer in the Enterprise AI team. This position is needed to join our Conversational AI team as an L1 Engineer! You will automate workflows using Windmill, support our AWS infrastructure, and build robust Tableau dashboards to track AI performance. Help us scale our operations while growing your skills in cloud and data analytics. - Develop and maintain automated operational workflows and internal tooling using the Windmill platform to streamline team processes. - Generate interactive and visually compelling Tableau dashboards to track conversational AI agent performance, user engagement, and system health. - Monitor core AWS infrastructure to ensure continuous uptime and reliability for our AI deployments. - Perform initial L1 troubleshooting and diagnostics for infrastructure alerts, workflow failures, or data pipeline issues. - Identify data trends and system anomalies within Tableau to proactively address potential agent errors before they impact users. - Troubleshoot routine technical issues and efficiently escalate complex cloud or architectural problems to senior engineers. - Collaborate with the AI engineering team to guarantee accurate data flow between our conversational agents, the AWS environment, and reporting tools. - Maintain clear and accurate technical documentation regarding workflow automation steps, dashboard metrics, and basic AWS support procedures. Qualifications - Data Visualization (Tableau): Proven ability to connect data sources and design, build, and maintain interactive dashboards in Tableau. (Having a portfolio or examples of past dashboards is a strong plus). - Cloud Infrastructure (AWS): Practical experience navigating and monitoring fundamental AWS services (such as EC2, S3, IAM, and CloudWatch). AWS Certified Cloud Practitioner or Associate-level certifications are highly preferred. - Workflow Automation: Experience configuring automated workflows. While direct experience with Windmill is ideal, demonstrated experience with similar tools (like n8n, Zapier, Retool, or Apache Airflow) along with an eagerness to learn Windmill is completely acceptable. - Scripting Skills: Competency in at least one scripting language (such as Python, JavaScript/TypeScript, or Bash) to write automation scripts, interact with APIs, and manipulate basic data sets. - Database Querying: Working knowledge of SQL to extract, filter, and structure data for reporting purposes. Requirements - Analytical Troubleshooting: Strong problem-solving mindset with a track record of effectively diagnosing IT or infrastructure issues and determining when to escalate them. - Communication: Excellent written and verbal communication skills, necessary for documenting processes, writing standard operating procedures (SOPs), and interacting with core engineering teams. - Adaptability: A proactive attitude and a strong willingness to learn new technologies, particularly within the fast-paced Conversational AI space. Benefits - Competitive pay - Generous time off - Ample parental and wellness leave - Healthcare - Retirement savings program - And much more (offerings vary by location) Company Description At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day.

Role Description We’re looking for an AI Engineer to bring production-grade AI into Qatium’s water management platform. You’ll design, build, and deploy LLM-powered features and AI agents that help utilities make smarter, faster decisions — from anomaly detection to conversational interfaces over network data. You’ll also define the standards, frameworks, and tooling that allow the whole team to move faster. What You’ll Do - Build and ship AI agents end-to-end (idea → production) - Own deployment, monitoring, and continuous improvement - Create reusable frameworks to accelerate AI development - Define evaluation standards (latency, cost, quality) - Enable other teams to build AI features independently Qualifications - Experience shipping LLM/AI systems to production (not just demos or notebooks) - Strong Python (APIs, async, and production systems) - Experience with LLM orchestration frameworks (LangChain, LangGraph, or similar) - Solid AWS expertise (Bedrock, EKS/ECS, Lambda, S3) with experience running AI workloads - Kubernetes fluency (deployments, debugging, CI/CD (Spinnaker, Travis, or similar)) - Experience designing multi-agent systems - End-to-end work mindset: from shaping the problem to production Requirements - Familiarity with LLM observability / safety tooling (Langfuse, Guardrails, or equivalent) - Background in data-intensive systems or IoT domains (recs, pipelines, search) relevant to network monitoring How You Work - You think in systems, not demos — from prompts and agents to infrastructure and reliability - You care about latency, cost, and correctness from day one - You balance speed vs robustness, knowing when to prototype and when to harden - You take end-to-end ownership — from notebook to production system serving real users - You’re hands-on with cloud and infrastructure (AWS, Kubernetes, CI/CD) and understand real-world trade-offs - You build things others can use and extend, not just things you understand - You’re curious about the domain — you invest in understanding water networks to build AI that’s actually useful - You work with collaborative velocity — aligning fast, unblocking others, and documenting so the team moves forward Benefits - Work on something that matters — Help solve a global challenge where your work has real-world impact — improving how water is managed at scale - Remote-first by design — Work from anywhere with the autonomy and flexibility to do your best work - Strong team — Collaborate with talented people who care about quality, move fast, and support each other - Growth — Learning budget, language platforms, and resources to keep improving your craft - Flexible compensation plan — Adapt part of your compensation to what matters most to you - Time to recharge — Enjoy your holidays from wherever you call home - Inclusive by default — We believe diverse perspectives lead to better decisions, better products, and a stronger team

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 customersto 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 AI & ML Engineer! As a key member of our AI team, you will design, develop, and deploy scalable AI solutions, leveraging cutting-edge technologies to enhance digital employee experiences for millions worldwide. Responsibilities - Lead AI Development - Design and implement AI-powered products, with a strong focus on Agentic systems. - LLMs done right - Create evaluations and define metrics of success using cutting edge AI platforms. - MLOps - Implement and manage MLOps practices to streamline the deployment, monitoring, and maintenance of models and in production environments. - Collaboration & Leadership - Work closely with software engineers, data scientists, and product teams to align AI capabilities with business needs. - Mentorship & Coaching - Guide and support junior AI engineers, fostering a culture of learning and knowledge sharing. Qualifications - Bsc/Master's degree in Computer Science, Machine Learning, Data Science, or a related field. - Hands-on experience in LLM-powered production applications. - Strong proficiency in Python and AI frameworks (e.g., LangChain, PyTorch). - Proven experience with AWS and cloud-based AI deployments. - Solid understanding of AI model fine-tuning, optimization, and evaluation. - Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment. - Eagerness to learn and adapt - Strong communication skills in English, capable of explaining complex AI concepts to technical and non-technical stakeholders - we believe in learning by sharing - Knowledge of reinforcement learning, retrieval-augmented generation (RAG), and multi-agent AI architectures. - Strong data intuition: ability to inspect raw logs, design metrics and quickly identify quality regressions - Hands-on experience with MLOps: reproducible pipelines, automated evaluations, feature stores, CI/CD for models or prompt/embedding configs - Familiarity with MLOps best practices for deploying and monitoring AI models in production. 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 with a view of Lake Geneva, 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.