• Monitor and maintain the organization’s infrastructure, including servers, networks, storage systems, and applications. • Perform routine system checks and preventive maintenance to ensure optimal performance and uptime. • Respond to system alerts and incidents, diagnosing and resolving issues promptly to minimize downtime. • Provide technical support to resolve infrastructure-related issues, working closely with other technical teams. • Troubleshoot and resolve hardware, software, and network issues, escalating to higher-level support when necessary. • Maintain detailed documentation of issues, solutions, and processes to improve the team’s knowledge base. • Plan and execute system upgrades, patches, and configuration changes, ensuring minimal disruption to business operations. • Test and validate updates in development environments before deploying them to production. • Ensure that all systems comply with security standards and best practices. • Identify opportunities to automate routine tasks and processes, improving operational efficiency and reducing manual workload. • Implement scripts, automation tools, and AI skills to streamline system management and monitoring. • Continuously evaluate and optimize infrastructure performance, capacity, and resource utilization. • Support the development and execution of disaster recovery plans to ensure business continuity in case of system failures. • Manage backup and restore processes for critical systems and data, ensuring data integrity and availability. • Participate in regular disaster recovery testing and drills. • Plan and execute decommissioning of legacy infrastructure, coordinating Terraform state cleanup and DNS cutover. • Work closely with development, network, and security teams to ensure alignment and effective communication on infrastructure projects. • Provide input on infrastructure design and architecture to support new projects and initiatives. • Communicate effectively with non-technical stakeholders, providing updates on system status and issues.

Role Description Legrand has an exciting opportunity for a Lead AI Engineer to join our Growing AI Team within Legrand North and Central America. This is a remote position. This is a senior, hands-on leadership role at the intersection of enterprise AI engineering, Azure cloud architecture, and technical team management. - Lead our development team - Take primary ownership of day-to-day technical execution - Serve as the principal engineer on solution architecture - Work in close collaboration with the Director of Generative AI to ensure solutions are secure, scalable, and built to last This role is the right fit for a technically exceptional engineer who is ready to step into genuine leadership: someone who leads through craft and judgment, grows the people around them, and wants to take on increasing architectural ownership over time. Qualifications - Experience in enterprise AI engineering - Proficiency in Azure cloud architecture - Strong technical team management skills Requirements - Hands-on experience with AI technologies - Ability to lead and mentor a technical team - Strong problem-solving skills Benefits - Comprehensive medical, dental, and vision coverage - High employer 401K match - Paid time off (PTO) and holiday pay - Short-term and long-term disability benefit plans - Above-benchmark paid maternity and parental leave - Bonus opportunities in accordance with the Company’s incentive plans - Paid time off to volunteer - Active/growing Employee Resource Group network

• As an AI Engineer (m/f/d) you don’t just write notebooks and prompts — you build production-grade GenAI systems: agents, RAG pipelines, and LLM-driven workflows. • You work in cross-functional, agile teams on client projects and engage with the entire modern GenAI stack. • Together with your team you advise clients on use-case identification, architectural decisions, effort estimation, and the selection of appropriate delivery models. • You analyze client requirements, design and implement agent-based solutions and RAG pipelines over enterprise data, and ensure clear, high-quality documentation. • You leverage modern, automated approaches and AI-native developer workflows to optimize code and deliver innovative solutions.

Role Description Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. - Design, develop, and deploy production agentic AI systems using OpenAI Agents SDK, Claude Agents SDK, or similar frameworks to power conversational healthcare experiences. - Build and maintain multi-agent orchestration systems that route user requests across specialized Line-of-Business AI agents using Agent-to-Agent (A2A) protocols. - Develop FastAPI backends and Node.js/TypeScript services that integrate LLMs (AWS Bedrock, Vertex AI) with healthcare systems through GraphQL APIs and AWS AppSync. - Implement healthcare-specific guardrails including PII detection/scrubbing, prompt safety, and compliance controls for patient-facing applications. - Deploy containerized AI/ML workloads to AWS (App Runner, ECS, Lambda) with infrastructure-as-code using Terraform and CI/CD pipelines (GitHub Actions). - Collaborate with product and clinical stakeholders to design, evaluate, and optimize agentic AI workflows using quantitative metrics and user feedback. - Monitor LLM application performance, token usage, latency, and user satisfaction in production environments serving millions of health plan members. - Stay current with emerging patterns in generative AI, agent frameworks, and responsible AI practices for healthcare applications. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Qualifications - Bachelor’s degree in Computer Science, Data Science, or related field. - 4+ years of hands-on experience with Python or TypeScript or other relevant backend languages such as Java, Node.js. - Experience building RESTful or GraphQL APIs in production environments. - Understanding of LLM fundamentals (prompting, context management, or model integration). - Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status). Requirements - Production experience with agentic AI frameworks (OpenAI Agents SDK, Claude Agents SDK, LangGraph, or similar). - Hands-on experience with AWS Bedrock, Vertex AI, or Azure OpenAI services. - Experience measuring and improving LLM applications using evaluation frameworks, prompt iteration, or user feedback loops. - Infrastructure-as-code experience with Terraform or CloudFormation. - Experience with AWS services (Lambda, ECS, App Runner, AppSync, DynamoDB). - Healthcare applications, HIPAA compliance, or experience in regulated industries. - Multi-agent systems, agent orchestration, or workflow engines. - FastAPI, Express, or similar backend framework experience. Benefits - Comprehensive benefits package. - Incentive and recognition programs. - Equity stock purchase. - 401k contribution (all benefits are subject to eligibility requirements). Application Deadline This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.