Software Engineers II / Senior Software Engineers - Applied AI, Enterprise Platforms

microservices, distributed and event-driven patterns, real-time data processing, and resilient enterprise integration approaches. Translate ambiguous business and user requirements into scalable technical solutions with measurable impact; identify high-value automation opportunities in partnership with product, legal, support, operations, and engineering stakeholders. Implement high-quality, maintainable code; reuse and extend existing components where appropriate; and drive engineering excellence through code reviews, automated testing, CI/CD, and AI-assisted development practices. Build evaluation frameworks, observability and telemetry, monitoring, analytics, and quality measurement systems for AI, agentic, and enterprise platforms to improve reliability, safety, performance, and business impact. Serve as a Designated Responsible Individual for services as needed, monitoring system health, responding to incidents, and ensuring availability, scalability, quality of service, and

operational readiness. Break complex initiatives into manageable tasks, contribute to sprint and release planning, provide effort estimates, and own delivery from architecture and implementation through deployment, operations, and continuous improvement. Partner with security, privacy, compliance, responsible AI, and governance teams to ensure solutions meet enterprise standards and high-trust requirements. Evaluate emerging AI, cloud, platform, and automation technologies; apply relevant advancements to improve productivity, user experience, code quality, testing, delivery velocity, and future platform investments. Strengthen engineering culture through mentoring, technical leadership, architecture discussions, knowledge sharing, and adoption of modern engineering and operational practices. Bachelor’s Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Professional software engineering experience designing, building, deploying, and operating production-scale systems. Demonstrated proficiency in one or more programming languages such as C#, Java, Python, JavaScript, or TypeScript. Experience building cloud-native applications and services on Azure or another public cloud platform. Experience with distributed systems, microservices, REST APIs, event-driven architectures, software design patterns, scalability, reliability, security, and operational excellence. Experience with CI/CD, automated testing, monitoring, telemetry, DevOps practices, incident response, and live-site ownership. Hands-on experience with AI/ML technologies, large language models, copilots, agent or multi-agent frameworks, intelligent automation, prompt engineering, orchestration patterns, and AI evaluation techniques. Experience using GitHub Copilot or other AI-assisted software development practices to improve engineering productivity, code quality, testing, and delivery. Experience with enterprise business systems, document-intensive processes, telemetry, analytics, real-time data, or streaming architectures. Understanding of responsible AI, security, privacy, compliance, governance, and high-trust enterprise requirements. Ability to translate complex business requirements into scalable technical solutions and measurable outcomes. Demonstrated problem-solving, communication, collaboration, stakeholder management, and planning skills, with the ability to work effectively in a fast-paced, cross-functional environment. Experience leading technical design reviews, driving architecture decisions across teams, mentoring engineers, and influencing technical strategy is preferred. Interest or experience applying AI and automation to legal, compliance, support, workplace, operations, or other enterprise domains.

Design, develop, and operate scalable software solutions that use large language models, AI agents, orchestration frameworks, enterprise data platforms, and modern application technologies. Build intelligent agents, copilots, and automation that can reason, plan, and take action across enterprise systems, including document processing, decision flows, user interactions, employee support, knowledge management, procurement, compliance, legal operations, and other business processes. Lead or contribute to system design, technical specifications, architecture standards, engineering roadmaps, and design reviews; identify dependencies and align solutions with platform, security, privacy, accessibility, governance, and compliance requirements. Create reusable platforms, frameworks, components, and services that accelerate the development and deployment of intelligent solutions across multiple business domains. Design and implement cloud-native, API-first architectures using Azure services