Senior Software Engineer Lead

Primary Responsibilities:

• Design, build, deploy, and support secure cloud-based applications and services that meet business and customer requirements
• Develop and maintain both front-end and back-end components of modern web applications using React, TypeScript, Python, SQL, and related technologies
• Build scalable APIs, integrations, and data-driven applications using modern engineering practices
• Leverage AI-assisted development tools to improve engineering productivity, code quality, testing, documentation, and delivery velocity
• Support the integration of AI capabilities, including LLMs, Generative AI services, AI agents, and intelligent automation features, into existing and new business applications
• Contribute to the development, integration, testing, deployment, and support of AI-enabled solutions, including Retrieval-Augmented Generation (RAG), intelligent search, conversational experiences, and workflow automation capabilities
• Assist with the implementation and operationalization of agentic AI solutions, including prompt engineering, tool integration, vector search, and orchestration frameworks under the guidance of senior technical leaders
• Collaborate with product owners, business stakeholders, architects, and engineering teams to deliver scalable end-to-end solutions supporting reporting, analytics, dashboarding, and business process automation initiatives
• Participate in all phases of the software development lifecycle, including requirements analysis, solution design, development, testing, deployment, and production support
• Apply Agile and Lean development practices to deliver features and enhancements within established timelines and quality standards
• Participate in code reviews, technical design discussions, and continuous improvement activities to promote engineering excellence and software quality
• Build and support cloud-native solutions utilizing Azure services, including Azure OpenAI, Azure AI Search, Azure Functions, Service Bus, and related platform capabilities
• Support CI/CD automation, Infrastructure as Code initiatives, containerized deployments, and DevOps practices utilizing GitHub, Docker, Kubernetes, and Terraform
• Troubleshoot application, integration, and performance issues, identify root causes, and implement sustainable solutions
• Monitor and support production applications while meeting operational, reliability, and service-level objectives
• Collaborate effectively with cross-functional and global teams to deliver business value and technical solutions
• Continuously learn and apply emerging AI, cloud, and software engineering technologies to improve team effectiveness and accelerate solution delivery
  
• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Graduate degree or equivalent experience
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• 7+ years of experience with Agile/Lean software development practices
• 4+ years of experience with cloud environments and architecture, preferably Azure
• Experience automating CI/CD pipelines and working with source control systems such as Git and GitHub
• Hands-on experience with JavaScript, TypeScript, React, SQL databases, and modern web application development
• Hands-on experience designing, developing, and deploying applications that integrate Large Language Models (LLMs), Generative AI services, AI agents, or intelligent automation capabilities
• Solid experience developing applications and services using Python and modern API development practices
• Experience building and supporting scalable, secure enterprise-grade applications using modern architecture patterns, microservices, and service-oriented architectures
• Experience working with Docker, Kubernetes, and cloud-native application deployment practices
• Experience building infrastructure using Infrastructure as Code, preferably Terraform
• Experience consuming and integrating AI platform capabilities such as Azure OpenAI, Azure AI Search, Azure Functions, and related Azure services
• Experience participating in code reviews, technical design discussions, and engineering best practices
• Familiarity with AI application patterns such as Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, semantic search, conversational AI, or knowledge-grounded AI solutions
• Familiarity with agent orchestration frameworks such as Semantic Kernel, LangChain, AutoGen, or similar technologies
• Familiarity with Modular Agent Design: Leverage standards like Model Context Protocol (MCP) to define reusable, secure, and composable tool interfaces
• Demonstrated use of AI-assisted development tools to improve engineering productivity, software quality, testing, documentation, and development velocity
• Demonstrated ability to contribute to the development, deployment, and support of agentic AI solutions under the guidance of senior technical leaders
• Demonstrated solid verbal and written communication skills with the ability to collaborate effectively across cross-functional and global teams

Preferred Qualifications:

• Azure Developer, Azure AI Engineer, or related certifications
• Experience building AI-powered copilots, dashboarding solutions, analytics platforms, reporting systems, intelligent search solutions, or workflow automation tools
• Experience integrating AI capabilities into existing enterprise applications and business processes
• Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangChain, LlamaIndex, or similar AI frameworks
• Experience implementing Responsible AI, AI governance, and security practices
• Experience in healthcare, analytics, reporting, or other highly regulated industries
• Familiarity with multi-agent architectures, function calling, and tool orchestration patterns