Senior Software Engineer

Engineering & Architecture Lead architecture and technical design discussions for large-scale distributed systems and AI-powered business solutions. Define technical direction and establish engineering patterns, standards, and best practices across services and platforms. Drive end-to-end delivery from design through implementation, deployment, monitoring, and long-term operations. Design and build AI-powered applications, copilots, agents, and intelligent workflows that transform business processes and customer experiences. Apply large language models (LLMs), retrieval-augmented generation (RAG), semantic search, agent orchestration, and evaluation frameworks to solve real-world business challenges. Ensure strong governance, security, lineage, observability, and data quality across analytical and AI workloads. Enable self-service analytics and next-generation reporting experiences through semantic models and intelligent insights. Develop clean, maintainable, secure, and well-tested code using technologies such as C#, Python, SQL, JavaScript/TypeScript, and modern cloud services. Participate in live-site operations, incident response, and continuous service improvements. Provide technical leadership across multiple projects and influence engineering decisions beyond immediate team boundaries. Partner closely with product managers, architects, business stakeholders, and customer-facing teams to identify opportunities for innovation and impact. Mentor junior engineers and contribute to the growth of an inclusive, high-performing engineering culture. Champion AI adoption and help shape CEAI's AI-native engineering transformation. Bachelor's Degree in Computer Science, Engineering, or related technical field AND 8+ years of professional software engineering experience, OR equivalent practical experience. 5+ years of experience designing and building scalable cloud-native applications and services. Strong proficiency in one or more modern programming languages including C#, Python, or TypeScript. Proven experience driving technical design, implementation, deployment, and live-site operations for production systems. Experience working with distributed systems, APIs, microservices, and large-scale data platforms. Strong problem-solving, communication, and collaboration skills. Demonstrated growth mindset and passion for continuous learning. Experience building AI-native solutions including copilots, agents, retrieval systems, LLM applications, and autonomous workflows. Experience with Azure AI Foundry, OpenAI services, Semantic Kernel, LangChain, MCP, or comparable AI orchestration frameworks. Experience implementing agentic workflows, AI-assisted SDLC practices, and AI-enabled engineering productivity solutions. Familiarity with Responsible AI, model evaluation, AI governance, security, and compliance frameworks. Experience building enterprise-grade SaaS applications serving large-scale global customers. Experience leading cross-team engineering initiatives and influencing technical direction across organizations. Passion for advancing AI-native engineering and transforming how software is designed, built, and operated.