Staff Software Engineer – AI Center of Excellence

Responsibilities

• Serve as the technical leader for the AI Center of Excellence, establishing engineering patterns, frameworks, and best practices that enable AI-assisted software development across the organization
• Design and implement scalable multi-agent AI harnesses and developer workflows that accelerate software delivery while maintaining security, reliability, and governance
• Partner with engineering teams to modernize existing applications and guide the adoption of AI-driven development practices across multiple product domains
• Architect cloud-native solutions leveraging Azure, AWS, infrastructure-as-code, and modern DevOps practices to support enterprise-scale software delivery
• Evaluate emerging AI tooling, local and hosted LLMs, inference frameworks, SDKs, and orchestration technologies, recommending solutions that align with business objectives
• Establish reusable engineering standards, reference implementations, and technical frameworks that enable teams to build AI-powered applications consistently
• Mentor engineers across the organization, acting as a trusted technical advisor while helping teams adopt modern software engineering and AI development practices
• Collaborate closely with product, infrastructure, security, and architecture teams to ensure AI solutions meet enterprise standards for scalability, compliance, and operational excellence
• Drive proof-of-concepts through production deployment, demonstrating measurable improvements in developer productivity and software delivery
• Build and lead a small team of engineers as the AI Center of Excellence grows

Requirements

• Demonstrated expertise in designing and delivering complex software systems in modern cloud environments
• Deep experience building production software using Python and at least one compiled language such as Go or .NET
• Strong knowledge of Azure and/or AWS cloud platforms, cloud-native architecture, and distributed systems
• Experience with Infrastructure as Code using Terraform or equivalent technologies
• Proven experience integrating AI capabilities into software development workflows, including experience with LLM APIs, SDKs, agent frameworks, orchestration platforms, or local inference solutions
• Strong understanding of secure software engineering, CI/CD pipelines, DevOps practices, and modern software delivery methodologies
• Experience developing architectural standards, reusable frameworks, and engineering patterns used by multiple development teams
• Ability to influence technical direction across teams through collaboration, mentorship, and technical leadership rather than organizational authority
• Comfortable working in Agile environments with a bias toward pragmatic, iterative delivery and continuous improvement
• Excellent communication skills with the ability to translate complex technical concepts for both engineering and executive audiences

Core Competencies

Demonstrates expertise in designing and delivering complex software systems in cloud environments, with a strong focus on AI integration, cloud-native architecture, and modern DevOps practices. Proven ability to mentor teams, establish engineering standards, and drive the adoption of AI-driven development methodologies.