Senior Lead Software Engineer

Senior Lead Software Engineer

Lead the Agentic Development Platform: Own the technical implementation end-to-end — designing and building AI agents and developer productivity capabilities that integrate directly into engineering workflows across the SDLC. Set engineering patterns and standards: Establish the architecture, technical standards, and best practices that other engineers follow when building AI-native developer tooling. Drive architecture and roadmap decisions: Represent the AI Enablement team's engineering perspective in cross-team architecture discussions, influencing technical direction beyond your immediate scope. Identify and eliminate workflow inefficiencies: Collaborate with engineering teams across the organization to surface development pain points and implement scalable, AI-assisted solutions. Mentor engineers on AI adoption: Guide engineers through hands-on technical mentorship, accelerating AI adoption and elevating the team's overall capability in building with LLMs and AI tooling. Own complex problem resolution: Investigate and troubleshoot difficult technical issues across internal tooling and platform services, driving them to resolution. Contribute to sprint planning and grooming: Help prioritize and refine technical initiatives, define implementation details, and keep delivery moving with clarity and focus

What You Bring to Our Team

Education & Experience

• 6+ years of software development experience, including leading technical initiatives or providing technical direction to other engineers
• Hands-on experience designing and building AI agents, LLM-based solutions, AI-assisted development tools, or AI integrations — including defining architecture and patterns for others to follow
• Track record of mentoring engineers and influencing engineering practices beyond an immediate team
• Experience with highly scalable systems in an AWS ecosystem

Technical Skills

• Proficiency in Java, Kotlin, .NET, TypeScript, or similar technologies
• Experience developing APIs and backend services
• Demonstrated ability to architect and implement production-ready AI/LLM-based solutions
• Familiarity with AI-assisted development tooling and modern engineering workflow optimization

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