Senior Solutions Engineer - Developer Productivity & AI

Drive technical sales engagements with developers, engineering leaders, and technical decision-makers, using demos and proofs of concept (PoCs) to influence solution design, demonstrate value, and enable production deployments. Guide customers in modernizing their software development lifecycle (SDLC) and adopting Agentic SDLC practices, integrating AI-assisted coding and AI agents into planning, development, testing, code review, deployment, and operations. Build trusted relationships with developers, platform leads, and AI decision-makers to co-design secure, scalable architectures for AI-powered applications and agentic development workflows, incorporating human oversight and enterprise governance. Resolve technical blockers and objections, collaborating with product and engineering teams to communicate customer feedback, inform product improvements, and accelerate adoption. Maintain deep technical expertise in GitHub, Visual Studio, Visual Studio Code, AI-assisted development tools, Azure AI Foundry and its SDKs, CI/CD, DevOps, and cloud-native development, including APIs, containers, and microservices. Help customers define and evaluate success criteria for technical engagements, connecting improvements in developer productivity, software quality, security, and delivery speed to business outcomes. Master's degree in Computer Science, Information Technology, or a related field AND 8+ years of technical pre-sales or technical consulting experience; OR bachelor's degree in Computer Science, Information Technology OR equivalent experience. Familiarity with DevOps and DevSecOps practices, including version control, continuous integration and continuous delivery (CI/CD), automated testing, and security integration across the software development lifecycle (SDLC). Familiarity with AI-assisted coding tools, such as GitHub Copilot, Codex, or Claude Code, and their application to developer productivity and software engineering workflows. Understanding of Agentic SDLC concepts, including how developers and AI agents can collaborate across planning, coding, testing, code review, and deployment, with appropriate human oversight and governance. 6+ years of experience with cloud, hybrid, or on-premises infrastructure, architecture design, migrations, industry standards, and/or technology management. Relevant certifications in cloud architecture, application development, DevOps, information security, or related disciplines. GitHub Administration or GitHub Actions certifications are highly preferred. Experience with cloud-native application development, including APIs, containers, microservices, and event-driven architectures. Experience engaging enterprise development teams, including developers, architects, engineering leaders, and technical decision-makers. Proficiency in one or more modern programming languages, such as JavaScript/TypeScript, Python, C#, or Java, and experience with frameworks such as .NET, Node.js, or React. Hands-on experience with GitHub, Visual Studio Code, CI/CD, DevOps, and platform engineering, including observability, security, and performance optimization. Practical experience integrating AI-assisted coding tools and AI agents into software development lifecycle (SDLC) workflows, with an understanding of Agentic SDLC practices, human oversight, and enterprise governance. Experience building or integrating AI-powered applications and agentic solutions using Azure AI Foundry or comparable platforms. Proven ability to lead hands-on technical engagements, including architecture workshops, hackathons, proofs of concept (PoCs), and minimum viable products (MVPs), and help customers progress from experimentation to production-scale adoption.