Staff Software Engineer (AI-Native / Agentic Systems)

About the Engagement

This role is part of a pilot delivery model focused on high-impact, fast-paced engineering using senior individual contributors. The objective is to test a new approach where experienced engineers leverage AI tools and modern architectures to deliver faster and higher-quality outcomes.

The Opportunity

We are looking for highly experienced Staff Software Engineers (10–15+ years) who can own end-to-end delivery, from problem definition through architecture, build, and deployment.

This role requires a blend of strong technical depth and consulting capability, working closely with stakeholders to translate ambiguous problems into working solutions.

What You’ll Do

End-to-End Delivery

• Own the full lifecycle: scoping, architecture, development, deployment, and iteration
• Build production-grade applications across frontend, backend, and data layers
• Deliver solutions quickly using AI-assisted development workflows

Architecture & System Design

• Design scalable, modern architectures across APIs, cloud, and data platforms
• Translate business problems into technical solutions
• Make independent architectural decisions in ambiguous environments

AI & Agentic Systems

• Build and deploy agentic systems (beyond chatbots)
• Design multi-agent workflows, tool usage, and orchestration patterns
• Implement guardrails, evaluation frameworks, and monitoring for AI systems

Engineering Excellence

• Develop reusable components, frameworks, and accelerators
• Contribute to improving development standards and practices
• Rapidly prototype and deliver working solutions for stakeholders

What You Need

Must-Have

• 10–15+ years of software engineering experience
• Strong full-stack skills (React, Node.js or .NET, APIs, databases)
• Experience with cloud platforms (Azure or equivalent)
• Hands-on experience using AI development tools (e.g., Copilot, Claude, Cursor)
• Strong problem-solving skills and ability to work independently
• Experience building complex systems, integrations, or scalable applications

Nice to Have

• Experience with agentic systems or AI-based architectures
• Integration platform experience (e.g., MuleSoft or similar)
• Exposure to data platforms (e.g., Databricks, Spark)
• Consulting or client-facing experience
• Experience building reusable tools or frameworks

Accessibility & Accommodation

We are committed to building an inclusive and accessible workplace.