Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Building and optimizing AI-powered security features for Copilot, focusing on secure orchestration frameworks, agentic AI defenses, and privacy-first systems at scale. Focus on designing, implementing, and monitoring defenses against prompt injection and adversarial manipulation in a global context.

Location: Redmond, United States. Employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) of that location.

Salary: USD $119,800 – $234,700 per year across the U.S.; USD $158,400 – $258,000 per year for San Francisco Bay area and New York City.

Company

hirify.global is at the core of delivering trusted, human-centered AI experiences, making security and resilience intrinsic to every Copilot interaction across devices, platforms, and ecosystems.

What you will do

• Develop and ship agentic AI-powered security features protecting users from threats like prompt injection and adversarial manipulation.
• Implement secure orchestration frameworks enabling Copilot to safely delegate and execute actions across platforms.
• Invent and apply intelligent agents leveraging information flow analysis and common sense guardrails for security and privacy.
• Collaborate with product, engineering, security, privacy, and AI teams to adopt agentic security patterns.
• Monitor key metrics for agentic AI security and innovation, using data-driven insights for improvement.
• Document secure agentic AI patterns, addressing novel risks and supporting safe delegation and orchestration.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, OR equivalent experience.

Nice to have

• 3+ years in technical engineering roles building large-scale services.
• Hands-on experience designing and operating security-critical or AI-powered systems at scale (agentic AI, secure orchestration, advanced threat defenses).
• Proven ability to design, build, and ship agentic AI features or frameworks.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms.
• Familiarity with agentic design patterns including tool calling, multi-agent coordination, and secure delegation.
• Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management.
• Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems.
• Experience integrating with Azure AI services, Azure OpenAI Service, or Microsoft security platforms (Azure AD, Defender, Purview).

Culture & Benefits

• Microsoft's mission is to empower every person and organization to achieve more.
• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion.
• Eligibility for benefits and other compensation (details available via provided link).