Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Contributing to the development of security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot with an accent on secure identity flows and defenses against emerging threats. Focus on designing, building, and shipping AI-powered defenses, secure orchestration frameworks, and enabling technologies.

Location: Must live within a 50- mile commute of a designated hirify.global office in the U.S. or 25-mile commute of a non-U.S., country-specific location and are expected to work from the office at least four days per week

Salary: USD $163,000 – $331,200 per year

Company

hirify.global’s mission is to empower every person and every organization on the planet to achieve more.

What you will do

• Develop and ship agentic AI-powered security features that protect users from threats.
• Design and implement secure orchestration frameworks that enable Copilot to safely delegate, coordinate, and execute actions.
• Invent and apply new intelligent agents that leverage information flow analysis and apply common sense and judgement guardrails for security and privacy.
• Collaborate with product, engineering, security, privacy, and AI teams to drive adoption of agentic security patterns and best practices across Copilot and MAI.
• Monitor key metrics for agentic AI security and innovation, using data-driven insights to improve defenses and enablement.
• Document secure agentic AI patterns, ensuring they address novel risks, support safe delegation, and enable responsible orchestration of actions.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including C, C++, C#, Java, Go, or Python OR equivalent experience.
• 8+ years in technical engineering roles building large-scale services.
• 8+ years hands-on experience designing and operating security-critical or AI-powered systems at scale, including agentic AI, secure orchestration, or advanced threat defenses.
• Proven ability to design, build, and ship agentic AI features or frameworks.
• Ability to clearly explain complex systems and security concepts to technical and non-technical stakeholders and influence cross-org roadmaps.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 10+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Experience building production agent systems using frameworks such as LangGraph, Amazon Strands SDK, or similar platforms.
• Hands-on experience with distributed training frameworks (Ray, Slurm, HPC), containerization and orchestration technologies (Docker, Kubernetes) for ML model deployment, and ML lifecycle management in production environments.
• Experience designing evaluation frameworks for LLM-based applications and implementing observability for agent systems using tools such as Phoenix, MLFlow, LangFuse, or custom eval harnesses.
• Experience integrating with Azure AI services, Azure OpenAI Service, or hirify.global security platforms (Azure AD, Defender, Purview).

Culture & Benefits

• Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
• The company builds on values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.