Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Develops security features and solutions that harness agentic AI to protect customers and enable new capabilities in Copilot with an accent on designing and building AI-powered defenses and secure orchestration frameworks. Focus on balancing innovation with trust by applying technical skills to solve security challenges.

Location: Must work from a designated hirify.global office at least four days a week if living within 50 miles (U.S.) or 25 miles (non-U.S.) of that location.

Salary: USD $119,800 – $234,700 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.
• Implement secure orchestration frameworks that enable Copilot to safely delegate and coordinate actions across devices and platforms.
• 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 adopt 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 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 3+ years in technical engineering roles building large-scale services.
• 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

• Agentic AI Development & Orchestration: 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 patterns.
• 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; understanding of AI safety evaluation methodologies including adversarial testing and red-teaming.
• Experience integrating with Azure AI services, Azure OpenAI Service, or hirify.global security platforms (Azure AD, Defender, Purview).
• Track record of mentoring less experienced engineers, driving adoption of standards and best practices across teams, and influencing technical roadmaps while balancing innovation velocity with fundamentals.

Culture & Benefits

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