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.