Overview

In the age of generative intelligence, Securing AI is no longer a technical afterthought—it is the central mission that underpins trust, innovation, and responsible progress. As AI systems evolve from passive tools to autonomous agents, the risks they introduce— data leakage, model manipulation, agent sprawl, and regulatory non-compliance—demand a new security paradigm

Securing AI Is Mission-Critical:

• AI Is a New Attack Surface
  AI models and agents interact with vast, sensitive datasets and operate across cloud platforms. This opens up novel threat vectors such as prompt injection, system prompt leakage, model theft, and unbounded consumption.

• Security Must Be Built-In, Not Bolted-On
  Traditional perimeter defenses are insufficient. AI security must be embedded across the compute, data, identity, and networking planes—just as we did before AI, but now with added complexity and urgency

• Trustworthy AI Requires Security by Design
  Microsoft’s SFI —Secure by Design, Secure by Default, Security Operation—guide the development of AI systems that are resilient, transparent, and compliant from the ground up.

Microsoft’s approach to Securing AI is not siloed—it’s integrated across Defender, Purview, Entra, Sentinel, Azure AI Foundry, and Agent 365. This ecosystem enables:

• Real-time threat detection and response.

• Multi-cloud coverage and telemetry.

• Secure development pipelines with CI/CD scanning.

• Governance of agentic systems and model registries

To meet the rapidly evolving demands of Agentic Intelligence and the complex security challenges it introduces, it is imperative that we build a world-class security team. This team must be composed of exceptionally talented individuals with deep expertise in both AI and cybersecurity, capable of navigating the technical, ethical, and operational dimensions of secure AI deployment.

Securing AI is not just a technical requirement—it is the mission-critical task of our time. As AI systems become more autonomous and integrated into core business functions, the risks they pose grow exponentially. Only by investing in a team that understands both the power of AI and the principles of trust and protection can we ensure that innovation proceeds responsibly and securely.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

 As a Solution Engineer GBB – Security for AI, you will be at the forefront of Microsoft’s AI-driven security strategy. This role is designed for technical leaders who thrive in high-impact customer engagements and are passionate about secure AI adoption.

• Lead technical strategy, planning, and execution for AI Security solutions including Microsoft Agent 365, Defender for Cloud, Purview Data Security, and Defender for AI workloads.

• Design secure architectures, drive Po Cs, and ensure successful deployments tailored to customer needs.

• Act as a Technical Pathfinder across MDC and Purview consumptive SKUs, delivering demos, workshops, and technical validation.

• Translate customer use cases into repeatable winning patterns and champion their adoption across teams.

• Collaborate with STU/ATU, CXE, and CSU to drive revenue, deployment, and consumption.

• Influence product roadmap and GTM strategy using customer insights and UAT frameworks.

Core Priorities

• Incubate and Scale Strategic Sales Motions: Lead technical incubation and convert learnings into scalable architectures.

• Drive Complex, High-Impact Engagements: Serve as technical lead for security workloads, advising C-level stakeholders.

• Scale Through Enablement: Share best practices and support readiness across field and partner teams.

• Lead with Adaptive Expertise: Deepen technical and consultative skills to co-create solutions in ambiguous spaces.

Qualifications:

Required Skills:

• Deep technical proficiency in AI security products and architecture.

• Strong understanding of competitors like Palo Alto Networks, AWS, and GCP (Wiz).

• Consultative selling, storytelling, and solution narrative development.

• Ability to orchestrate cross-functional collaboration and coach peers.

• Familiarity with Zero Trust, cloud posture, app security, SASE, and DLP.

Skilling Expectations

• Participate in GBB Academy, Secure AI Airlift Deep Dive, and Compete Workshops.

• Complete technical certifications (L300–L400), hands-on labs, and PoC challenges.

• Engage in skilling paths covering AI foundations, security foundations, and cross-solution selling.

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.