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Are you insatiably curious, deeply passionate about the realm of AI & Copilot, and ready to tackle complex challenges in a dynamic environment? If so, we invite you to join our team as a AI Business Solutions Engineer in Were looking for an AI Solution Engineer to join our team and lead enterprise customers on their journey into the world of Copilot 365/ Studio and Agentic AI.

In this role, you will:

Drive adoption of Copilot and Agentic AI across enterprises.
Lead hands-on engagements such as POCs, hackathons, and architecture workshops.
Help customers design and build tailored AI agents that address real business needs.
Work with AI Foundry, Azure AI, and Responsible AI to deliver secure, scalable, and innovative solutions.
This is your opportunity to be part of a pioneering team, deepen your expertise in AI, and empower customers to become truly AI-native.
Responsibilities
Drive technical sales with business and IT decision makers through demos and PoCs, influencing solution design and enabling production deployments.
Lead hands-on engagementshackathons, code-with sessions, and architecture workshopsto accelerate adoption of Microsoft Copilot tools and cloud platforms.
Build trusted relationships with developers and platform leaders, co-designing secure, scalable architectures and solutions.
Resolve technical blockers and objections, collaborating closely with engineering teams to share insights and continuously improve products.
Maintain deep expertise in AI Foundry & Application Architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and in cloud-native app development (APIs, containerization, microservices, event-driven architectures, Python, Java, or.NET).
Expand expertise in AI Management & Security (GenAI Ops, Sentinel, orchestrator, monitoring).
Represent Microsoft as a thought leader in developer communities and customer forums.

At the Microsoft Cloud Security team, we take immense pride in developing a diverse set of security products and services that are leaders in their respective market segments. Our innovative solutions have set new industry standards, earning global recognition safeguarding critical infrastructure at the highest scale.

Microsoft Defender for Cloud is a cloud-native application protection platform (CNAPP) designed to protect cloud-based applications running in all major cloud providers, including cloud security posture management (CSPM) that finds weak spots across cloud configuration, helps strengthen the overall security posture and identify risk, and cloud workload protection (CWP) which identifies real-time attacks and helps the SOC respond and mitigate.

Were a diverse group of talented professionals consisting of software engineers, security researchers, product managers and data scientists collaborating to develop products that secure our customers, including the biggest companies in the world.

You will work in a supportive and inclusive environment where you will learn and work alongside the best and brightest minds in the industry, Fourtune 500 customers and can make a significant impact, grow your skills and advance your career.
Analyze customer and market signals to identify customers unmet or unknown needs and market opportunities for enhancements or development of multiple feature areas.
Collaborate with others to identify the potential customer segments and investment opportunities. Evaluate tradeoffs, and prioritizes investments in consultation with cross-functional partner.
Drive product areas end-to-end within Microsoft Defender for Cloud, including building vision and strategy, define roadmap, help define business model and marketing messages and drive execution for successful results.
Work closely and build trust with customers to help direct product roadmap and improve customer experience.
Define features and own their backlog, works with Software Engineering (SWE) and design teams to align on tradeoffs, and partners with Product Marketing on the disclosure of the roadmap and outbound communication.
Drive business impact across the organization and track success criteria and performance metrics. Be data driven with ongoing analysis of usage data.
Communicate clearly about projects, risks, and accomplishments on behalf of the team.
Guide and mentor other team members.

Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights