Solution Engineer (Microsoft Innovation Hub)
Solution Engineer at Microsoft Innovation Hub in Seoul designs and delivers AI transformation solutions for enterprise customers, integrating Microsoft technologies and guiding strategic adoption.
- Compensation
- Not disclosed
- Location
- Korea, Seoul, Seoul
- Work setup
- Onsite
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Solutions engineering
- Posted
Skills
Must have
- 8+ years of technical pre-sales or technical consulting experience.
- OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years of experience.
- OR equivalent experience.
Nice to have
- AI Security: Experience securing generative AI, large language model, or agentic AI solutions through threat modeling, secure architecture, identity, data protection, cloud security, monitoring, and r
- AI Governance: Experience applying AI risk, compliance, privacy, responsible AI, model and data governance, policy, control, and regulatory-readiness frameworks to enterprise AI transformation program
- Consulting and Facilitation: Proven experience advising executive stakeholders, leading discovery and assessments, facilitating design thinking and strategy workshops, structuring ambiguous problems,
- Relevant certifications or demonstrated expertise in security, privacy, compliance, cloud architecture, AI, risk management, or enterprise architecture.
Full description
Overview
Microsoft Innovation Hub empowers customers to overcome their business challenges through innovative engagements that integrate multiple areas of expertise. We drive AI transformation by leveraging evolving needs and emerging business opportunities. As the future of technologists and enterprise technical sellers, we guide customers from envisioning solutions to implementation. We deliver the Microsoft value story through immersive experiences, strengthening customer trust through deep engagements in exceptional environments.
As an Innovation Hub Solution Engineer working on-site in the Microsoft Innovation Hub located in Seoul, you will merge business and technical requirements to craft comprehensive solutions, working seamlessly with various stakeholders. You will conduct discovery sessions to understand customer needs and provide strategic recommendations and best practices tailored to their specific needs. Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Additionally, you will leverage consultancy skills to foster collaboration among technical resources and stakeholders, ensuring alignment and effective teamwork. This role is Microsoft onsite only.
As an Innovation Hub Solution Engineer specializing in AI Security, AI Governance, and Consulting, you will help customers adopt generative and agentic AI securely, responsibly, and at scale. You will combine security architecture, governance frameworks, and executive advisory skills to assess AI readiness and risk, frame business and technical challenges, prioritize high-value use cases, and translate findings into actionable roadmaps and solution designs. You will engage CIOs, CISOs, data and AI leaders, architects, and business stakeholders through discovery sessions, assessments, strategy workshops, architecture design sessions, and rapid prototyping. Success in this role requires trusted-advisor presence, strong facilitation, and the ability to orchestrate cross-functional teams around measurable customer outcomes.
Responsibilities
- Lead customer discovery and AI readiness assessments to clarify business outcomes, capture requirements, identify threats, risks, constraints, and regulatory considerations, and prioritize AI use cases using structured problem framing and design thinking.
- Advise customers on AI security across generative and agentic AI scenarios, including threat modeling, secure AI architecture, identity and access, data protection, cloud security, workload risk assessment, monitoring, and responsible AI controls.
- Design AI governance approaches covering policy and control frameworks, model and data governance, privacy, compliance, regulatory readiness, accountability, lifecycle controls, and evidence required for effective oversight.
- Prepare and deliver executive strategy sessions, envisioning workshops, architecture design sessions, and rapid prototypes that validate risks, demonstrate capabilities, and enable informed technology and investment decisions.