Principal Innovation Hub Solution Engineer, Cloud and AI at Microsoft

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Transformation, Cloud Solutions, Technical Consulting, Architecture Design, AI Management, Security, Microservices, API Development, Azure Services, Design Thinking, Enterprise Architecture, Consultative Selling, Python, JavaScript, Typescript, C#

Industry

Software Development

Description

Implementing robust AI transformation solutions and optimizing the integration of various technologies and services will be key aspects of your role. Delivering customer engagements: Prepare and deliver technical engagements including strategy sessions, envisioning workshops, architecture design sessions and rapid prototyping to demonstrate key capabilities, validate against identified risks and finalize technology choices. Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Develop skills in AI management and security, real-time intelligence, and application architecture to support AI transformation initiatives. Development - build custom AI Solutions with AI Foundry for pro code custom agents using Python, JavaScript, Typescript, C#, HTML5, SQL, and Copilot Studio for building low-code solutions. Architecture - architect modern, cloud-based applications using containers, microservices, API services, and more. 4+ years technical pre-sales or technical consulting experience AND Master's Degree in Computer Science, Information Technology, or related field OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience. 5+ years of experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management. AI Solution Design Experience: Expertise in designing architectures and hands-on experience building and deploying AI. Experience with Copilot Studio, AI Foundry, Large Language Models, prompt engineering, agentic architecture, responsible AI practices and familiarity with emerging industry standards such as MCP and A2A. Understanding of AI-related Azure services such as Cognitive Services and more. Certification in relevant technologies or disciplines Azure Certifications: AI-102 Azure AI Engineer Associate or AZ-305 Azure Solutions Architect Expert or DP-600 Fabric Analytics Engineer Associate or DP-700 Fabric Data Engineer Associate or AZ-204 Azure Developer Associate or other domain-relevant certifications from different vendors Design Thinking: Proven experience of delivering design thinking; ‘ideation'; or similar context analysis / problem framing. AI and Application Design Expert: Extensive, hands-on experience on developing APIs using microservices and modern application development techniques. Experience with SDLC leveraging Azure DevOps, GitHub Enterprise, or similar tools. Architectural experience of guiding enterprise customers on developing modern applications with AI technologies. Adept at solution design, development, integration, governance, compliance, and security, this role drives operational excellence and responsible AI transformation through scalable, secure, and sustainable solutions. Enterprise Architect Experience: Proven experience as an Enterprise Architect, designing and implementing large-scale, complex solutions that align with business goals and technical requirements. Ability to integrate various technologies and platforms to create cohesive and scalable architectures. Experience with cloud and hybrid infrastructures, adjacent technologies, architecture designs, migrations, and industry standards. Strategic & Structured Facilitator: Validated customer experience in requirements capture; prioritization; capturing evidence and impact to quantify business value; issue, risk and constraint identification with a focus on strategic goals and outcomes. Use of consultative selling skills to navigate complex technical landscapes, establish trust and deliver tailored solutions that meet specific customer needs.

Responsibilities

Implement robust AI transformation solutions and optimize the integration of various technologies and services. Deliver customer engagements through technical sessions, architecture design, and rapid prototyping.