AI Cloud Presales Architect
About the role
- Lead discovery sessions to identify high-value AI and application use cases
- Design GenAI, RAG, and agentic application solutions on Azure, AWS, or Google CloudBuild demos and proofs of concept that show clients what’s possible
- Own the technical side of RFPs, proposals, and SOWs, including estimates and team sizing
- Present solutions to development teams and C-level stakeholders
- Partner with sales and delivery to win deals and hand off cleanly
- What You Bring 8+ years in application development or architecture, including 3+ years in presales or solutions consulting
- Hands-on coding background in Python, C#/.NET, Java, or JavaScript/TypeScriptExperience delivering GenAI solutions such as copilots, RAG applications, or AI agents
- Experience with platforms such as Azure OpenAI, AWS Bedrock, or Google Vertex AIStrong cloud-native development experience: APIs, microservices, serverless, and containers
- Consulting firm or systems integrator background
- Must reside in Michigan or the Dallas, TX area
- Cloud or AI certifications (Azure AI Engineer, AWS Developer, or similar)
- Experience with LangChain, Semantic Kernel, or vector databases
- Microsoft Copilot Studio or Power Platform experience
- Application modernization experience with legacy .NET or Java#INDCEI #ZR
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
