Senior Level Founding AI Engineer Jobs
Senior level founding ai engineer jobs place seasoned engineers at the center of architectural decisions, model strategy, and the cross-functional teams that ship production AI systems. Hiring concentrates in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with employers like Giga, MERCOR, and SERVAL actively hiring at this level now.
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Showing 5 of 18+ Senior Level Founding AI Engineer jobs
Lead AI Solutions Architect / Engineer (Microsoft AI & Copilot)
Location: Remote (U.S.)
Employment Type: Full-Time / Contract (W2 Only)
About the Role
We are seeking an experienced Lead AI Solutions Architect / Engineer with deep expertise in the Microsoft AI ecosystem to lead the design, development, and deployment of enterprise-grade AI solutions. This role will focus on building intelligent copilots, AI assistants, and agentic AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft 365. The ideal candidate has successfully delivered enterprise AI solutions into production and understands how to build secure, scalable, and governed AI applications that integrate seamlessly with Microsoft technologies and enterprise data platforms.
Responsibilities
- Design, develop, and deploy enterprise AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft 365.
- Build AI assistants and copilots capable of securely retrieving information from enterprise knowledge bases, SharePoint, Microsoft 365, and internal documentation.
- Design multi-agent AI architectures using Azure AI Foundry Agents, Copilot Studio, Power Automate, Logic Apps, and enterprise APIs.
- Develop Retrieval-Augmented Generation (RAG) solutions including:
- Semantic Search
- Chunking Strategies
- Vector Indexing
- Prompt Engineering
- Grounding
- Evaluation Frameworks
- Integrate AI applications with Microsoft Graph, Teams, SharePoint, Microsoft 365 services, enterprise search platforms, and business applications.
- Collaborate with business stakeholders to identify and prioritize high-value AI use cases and automation opportunities.
- Ensure enterprise AI solutions comply with security, governance, RBAC, privacy, and organizational compliance requirements.
- Work closely with Data Engineering and Analytics teams to integrate AI solutions with Snowflake and enterprise data platforms.
- Establish AI guardrails, monitoring, evaluation frameworks, governance standards, and operational best practices.
- Produce architecture documentation, technical designs, deployment standards, and implementation guides to support enterprise AI adoption.
Required Qualifications
- 8+ years of experience delivering enterprise software, cloud, analytics, automation, or AI solutions.
- Proven experience deploying at least two enterprise AI/Generative AI solutions into production with measurable business adoption.
- Hands-on experience with Azure AI Foundry (Microsoft Foundry) and/or Copilot Studio.
- Experience building AI Assistants, Microsoft Copilots, or Retrieval-Augmented Generation (RAG) applications.
- Strong experience with Azure OpenAI Service and Microsoft AI technologies.
- Experience integrating Microsoft Graph, Microsoft 365, SharePoint, enterprise search, and secure organizational content retrieval.
- Strong understanding of:
- Semantic Search
- Vector Databases
- Prompt Engineering
- AI Orchestration
- Enterprise AI Security
- Experience with Microsoft Entra ID, Authentication, Role-Based Access Control (RBAC), and enterprise identity management.
- Demonstrated experience taking AI solutions from Proof of Concept through Production deployment and operational support.
Lead AI Solutions Architect / Engineer (Microsoft AI & Copilot)
Location: Remote (U.S.)
Employment Type: Full-Time / Contract (W2 Only)
About the Role
We are seeking an experienced Lead AI Solutions Architect / Engineer with deep expertise in the Microsoft AI ecosystem to lead the design, development, and deployment of enterprise-grade AI solutions. This role will focus on building intelligent copilots, AI assistants, and agentic AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft 365. The ideal candidate has successfully delivered enterprise AI solutions into production and understands how to build secure, scalable, and governed AI applications that integrate seamlessly with Microsoft technologies and enterprise data platforms.
Responsibilities
- Design, develop, and deploy enterprise AI solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, and Microsoft 365.
- Build AI assistants and copilots capable of securely retrieving information from enterprise knowledge bases, SharePoint, Microsoft 365, and internal documentation.
- Design multi-agent AI architectures using Azure AI Foundry Agents, Copilot Studio, Power Automate, Logic Apps, and enterprise APIs.
- Develop Retrieval-Augmented Generation (RAG) solutions including:
- Semantic Search
- Chunking Strategies
- Vector Indexing
- Prompt Engineering
- Grounding
- Evaluation Frameworks
- Integrate AI applications with Microsoft Graph, Teams, SharePoint, Microsoft 365 services, enterprise search platforms, and business applications.
- Collaborate with business stakeholders to identify and prioritize high-value AI use cases and automation opportunities.
- Ensure enterprise AI solutions comply with security, governance, RBAC, privacy, and organizational compliance requirements.
- Work closely with Data Engineering and Analytics teams to integrate AI solutions with Snowflake and enterprise data platforms.
- Establish AI guardrails, monitoring, evaluation frameworks, governance standards, and operational best practices.
- Produce architecture documentation, technical designs, deployment standards, and implementation guides to support enterprise AI adoption.
Required Qualifications
- 8+ years of experience delivering enterprise software, cloud, analytics, automation, or AI solutions.
- Proven experience deploying at least two enterprise AI/Generative AI solutions into production with measurable business adoption.
- Hands-on experience with Azure AI Foundry (Microsoft Foundry) and/or Copilot Studio.
- Experience building AI Assistants, Microsoft Copilots, or Retrieval-Augmented Generation (RAG) applications.
- Strong experience with Azure OpenAI Service and Microsoft AI technologies.
- Experience integrating Microsoft Graph, Microsoft 365, SharePoint, enterprise search, and secure organizational content retrieval.
- Strong understanding of:
- Semantic Search
- Vector Databases
- Prompt Engineering
- AI Orchestration
- Enterprise AI Security
- Experience with Microsoft Entra ID, Authentication, Role-Based Access Control (RBAC), and enterprise identity management.
- Demonstrated experience taking AI solutions from Proof of Concept through Production deployment and operational support.
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Fintech
- Education
Senior Level Founding AI Engineer Jobs: Frequently Asked Questions
How do I get a senior level founding ai engineer job?
Employers hiring at this level look for engineers who have owned AI systems end to end, from architecture through deployment and iteration. Demonstrating that you have set technical direction, mentored junior engineers, and driven measurable outcomes on production models gives you the strongest edge. A portfolio of shipped work and clear examples of cross-functional leadership matter more than credentials alone.
Which companies hire senior level founding ai engineers?
Companies hiring senior level founding ai engineers right now include Giga, MERCOR, and SERVAL, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes primarily from early-stage and growth-stage startups building their core AI infrastructure, as well as established technology companies standing up new AI-focused divisions.
Are there remote senior level founding ai engineer jobs?
Yes, though availability varies by company stage and team structure. About 33% of senior level founding ai engineer openings are remote or hybrid as of November 2026, reflecting strong demand for distributed senior talent. Some early-stage founding roles do prefer on-site presence during critical build phases, so check each listing for location expectations.
What makes a founding ai engineer role senior level?
Senior level founding ai engineer roles are defined by ownership and scope rather than task execution. You are expected to set the technical direction for AI systems, make architecture decisions with long-term consequences, lead or mentor other engineers, and interface directly with leadership and stakeholders. The role requires depth across model development, infrastructure, and production reliability, with limited day-to-day oversight.
Which industries hire the most senior level founding ai engineers?
Senior Level founding ai engineer roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are building AI-native products or embedding AI deeply into core operations, which requires senior engineers who can own the full system rather than contribute to an existing one.