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AI Architect
Job Location:
Job Location:
Blue Ash, OH - USA
Hourly Salary:
USD 90 - 95
Hourly Salary:
Posted:
8 September 2026 (12 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
LeadStack Inc. is an award-winning one of the nations fastest-growing certified minority-owned (MBE) staffing services provider of contingent workforce. As a recognized industry leader in contingent workforce solutions and Certified as a Great Place to Work were proud to partner with some of the most admired Fortune 500 brands in the world.
Job Title: AI Architect
Location: Blue Ash OH 45242
Job Duration: 6 Month(s)
Employment Type: Contract to Hire
Pay Range: $90/hr - $95/hr on W2
Summary
The AI Enablement team is seeking an AI Architect Agentic Platforms to define the architectural foundations that power clients enterprise agent ecosystem. This role is responsible for designing and governing the architecture for agent-based integrations agent registries scoring/evals infrastructure grounding patterns and multi-agent orchestration platforms. The AI Architect provides deep technical leadership across engineering product data science security and cloud teams to ensure that agents are built safely consistently and with enterprise-grade reliability performance and observability. This role combines expertise in large-scale AI systems distributed cloud architecture and modern agentic frameworks.
To know more about current opportunities at LeadStack please visit us at Should you have any questions feel free to call me on or send an email on
Job Title: AI Architect
Location: Blue Ash OH 45242
Job Duration: 6 Month(s)
Employment Type: Contract to Hire
Pay Range: $90/hr - $95/hr on W2
Summary
The AI Enablement team is seeking an AI Architect Agentic Platforms to define the architectural foundations that power clients enterprise agent ecosystem. This role is responsible for designing and governing the architecture for agent-based integrations agent registries scoring/evals infrastructure grounding patterns and multi-agent orchestration platforms. The AI Architect provides deep technical leadership across engineering product data science security and cloud teams to ensure that agents are built safely consistently and with enterprise-grade reliability performance and observability. This role combines expertise in large-scale AI systems distributed cloud architecture and modern agentic frameworks.
- Experience in cloud and distributed systems architecture focused on scalability reliability observability and performance.
- designing enterprise AI/ML systems; 1 years hands-on with GenAI agentic workflows RAG LLM-based integrations or multi-agent systems.
- Strong expertise with agentic frameworks and tooling (MCP LangChain LangGraphLlamaIndex autogen crewai Agent sdkOpenAI SDK etc).
- Hands-on experience in modern software development and engineering practices.
- Proven experience integrating APIs and enterprise systems into agentic platforms and workflows.
- Ability to rapidly build AI-driven prototypes proofs of concept and demo-ready product experiences.
- Experience defining and governing enterprise architecture standards patterns and reference architectures.
- Deep understanding of MCP servers tool calling registries eval pipelines agent observability and multi-agent orchestration.
- Hands-on experience with Azure and GCP including Kubernetes containerization identity networking CI/CD and API platforms.
- Familiarity with AIOps/MLOps stacks (MLflow model registries vector DBs semantic layers feature stores monitoring).
- Strong knowledge of security compliance risk and Responsible AI (RAI) considerations for enterprise agent systems.
- Demonstrated ability to partner across engineering data science product and security teams to deliver complex AI platform architectures.
- Define and maintain the enterprise reference architecture for agentic platforms (agentic framework tools MCP registries evals orchestration grounding observability).
- Establish architectural standards and best practices for agent design tool integration safety telemetry versioning and lifecycle management.
- Provide architectural leadership for agentic platform engineering teams ensuring scalability resiliency performance and operability.
- Design and guide integration with semantic layers embeddings vector search knowledge models and enterprise data products to enable grounded agent behavior.
- Drive architectural direction for low-code/no-code agent-building platforms ensuring governance consistency and ease of adoption.
- Partner with cloud security product and enterprise architecture teams to align agentic platform designs with clients AI governance and RAI principles.
- Define and support agentic SDLC through patterns for evals safety tests regression gates monitoring and benchmarking.
- Evaluate new agentic frameworks open-source standards and orchestration tools to guide build vs buy platform decisions.
- Provide hands-on architectural guidance across engineering and data science teams enabling scalable secure and cost-efficient agent deployment.
- Translate complex business needs into clear technical design patterns and platform capabilities that accelerate agent development.
To know more about current opportunities at LeadStack please visit us at Should you have any questions feel free to call me on or send an email on
Required Experience:
Staff IC
