Agentic AI Architect
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Job Location:
Minneapolis, MN - USA
Monthly Salary:
Not Disclosed
Posted on:
5 days ago
Vacancies:
1 Vacancy
Job Summary
JD - Agentic AI Architect
Seeking for an Agentic AI Architect to design build and deliver productiongrade agentic AI systems using MCP (Model Context Protocol) and Google Agent Development Kit (ADK). This role requires strong expertise in AI/ML architecture Python development and cloud-native platforms with a proven track record of taking AI solutions from prototype to enterprise production.
Key Responsibilities
- Architect and implement agent-based AI solutions including multi-agent workflows tool integration memory and orchestration using MCP and Google ADK.
- Lead end-to-end delivery of agentic solutions ensuring reliability scalability observability and cost efficiency in production.
- Design robust AI/ML architectures for LLM-based systems including prompt strategies RAG and evaluation frameworks.
- Write and review production-quality Python code and establish testing CI/CD and deployment best practices.
- Build and deploy solutions primarily on GCP (Vertex AI Cloud Run GKE) with transferable knowledge across AWS and/or Azure.
- Research emerging agentic AI patterns and translate innovations into practical business-ready solutions.
- Provide technical leadership mentor engineers and collaborate closely with business product platform and IT stakeholders.
Required Qualifications
Strong hands-on experience with Agentic AI systems MCP and Google ADK.
Demonstrated success delivering AI/ML solutions to production.
Deep expertise in AIML architecture and advanced Python development.
Experience with GCP preferred; AWS/Azure experience is a plus.
Proven leadership research capability and stakeholder communication skills.
Required Experience:
Unclear Seniority
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.
