Twk_3350 Senior Agentic AI & Snowflake Architect | State Of Texas | Austin,Tx#Onsite | F2F Interview

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Requirement details:

Internal job ID:TWK_3350

Senior Agentic AI & Snowflake Architect

State of Texas
 

Austin, TX# Onsite

Note: 

 1)This Position is Onsite

 2) The program will allow candidates who are LOCAL TO Texas state only 

• Active Texas DL & LinkedIn ID  Must for submission
• LOCAL to Texas profiles only
• Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

Interview Mode: ☒    In person ☒    Through Microsoft Teams

Note: The consultant must be ok for In Person Interview at Austin-TX

NO OPT / Fake GC

Must have:

• Snowflake, Snowpark, Streamlit, and Cortex AI, RAG, LLM, MCP, DBT, Python,
• 3+ years building LLM-based systems
• 2+ years designing and operating agentic AI systems in production

Job Description:

• Architect and establish the platform's four foundational pillars:
• Reusable Foundational Agents: Design modular, task-specific AI agents that can be chained together to handle complex data lifecycle tasks.
• Enterprise Applications: Build and deploy user-facing agentic workflows tailored to enterprise needs.
• Balanced Agent Governance: Implement enterprise-grade security including Single Sign-On (SSO), Role-Based Access Control (RBAC), Model Context Protocol (MCP) or OpenAI-compatible standards, and a centralized Agent Catalog.
• Observability & Human-in-the-Loop Controls: Integrate comprehensive monitoring, logging, and guardrails to ensure reliability, transparency, and essential human oversight.

Qualifications & Skills
1)  Snowflake Mastery: Deep, hands-on experience architecting complex data solutions within the Snowflake ecosystem (including Snowpark, Streamlit, and Cortex AI).
2)  Agentic AI & LLMs: Proven track record of developing agentic frameworks, multi-agent orchestration, and leveraging open standards (MCP, OpenAI-compatible APIs).
3)  Data Engineering Infrastructure: Expertise in DBT, SQL, Python, and orchestrating modern ETL/ELT pipelines.
4)  Enterprise Security: Strong understanding of IAM, SSO, RBAC, and governance frameworks in public sector or highly regulated environments.
5)  Collaboration: Excellent communication skills to work closely with data engineers, architects, and business stakeholders.

Minimum Yrs of Experience, Skills, and Qualifications

• 10+ years in software or data engineering, including 3+ years building LLM-based systems and 2+ years designing and operating agentic AI systems in production — systems serving live business users or workloads. Prototypes, pilots, internal demos, and RAG chatbots do not meet this bar.
• Served as the lead architect of at least one multi-agent system that has run in production for 12+ months, with direct ownership of supervisory/planner–worker orchestration, tool calling, state and memory management, and error recovery for long-running workflows.
• Prior experience building Agent Registry or Catalog
• Production experience with agent-generated code that executes: sandboxed execution, automated validation and testing of generated artifacts, and engineer review-and-approve workflows gating deployment. (Directly relevant — this platform generates executable ingestion code and DBT packages.)
• Built and operated agent evaluation harnesses in production: offline eval suites, regression testing for prompt and model changes, and measurable quality gates that block release on failure.
• Operated LLM observability in production: per-run tracing of agent decisions and tool calls, token and cost monitoring, and hands-on triage of agent failures and incidents.
• Implemented guardrails and human-in-the-loop controls in a governed environment: approval gates, permission-scoped tool access for agents, audit logging, and rollback procedures
• Has built or deployed MCP servers/clients or OpenAI-compatible tool interfaces in a production system — not just consumed a vendor API.
• Strong Python and SQL; CI/CD for data platforms; SSO (SAML/OIDC) and RBAC design.

CANDIDATE SUBMISSION DETAILS

Please include the following with every profile:

• Updated Resume
• Job ID: TWK_3350
• Current Location
• Total Experience
• Snowflake
• LLM
• Snowpark
• Agentic AI
• Availability
• Rate
• Work Authorization
• LinkedIn Profile
• OK for F2F Interview at Austin-TX:

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Thanks & Regards

Sekhar | Sr.IT Technical Recruiter

Tekwings LLC
Email :  xxxxxxxxxxxxxxx 

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