Sr Cloud Solutions Architect

Hi,

Greetings from DIA SOFTWARE SOLUTIONS LLC!

We reaching out about an exciting Direct client opportunity with one of our clients. Please review the requirements and let me know if you are interested in this position?

Direct client Req:: Need Sr Cloud Solutions Architect ,Onsite, TX

PLEASE SEND THE RESUMES TO SKUMAR AT DIASOFTWARESOLUTIONS DOT COM !

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

Snowflake Mastery: Deep, hands-on experience architecting complex data solutions within the Snowflake ecosystem (including Snowpark, Streamlit, and Cortex AI).

Agentic AI & LLMs: Proven track record of developing agentic frameworks, multi-agent orchestration, and leveraging open standards (MCP, OpenAI-compatible APIs).

Data Engineering Infrastructure: Expertise in DBT, SQL, Python, and orchestrating modern ETL/ELT pipelines.

Enterprise Security: Strong understanding of IAM, SSO, RBAC, and governance frameworks in public sector or highly regulated environments.

Collaboration: Excellent communication skills to work closely with data engineers, architects, and business stakeholders.

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.

DIA SOFTWARE SOLUTIONS LLC.

Divya| DIA SOFTWARE SOLUTIONS LLC.

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DIA SOFTWARE SOLUTIONS is an Affirmative Action/Equal Opportunity Employer that supports workplace diversity. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All Dia soft staff must be able to demonstrate the legal right to work in the United States. DIA SOFTWARE SOLUTIONS is an E-Verify employer