Junior Solutions Architect, AI Operations

MicroGenDX

Junior Solutions Architect designing AI automation infrastructure for precision diagnostics at MicroGenDX. Collaborating with teams to enhance diagnostic processes through advanced technology solutions.

Posted 6/2/2026full-timeLubbock • Texas • 🇺🇸 United StatesJunior💰 $75,000 - $80,000 per yearWebsite

Tech Stack

Tools & technologies

CloudCyber SecurityPython

About the role

Key responsibilities & impact

Design and deploy secure “glue code” (Python and C#) enabling Large Language Models (LLMs) to interact with internal diagnostic and operational databases.
Architect and implement autonomous AI agents that execute complex, multi-step business logic.
Serve as the primary architect for the company’s Model & Prompt Registry, ensuring all AI-driven decisions are version-controlled, auditable, and fully traceable.
Translate the NIST Cybersecurity Framework (CSF) into actionable technical guardrails for AI systems and agents.
Architect compliant data flows that maintain 100% HIPAA and CLIA compliance, preventing sensitive data from leaking into public or third-party LLM training sets.
Lead the technical knowledge transfer from legacy offshore codebases into MicroGenDX’s internal, AI-augmented development environment.
Rapidly build proof-of-concept (PoC) solutions to help the CTO demonstrate measurable ROI from AI initiatives to executive leadership.
Collaborate with cross-functional teams, including bioinformatics, IT, and software engineering, to ensure data and AI tools align with business needs.
Maintain technical documentation for AI orchestration workflows, architectural decisions and governance controls.
Maintain confidentiality and adhere to company policies, including a signed NDA.

Requirements

What you’ll need

Strong ability to conceptualize and explain how APIs, databases, cloud services, and user interfaces interact within a modern cloud environment.
Familiarity with REST APIs, JSON-based workflows, and system integration patterns.
Working proficiency in Python (AI orchestration and automation).
Demonstrated ability to analyze complex manual or fragmented processes and architect scalable AI-Powered automation solutions.
Comfortable working in fast-moving environments with evolving technical requirements and emerging AI technologies.
Strong troubleshooting and systems-level debugging skills across interconnected software components.
Awareness of secure software development and data handling practices.
Bachelor’s degree in computer science, Software Engineering, or a related technical field.
Experience with Retrieval-Augmented Generation (RAG), vector databases, or Large Language Model API integrations.

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) with company match
Paid time off and paid holidays
Opportunity to work directly with executive leadership on high-impact AI initiatives

ATS Keywords

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Hard Skills & Tools

PythonC#AI orchestrationautomationREST APIsJSONdata flowsscalable AI-Powered automationdebuggingRetrieval-Augmented Generation (RAG)

Soft Skills

conceptualizationexplanationtroubleshootingcollaborationadaptabilitycommunicationleadershipanalytical thinkingproblem-solvingconfidentiality

Certifications

Bachelor’s degree in computer scienceBachelor’s degree in Software Engineering