Junior Solutions Architect, AI Operations

Description

Join the Future of Diagnostic Innovation at MicroGenDX

Are you passionate about transforming healthcare through cutting-edge science? At MicroGenDX Laboratory, we’re redefining infection diagnostics with advanced molecular technologies like Polymerase Chain Reaction (PCR) and Next Generation DNA Sequencing (NGS) empowering physicians to detect all bacteria and fungi in a sample, not just what grows in a petri dish.

Our mission is simple yet powerful: equip doctors with the tools they need to deliver the best outcomes for their patients. With over 100+ peer-reviewed publications and countless stories from patients whose lives have been improved—or even saved—by our technology, we’re proud to be at the forefront of caring innovation.

Trusted by leading hospitals, health systems, and specialists across the country, MicroGenDX reduces diagnostic uncertainty, supports targeted treatment, and improves patient outcomes. From wound care, urology, orthopedics, ENT, and women’s health, we are redefining the future of infectious disease diagnostics. 

We’re looking for driven, curious, and compassionate professionals who share our commitment to excellence in patient care and scientific advancement. If you're ready to make a real impact in healthcare, we invite you to bring your talent to MicroGenDX.

Innovate with purpose. Grow with us. Change lives.

Apply today and be part of something extraordinary.

Job Summary:

The Junior Solutions Architect, AI Operations is a specialized technical role responsible for designing and implementing the "connective tissue" between MicroGenDX’s core software stack and emerging AI capabilities. Reporting directly to the CTO, you will focus on architecting automated workflows that replace legacy manual processes and offshore dependencies. This is not a standard feature-development role; it is a systems-thinking position dedicated to building the autonomous infrastructure of the future. The role combines software development, cloud integration, and AI orchestration to deliver secure, scalable, and reliable AI solutions across the organization.

Duties/Responsibilities:

AI Architecture & Orchestration

• System Integration: Design and deploy secure integrations (Python and C#) enabling Large Language Models (LLMs) to interact with internal diagnostic and operational databases.
• Agentic Workflow Design: Architect and implement autonomous AI agents that execute complex, multi step business logic.
• Technical Auditing & Traceability: Implement and maintain model and prompt versioning, monitoring, and auditing capabilities to ensure AI-driven processes are traceable and accountable.

Governance, Compliance & NIST Alignment

• Security by Design Frameworks: Translate the NIST Cybersecurity Framework (CSF) into actionable technical guardrails for AI systems and agents.
• Regulatory Safeguards: Architect compliant data flows that maintain 100% HIPAA and CLIA compliance, preventing sensitive data from leaking into public or third party LLM training sets.

Operational Transformation

• Offshore Knowledge Ingestion: Lead the technical knowledge transfer from legacy offshore codebases into MicroGenDX’s internal, AI augmented development environment.
• Strategic Prototyping: 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.
• Adheres to all company policies and applicable laws and regulations.
• Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.

Requirements

Required Skills/Abilities: 

• 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).
• Familiarity with Microsoft Azure and cloud-based AI development platforms.
• 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. 

Preferred Skills/Abilities: 

• Hands-on experience with Azure DevOps, including CI/CD deployment workflows. 
• Experience with Microsoft Foundry (formerly Azure AI Foundry) or comparable enterprise AI development platforms.
• Foundational proficiency in C# for core application and system integration.
• Familiarity with React or similar frontend frameworks. 

Education and Experience:

• 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.
• Familiarity with prompt versioning and LLM model evaluation.