Streamline's mission is to build innovative technological solutions that empower people who improve behavioral health and quality of life of those in need. We are a high growth technology company that delivers web-based software for healthcare organizations to provide and coordinate all service delivery processes. Streamline has been offering software in the behavioral health marketplace since 2003. Streamline has built and maintains systems for some of the premier behavioral health organizations in United States of America, using the latest web-based technology.
Role Overview
This role requires a blend of
technical depth, AI solution development skills, and architectural vision
to drive innovation in Quality Assurance and accelerate intelligent test automation.
We are seeking an
AI QA Architect
with a strong background in Quality Engineering and hands-on expertise in applying
Artificial Intelligence (AI) and Generative AI (GenAI)
across testing workflows.
The ideal candidate will architect, design, and implement
AI-driven QA frameworks
, build
agent-based GenAI applications
, and integrate intelligent automation solutions into enterprise QA ecosystems.
Key Responsibilities
AI-Driven QA Strategy & Architecture
+ Design and implement
AI-powered QA frameworks
integrating capabilities such as self-healing automation, intelligent defect prediction, test case generation, and root cause analysis.
+ Define and execute the
AI enablement roadmap
for QA practices, leveraging LLMs, ML models, and automation accelerators.
GenAI Application Development
+ Develop
Agent-based GenAI applications
using frameworks such as
LangChain, LlamaIndex, or Semantic Kernel
.
+ Enable
multi-agent collaboration
for test generation, failure triage, and defect clustering.
AI Application Integration & Automation
+ Build and integrate GenAI applications with
GitHub Copilot
, CI/CD pipelines, and test automation frameworks.
+ Implement
AI-based copilots
to assist test engineers with code suggestions, scenario design, and defect classification.
+ Host and deploy AI applications on
cloud (Azure/AWS/GCP)
or
on-premise intranet environments
, ensuring security and compliance.
Hands-On Development & Implementation
+ Develop AI/ML components using
Python, JavaScript, or Java
, integrating APIs from
OpenAI, Gemini, Claude, or Azure OpenAI Service
.
+ Create and fine-tune LLM prompts and workflows for
test artifact generation, requirement understanding, and automation script synthesis
.
Required Skills & Experience
Core QA Expertise:
+ 10+ years of QA experience, with strong knowledge of
automation frameworks, performance testing, and CI/CD integration
.
+ Proven experience architecting or scaling
test automation frameworks
(Selenium, Playwright, Cypress, etc.).
AI & GenAI Skills:
+ Hands-on experience in
AI-based QA solutions
-- self-healing, test generation, or intelligent analytics.
+ Experience developing
Agent-based GenAI apps
using
LangChain, LlamaIndex, AutoGen, or CrewAI
.
+ Strong understanding of
prompt engineering, RAG workflows, and LLM model tuning
.
+ Experience integrating with
GitHub Copilot
or other AI developer assistants.
Programming & Tools:
+ Proficiency in
Python
(preferred),
Java
, or
JavaScript
for AI and automation development.
+ Familiarity with
OpenAI, Hugging Face, Gemini, or Anthropic APIs
.
+ Knowledge of
Azure, AWS, or GCP
for AI service deployment and monitoring.
+ Experience using
Docker, Kubernetes, and REST APIs
for app deployment.
Preferred Qualifications
Experience implementing
AI-driven QA accelerators
or
GenAI copilots
within enterprise testing environments.
Knowledge of
security, compliance, and governance
for AI-enabled testing workflows.
Contributions to open-source AI or QA projects will be an added advantage.
Certifications in
AI/ML, Cloud (Azure/AWS), or Advanced Test Automation
preferred.
Streamline Healthcare Solutions is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin, or any other characteristic protected under federal, state, or applicable local law.
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