Why This Role Stands Out
As an AI Architect at Technogen, you'll design cutting-edge agent-based AI workflows and LLM-powered systems, driving innovation in healthcare and RCM with a focus on HIPAA compliance. This hybrid role offers significant growth potential and the chance to build impactful solutions for diverse clients, perfect for experienced AI professionals seeking to expand their expertise. Apply today to join a leading IT services firm with a strong reputation and a commitment to excellence.
Quick Overview
Job Description
TECHNOGEN, Inc. is a Proven Leader in providing full IT Services, Software Development and Solutions for 15 years.
TECHNOGEN is a Small & Woman Owned Minority Business with GSA Advantage Certification. We have offices in VA; MD & Offshore development centers in India. We have successfully executed 100+ projects for clients ranging from small business and non-profits to Fortune 50 companies and federal, state and local agencies.
Title: AI Architect
Location: Nashville, TN (Remote)
Healthcare and RCM experience are mandatory
Day to Day job Duties: (what this person will do on a daily/weekly basis)
- Design and implement agent-based AI workflows for different domains such as :
- healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
- Design agentic AI architectures for manufacturing workflows
- Build multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
- Implement RAG over financial documents, policies, contracts, and filings
- Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
- Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
- Implement HIPAA aware AI architectures with auditability and traceability
- Implement GenAI systems using RAG over CRM, customer data, and content
- Build full-stack applications (Python APIs, AI services, UI dashboards)
- Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
- Integrate LLMs with sensor data, MES, ERP, and IoT platforms
- Collaborate with SMEs to translate medical workflows into agent logic
- Deploy, monitor, and optimize AI systems in Azure
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
- Strong experience in Python-based AI systems - 8+ Years
- Comfortable working with subject-matter experts
- Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering) - 8+ Years
- Experience with traditional ML (classification, regression, NLP, time-series)
- Full-stack experience (API design + UI integration) - 5+ Years
- Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
- Experience working in regulated or compliance-heavy domains
- Strong learning mindset and adaptability
- Experience building production AI systems, not just prototypes
- Ability to explain AI decisions to non-technical stakeholders
- Interest in agentic AI and next-generation AI architectures
Degree: Bachelors in Computer Science or equivalent work experience
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