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.
Location
Dallas, TX (Remote)
Day to Day Job Duties
As an AI Architect, you will design and build agentic AI systems for multiple domains such as Healthcare, Finance, and Retail. You will combine GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.
Key Responsibilities
- Design and implement agent-based AI workflows for different domains:
- Healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
- Manufacturing workflows
- 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
- Python-based AI systems: 8 Years
- GenAI (LLMs, RAG, embeddings, prompt engineering): 8 Years
- 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
- Comfortable working with subject-matter experts
- 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
Nice to Have
- Multiple domain exposure
- AWS, Google Cloud Platform, or NVIDIA AI stack experience
- Knowledge of model governance and explainability
- Experience with document intelligence pipelines