AI Python Architect

Role Description

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.

Day to Day Job Duties

• Design and implement agent-based AI workflows for different domains such as:
• Healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
• Agentic AI architectures for manufacturing workflows
• Multi-agent financial AI systems (analysis agents, compliance agents, advisory agents)
• RAG over financial documents, policies, contracts, and filings
• LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
• Classical ML models (risk scoring, prediction, clustering, anomaly detection)
• HIP ware AI architectures with auditability and traceability
• GenAI systems using RAG over CRM, customer data, and content
• 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

Qualifications

• Strong experience in Python-based AI systems - 8+ Years
• 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
• 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

Requirements

• Multiple Domain exposure (Nice to Have)
• AWS, GCP, or NVIDIA AI stack experience (Nice to Have)
• Knowledge of model governance and explainability (Nice to Have)
• Experience with document intelligence pipelines (Nice to Have)

Benefits

• Participation in medical, dental, and vision insurance
• Flexible spending or health savings account
• AD&D insurance
• Employee assistance program
• Participation in a 401k program
• Additional voluntary or legally-required benefits