AI Technical Architect

Must have skillset:

Experience of:

• 8+ yrs of Technology leadership

• Overall IT experience-12+ overall, as a developer in Fullstack/Backend
• Minimum 3 yrs exp in deep AI tech

Ability to:

• lead a team of Architects/AI Developers/QA
• produce enterprise level service design with consideration to network, cloud, integration, technology, release management, performance, change management and validation with scalability, availability, observability, security

Day to Day job Duties: (what this person will do on a daily/weekly basis)

As an AI Architect, You will design and build agentic AI systems for multiple Domains such as Healthcare/ Finance/ Retail etc.

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 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
• 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