[Hiring] AI Architect @NTT DATA

Role Description

NTT DATA's Client is seeking an AI Architect to join their team in Canada (REMOTE). 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 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)
• 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

Qualifications

• 8+ Years of Strong experience in Python-based AI systems
• 8+ Years of Hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
• 8+ Years of Experience with traditional ML (classification, regression, NLP, time-series)
• 5+ Years of Full-stack experience (API design + UI integration)
• 5+ Years of Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS)
• 5+ Years of 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

• Medical, dental, and vision insurance
• Flexible spending or health savings account
• Life and AD&D insurance
• Short-and long-term disability coverage
• Paid time off
• Employee assistance
• Participation in a 401k program with company match
• Additional voluntary or legally required benefits