Agentic AI Engineer

NTT DATA North America; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

NTT DATA North America is seeking a Software Dev. Sr. Specialist Advisor for its Toronto office. This role involves designing and implementing agent-based AI systems across multiple sectors such as healthcare and finance. Ideal candidates will have over 8 years of experience with Python-based AI systems and GenAI, strong full-stack development skills, and familiarity with Azure cloud services. A Bachelor's degree in Computer Science or equivalent work experience is required. NTT DATA champions an inclusive work culture.

Qualifications

• 8+ years’ experience using Python-based AI systems.
• 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering).
• 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 building production AI systems, not just prototypes.

Responsibilities

• Design and implement agent-based AI workflows for different domains.
• Build multi-agent financial AI systems with analysis and advisory agents.
• Integrate LLMs with sensor data, MES, ERP, and IoT platforms.
• Deploy, monitor, and optimize AI systems in Azure.

Skills

Python

GenAI

Full-stack development

Azure cloud services

Traditional ML

Education

Bachelor's in Computer Science or equivalent work experience

Tools

Azure ML

AWS

GCP

NVIDIA AI stack

Job description

Req ID: 353881

NTT DATA seeks a Software Dev. Sr. Specialist Advisor to join our team in Toronto, Ontario (CA-ON), Canada (CA). The AI Architect 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

• 8+ years’ experience using Python-based AI systems
• 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
• 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 stakeholdersInterest in agentic AI and next-generation AI architectures
• Degree: Bachelors in Computer Science or equivalent work experience

Additional Desired Qualifications (Not Required)

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

NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.