Agentic AI Engineer
Summary
Design and build agentic AI systems using GenAI, ML, and systems engineering for domains like healthcare, finance, and retail; implement RAG, multi-agent workflows, and full-stack Python applications on Azure.
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.