JOB DESCRIPTION Req ID: 353881 We are currently seeking a Agentic AI Engineer 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 engineeringto create AI agents that interact with machines, data streams, and enterprise systems.

Key Responsibilities Design and implementagent-based AI workflowsfor different domains such as : healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation) Designagentic AI architecturesfor manufacturing workflows Buildmulti-agent financial AI systems(analysis agents, compliance agents, advisory agents) Implement RAG over financial documents, policies, contracts, and filings BuildLLM-powered systems(RAG, tool-calling agents, multi-agent orchestration) Develop classical ML models (risk scoring, prediction, clustering, anomaly detection) ImplementHIPAA aware AI architectureswith 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 withsensor 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 withtraditional 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 inregulated or compliance-heavy domains

Comfortable working withsubject-matter experts

Stronglearning mindsetand adaptability

Experience buildingproduction AI systems, not just prototypes

Ability to explain AI decisions to non-technical stakeholders

Interest inagentic 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 About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100.

We are committed to accelerating client success and positively impacting society through responsible innovation.

We are one of the world''s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future.

As a Global Top Employer, we have experts in more than 50 countries.

We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners.NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D;.

📌 Agentic AI Engineer (Toronto)
🏢 NTT
📍 Toronto