AI Architect – Agentic Systems -

100% Remote in Canada

6+ Months Duration

T4 or C2C

*Must Reside in Canada

For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.

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/ 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 of Solid 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

Nice to Have; (But not a must)

- Multiple Domain exposure
- AWS, GCP, or NVIDIA AI stack experience




- Knowledge of model governance and explainability
- Experience with document intelligence pipelines
- Description de Poste - Architecte IA / Ingénieur IA Senior – Systèmes Agentiques

Missions Quotidiennes

En tant qu'Architecte IA, vous concevrez et développerez des systèmes d'IA agentiques pour de multiples secteurs tels que la santé, la finance, la vente au détail, etc. Vous associerez l'IA générative (GenAI), le Machine Learning (ML) et l'ingénierie des systèmes pour créer des agents IA capables d'interagir avec les machines, les flux de données et les systèmes d'entreprise.

Responsabilités Clés

- Concevoir et implémenter des flux de travail IA Clientés sur des agents pour différents domaines :
- Cas d'usage en santé (assistants cliniques, agents de triage, optimisation des parcours de soins, automatisation de la gestion du cycle de revenus (RCM))
- Architectures d'IA agentique pour les flux de travail industriels (secteur manufacturier)
- Systèmes d'IA financière multi-agents (agents d'analyse, de conformité, de conseil)
- Implémenter le RAG (génération augmentée par récupération) sur des documents financiers, politiques, contrats et rapports professionnels.
- Développer des systèmes propulsés par des LLM (RAG, agents d'appel d'outils, orchestration multi-agents).
- Créer des modèles ML classiques (évaluation des risques, prédiction, classification, détection d'anomalies).
- Mettre en œuvre des architectures IA conformes aux normes HIPAA, avec auditabilité et traçabilité.
- Dép

📌 AI Architect Agentic Systems (Toronto)
🏢 NTT DATA
📍 Toronto