AI Architect

AI Architect – Agentic Systems - 26-01384

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 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 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 / Ingenieur IA Senior – Systemes Agentiques

Missions Quotidiennes

En tant qu'Architecte IA, vous concevrez et developperez des systemes d'IA agentiques pour de multiples secteurs tels que la sante, la finance, la vente au detail, etc. Vous associerez l'IA generative (GenAI), le Machine Learning (ML) et l'ingenierie des systemes pour creer des agents IA capables d'interagir avec les machines, les flux de donnees et les systemes d'entreprise. Responsabilites Cles

Concevoir et implementer des flux de travail IA Clientes sur des agents pour differents domaines : Cas d'usage en sante (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) Systemes d'IA financiere multi-agents (agents d'analyse, de conformite, de conseil) Implementer le RAG (generation augmentee par recuperation) sur des documents financiers, politiques, contrats et rapports professionnels. Developper des systemes propulses par des LLM (RAG, agents d'appel d'outils, orchestration multi-agent