AI Architect – Agentic Systems

NTT DATA, Inc.; Toronto; Remote; CAD 110,000 - 124,000; Part time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k with company match

Paid time off

Job summary

NTT DATA Services is seeking an AI Architect to design agentic AI systems in Canada (remote). You will blend GenAI, ML, and systems engineering to create AI agents that interact with machines, data streams, and enterprise systems.

The role requires extensive experience in Python AI, GenAI, and traditional ML, plus full-stack API/UI work and Azure cloud proficiency. You will collaborate with SMEs and ensure HIPAA-ready architectures in Azure.

Qualifications

• 8+ years of solid experience in Python-based AI systems.
• 8+ years of hands-on GenAI (LLMs, RAG, embeddings, prompts).
• 8+ years of 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 in regulated or compliance-heavy domains.

Responsibilities

• Design agent-based AI workflows for multiple domains.
• Architect agentic AI systems for industrial and manufacturing workflows.
• Build multi-agent financial AI systems (analytics, compliance, advisory).
• Implement RAG over documents, policies, contracts and filings.
• Develop LLM-powered systems (RAG, tool-calling agents, orchestration).
• Create classical ML models (risk scoring, prediction, clustering).
• Ensure HIPAA-compliant architectures with auditability and traceability.
• Deploy GenAI systems using RAG over CRM, client data and content.
• Develop full-stack apps (Python APIs, AI services, dashboards).
• Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7).
• Connect LLMs with sensors, MES, ERP and IoT platforms.
• Collaborate with SMEs to translate medical workflows into agent logic.
• Deploy, monitor and optimize AI systems in Azure.

Skills

Python AI systems

GenAI (LLMs)

Traditional ML

Full-stack API/UI

Azure Cloud

Regulated domains

SME collaboration

Fast learner

Production AI

Explain AI decisions

Education

Bachelors in Computer Science

Tools

Azure ML

Azure OpenAI

AKS

Job description

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 :
• 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)

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

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.
• Déployer des systèmes de GenAI utilisant le RAG sur les CRM, les données clients et les contenus.
• Concevoir des applications full-stack (API Python, services d'IA, tableaux de bord UI).
• Intégrer les solutions avec les DPI (Dossiers Patients Informatisés), les lacs de données et les systèmes de santé (une expérience avec FHIR/HL7 est un plus).
• Connecter les LLM aux données de capteurs, MES, ERP et plateformes IoT.
• Collaborer avec les experts métiers (SMEs) pour traduire les flux médicaux en logique d'agents.
• Déployer, superviser et optimiser les systèmes d'IA dans Azure.

Qualifications Requises

• Plus de 8 ans d'expérience solide dans les systèmes d'IA Clientés sur Python.
• Plus de 8 ans d'expérience pratique avec la GenAI (LLM, RAG, plongements lexicaux [embeddings], ingénierie de requêtes [prompt engineering]).
• Plus de 8 ans d'expérience avec le ML traditionnel (classification, régression, NLP, séries temporelles).
• Plus de 5 ans d'expérience en développement full-stack (conception d'API + intégration UI).
• Plus de 5 ans d'expérience sur le cloud Azure (Azure ML, Azure OpenAI, Functions, AKS).
• Plus de 5 ans d'expérience dans des secteurs réglementés ou à forte conformité.
• Aisance pour travailler avec des experts métiers.
• Esprit d'apprentissage affûte et forte adaptabilité.
• Expérience dans la production de systèmes d'IA réels (Client seulement des prototypes).
• Capacité à expliquer les décisions de l'IA à des parties prenantes non techniques.
• Intérêt pour l'IA agentique et les architectures IA de nouvelle génération.

Diplôme

Baccalauréat / Licence en informatique ou expérience professionnelle équivalente.

Atouts Souhaités (Optionnels)

• Expérience multi-sectorielle.
• Maîtrise des environnements AWS, GCP ou de la suite IA de NVIDIA.
• Connaissances en gouvernance des modèles et en explicabilité de l'IA.
• Expérience avec les pipelines d'intelligence documentaire.

About NTT DATA Services

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.

NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $80 to $90 CAD. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.