AI Architect – Agentic Systems

NTT Data Americas, Inc.; Toronto; Remote; CAD 229,233,000 - 257,887,000; Full time

Job summary

NTT DATA Services in Canada seeks an AI Architect to design and build agentic AI systems across healthcare, finance, and retail. You will fuse GenAI, ML, and systems engineering to create agents that interact with machines and enterprise data.

You will deploy and optimize AI systems in Azure, collaborate with SMEs, and translate medical workflows into agent logic for production environments.

Qualifications

• 8+ years of solid experience in Python-based AI systems.
• 8+ years hands-on GenAI (LLMs, RAG, embeddings, prompts).
• 8+ years traditional ML (classification, NLP, time-series).
• 5+ years full-stack development (API + UI).
• 5+ years Azure cloud (Azure ML, OpenAI, AKS).
• Experience in regulated or compliance-heavy domains.
• Able to work with SMEs and explain AI concepts.
• Strong learning mindset and adaptability.
• Experience deploying production AI systems.
• Interest in agentic AI architectures.

Responsibilities

• Design and implement agent-based AI workflows across domains.
• Develop healthcare, finance, and manufacturing agentic AI architectures.
• Build multi-agent AI systems including analysis, compliance, and advisory agents.
• Implement RAG over documents, policies, contracts, and reports.
• Develop LLM-powered systems with tool-calling and multi-agent orchestration.
• Create classical ML models for risk, prediction, clustering, or anomaly detection.
• Ensure HIPAA-compliant architectures with auditability and traceability.
• Deploy GenAI solutions using RAG on CRM data and content.
• Build full-stack applications (Python APIs, AI services, dashboards).
• Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 a plus).
• Connect LLMs to sensors, MES, ERP, and IoT platforms.
• Collaborate with SMEs to translate workflows into agent logic.
• Deploy, monitor, and optimize AI systems in Azure.

Skills

Python AI systems

GenAI (LLMs)

Traditional ML

Full-stack development

Azure cloud

Regulated domains

SME collaboration

Production AI systems

Explain AI decisions

Agentic AI interest

Education

Bachelor's degree 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 :

• 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-agents).

Creer des modeles ML classiques (evaluation des risques, prediction, classification, detection d'anomalies).

Mettre en œuvre des architectures IA conformes aux normes HIPAA, avec auditabilite et tracabilite.

Deployer des systemes de GenAI utilisant le RAG sur les CRM, les donnees clients et les contenus.

Concevoir des applications full-stack (API Python, services d'IA, tableaux de bord UI).

Integrer les solutions avec les DPI (Dossiers Patients Informatises), les lacs de donnees et les systemes de sante (une experience avec FHIR/HL7 est un plus).

Connecter les LLM aux donnees de capteurs, MES, ERP et plateformes IoT.

Collaborer avec les experts metiers (SMEs) pour traduire les flux medicaux en logique d'agents.

Deployer, superviser et optimiser les systemes d'IA dans Azure.

Qualifications Requises

Plus de 8 ans d'experience solide dans les systemes d'IA Clientes sur Python.

Plus de 8 ans d'experience pratique avec la GenAI (LLM, RAG, plongements lexicaux [embeddings], ingenierie de requetes [prompt engineering]).

Plus de 8 ans d'experience avec le ML traditionnel (classification, regression, NLP, series temporelles).

Plus de 5 ans d'experience en developpement full-stack (conception d'API + integration UI).

Plus de 5 ans d'experience sur le cloud Azure (Azure ML, Azure OpenAI, Functions, AKS).

Plus de 5 ans d'experience dans des secteurs reglementes ou a forte conformite.

Aisance pour travailler avec des experts metiers.

Esprit d'apprentissage affute et forte adaptabilite.

Experience dans la production de systemes d'AI reels (Client seulement des prototypes).

Capacite a expliquer les decisions de l'IA a des parties prenantes non techniques.

Interet pour l'IA agentique et les architectures IA de nouvelle generation.

Diplome

Baccalaureat / Licence en informatique ou experience professionnelle equivalente.

Atouts Souhaites (Optionnels)

Experience multi-sectorielle.

Maitrise des environnements AWS, GCP ou de la suite IA de NVIDIA.

Connaissances en gouvernance des modeles et en explicabilite de l'IA.

Experience 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. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

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.