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Added 6 mins ago
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Full-time
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NTT DATA Services

Digital Solution Architect Lead Advisor

Halifax, NS, Canada

Posting language: English
Posted: Sep 30, 2026

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Original job description

Req ID: 392139

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Digital Solution Architect Lead Advisor to join our team in Halifax, Nova Scotia (CA-NS), Canada (CA).

Role Overview

We are seeking a highly experienced AI Architect to lead the design, solutioning, and implementation of enterprise-scale AI and Agentic AI solutions. This role requires a strong blend of AI architecture, enterprise application design, client consulting, presales support, and technical leadership.

The ideal candidate will have deep expertise in Agentic AI, Generative AI, Machine Learning, Cloud Architecture, FullStack Engineering and Enterprise Solution Design, with proven experience engaging with business leaders, executives, and clients to identify opportunities, define AI strategies, and deliver scalable AI-powered solutions in regulated environment

The AI Architect will serve as a trusted advisor to clients and internal stakeholders, driving AI innovation initiatives, solution architecture, proposal development, architecture governance, and successful delivery of AI transformation programs.

Key Responsibilities

Define AI strategy, architecture roadmaps, and implementation plans aligned with business objectives.
Design and architect enterprise-grade AI, GenAI, and Agentic AI solutions.
Design and implement agent-based AI workflows for healthcare use cases (clinical assistants, triage agents, care pathway optimization, RCM automation)
Build LLM-powered systems (RAG, tool-calling agents, multi-agent orchestration)
Develop classical ML models (risk scoring, prediction, clustering, anomaly detection)
Implement AI architecture with auditability and traceability
Build full-stack applications (Python APIs, AI services, UI dashboards)
Integrate with EHRs, data lakes, and healthcare systems (FHIR/HL7 exposure preferred)
Collaborate with SMEs to translate medical workflows into agent logic
Deploy, monitor, and optimize AI systems in Azure

Establish AI governance, observability, security, compliance, and Responsible AI frameworks.
Lead discovery workshops, solutioning sessions, architecture reviews, and executive presentations to align business needs with AI solutions.
Partner with sales and account teams to develop RFP responses, proposals, AI strategies, estimates, and solution positioning.
Engage senior stakeholders, including Directors, VPs, and CXOs, to influence technology and business decisions.

Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)

Required Qualifications & skills

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
3+ years Strong experience designing, architecting, and delivering production-grade AI solutions for enterprise environments.

8+ years Hands-on expertise in Python-based AI development, including:

3+ years Generative AI (LLMs, RAG, embeddings, prompt engineering)
6+ years Traditional Machine Learning (classification, regression, NLP, time-series forecasting)
2+ years Agentic AI and emerging AI architectures

8+ years Experience building end-to-end AI applications, including API development, integrations, and user-facing solutions.
3+ years Strong experience with Microsoft Azure AI ecosystem (Azure OpenAI, Azure AI/ML, Functions, AKS), with exposure to AWS or Google Cloud AI platforms being advantageous.
3+ years Experience with cloud transformation, SaaS modernization, and enterprise AI platform implementations.
3+ years Deep understanding of Responsible AI, Governance, Security, Privacy, Compliance, and Regulatory Standards.
1+ years Experience delivering AI solutions in regulated industries, such as Healthcare, Insurance, Financial Services, or similar compliance-driven domains.
2+ years Healthcare domain experience in Payer, Provider, RCM, Clinical, or Healthcare Analytics is preferred.
6+ years Strong stakeholder management and communication skills, with the ability to translate complex AI concepts into business value and explain AI-driven decisions to non-technical and executive audiences.
5+ years Comfortable collaborating with business leaders, subject matter experts, and cross-functional teams.
Relevant certifications such as Microsoft Azure AI Engineer, Azure Solutions Architect, AWS AI Specialty, Google Cloud AI Engineer, or equivalent are desirable.
Exceptional communication and presentation skills.
Ability to influence technical and business stakeholders.

Nice to Have

Healthcare domain exposure
FHIR / HL7 familiarity
AWS, GCP, or NVIDIA AI stack experience
Knowledge of model governance and explainability

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.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

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More about this job

Responsibilities

The AI Architect will lead the design and implementation of enterprise-scale AI and Agentic AI solutions within regulated environments. They will serve as a trusted advisor to clients, driving AI strategy, architecture governance, and the delivery of AI transformation programs.

Requirements

Candidates must possess a Bachelor’s or Master’s degree in a relevant field and have extensive experience in AI architecture, Python development, and cloud platforms. Strong stakeholder management skills and experience in regulated industries like healthcare are essential for this role.

Skills

Artificial Intelligence
Generative AI
Agentic AI
Machine Learning
Cloud Architecture
Python
Azure
Enterprise Solution Design
FullStack Engineering
RAG
LLM
Stakeholder Management
Governance
Healthcare Analytics
Data Lakes
FHIR

Benefits

Inclusive work environment
Professional growth opportunities
Global innovation ecosystem

Visa sponsorship

Not detected in the job text

Keywords

Digital Solution Architect
Artificial Intelligence
Generative AI
Agentic AI
Machine Learning
Cloud Architecture
Python
Azure
RAG
LLM
FHIR
HL7
EHR
Governance
Compliance
Responsible AI
FullStack Engineering
Enterprise Solution Design
Healthcare Analytics
Data Lakes
Azure OpenAI
AKS
NLP
Time-series forecasting
Consulting
Proposal Development
RFP
Stakeholder Management
Auditability
Traceability

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