Digital Solution Architect Lead Advisor

NTT America, Inc.; Halifax; On-site; CAD 140,000 - 180,000; Full time

Job summary

NTT DATA in Halifax, Nova Scotia, is seeking a Digital Solution Architect Lead Advisor to lead enterprise-scale AI initiatives. You will design, solution, and deliver AI architectures, working with executives to define strategies and governance, especially for regulated healthcare environments.

Responsibilities include building LLM-powered systems, agent-based workflows, and full-stack AI applications, with Azure deployment and strong stakeholder communication.

Qualifications

• Bachelor's or Master's in CS, AI, IT, or related field.
• 3+ years designing and delivering production-grade AI solutions.
• 8+ years Python-based AI development experience.
• 3+ years Generative AI, LLMs, embeddings and prompt engineering.
• 6+ years traditional ML (classification, regression, NLP).
• 2+ years Agentic AI and emerging AI architectures.
• 8+ years end-to-end AI apps including APIs and UI.
• 3+ years Azure AI ecosystem (Azure OpenAI, Azure AI/ML, AKS).
• 3+ years cloud transformation, SaaS modernization.
• 3+ years Responsible AI, governance, security, compliance.
• Experience delivering AI in regulated industries (healthcare preferred).
• Strong stakeholder management and executive communication.
• Certs in Azure AI Engineer / Solutions Architect or cloud AI are desirable.

Responsibilities

• Define AI strategy, roadmaps, and implementation plans.
• Design and architect enterprise-grade AI, GenAI, and Agentic AI solutions.
• Build agent-based AI workflows for healthcare use cases.
• Develop LLM-powered systems with RAG and multi-agent orchestration.
• Create classical ML models for risk scoring, prediction, and anomaly detection.
• Ensure auditable, compliant AI architectures with governance.
• Build full-stack apps (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.
• Lead discovery workshops and architecture reviews for stakeholders.
• Support sales with AI strategies, estimates, and RFP responses.
• Engage senior leaders to influence technology and business decisions.

Skills

AI architecture

Enterprise solutions

Client consulting

Presales support

Technical leadership

Agentic AI

Generative AI

Machine Learning

Python AI development

LLMs & embeddings

Prompt engineering

Azure AI ecosystem

Stakeholder management

Communication skills

Regulatory/ governance

Education

Bachelor's or Master's in CS/AI/IT or related field

Tools

Azure OpenAI

Azure AI/ML

Azure Functions

AKS

AWS/GCP AI platforms

FHIR/HL7 exposure

Security & governance tooling

Job description

Req ID: 392139

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 .

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