About the Role
The AI Architect 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.
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
Requirements
- 8+ years’ experience using Python-based AI systems
- 8+ years hands-on experience with GenAI (LLMs, RAG, embeddings, prompt engineering)
- Experience with traditional ML (classification, regression, NLP, time-series)
- Full-stack experience (API design + UI integration) - 5+ Years
- Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years
- 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
Skills
- Python
- GenAI
- LLMs
- RAG
- Embeddings
- Prompt Engineering
- Traditional ML
- Classification
- Regression
- NLP
- Time-series
- Full-stack development
- API design
- UI integration
- Azure ML
- Azure OpenAI
- Azure Functions
- AKS
- FHIR/HL7
- Sensor data integration
- MES integration
- ERP integration
- IoT platform integration
Location
- toronto, Ontario (CA-ON), Canada (CA)
Work Type
- Onsite
- Remote
- Hybrid
Experience Level
- 8+ years experience
- 5+ Years experience
Education Level
- Bachelors in Computer Science or equivalent work experience
About the Company
- 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 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.
Equal Opportunity
- 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.
