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Software Dev. Sr. Specialist Advisor

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NTT DATA

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Location:
Canada , Toronto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

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.

Job Responsibility:

  • 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
  • Degree: Bachelors in Computer Science or equivalent work experience

Nice to have:

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

Additional Information:

Job Posted:
May 04, 2026

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