Digital Solution Architect Lead Advisor

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

Job Description – Agentic AI Solutions Architect   Day to Day job Duties:
As an AI Solutions Architect, You will design and build agentic AI systems across multiple Industries
You will combine GenAI, ML, and systems engineering to create production ready AI agents that interact with machines, data streams, and enterprise systems.

Key Responsibilities   Agentic Architecture & Orchestration     Design and implement  multi-agent AI systems  that coordinate specialized agents, tools, and enterprise workflows.
Develop  agent orchestration frameworks , including planning, reasoning, memory management, task decomposition, and autonomous decision-making capabilities.
Define architectural patterns for  agent governance, observability, evaluation, and safety controls  in enterprise environments.
Define enterprise architecture standards, reference implementations, and best practices for Agentic AI, GenAI, Knowledge Graphs, and retrieval systems.
Knowledge Graphs & Advanced Retrieval     Design and implement  Knowledge Graph and Graph RAG architectures  to improve reasoning, contextual understanding, and retrieval accuracy.
Build and maintain enterprise knowledge models using  ontologies, semantic relationships, metadata, and graph databases .
Develop advanced retrieval pipelines combining  vector search, hybrid search, graph traversal, and semantic retrieval techniques .
Agent Evaluation & Operations     Establish frameworks for measuring  agent performance, reasoning quality, task completion accuracy, and retrieval effectiveness .
Build evaluation pipelines for agentic systems, including  hallucination detection, grounding validation, and response quality metrics .

Basic Qualifications:

8+ Years of Strong experience in Python-based AI systems
Demonstrated experience building and deploying agentic AI systems in production environments.
3+ years architecting and deploying enterprise-scale agentic AI solutions using frameworks such as  CrewAI, Lang Chain, Lang Graph, Auto Gen, Strands , or equivalent orchestration platforms
Experience designing and implementing multi-agent architectures, agent workflows, tool-calling systems, planning/reasoning agents, and agent orchestration patterns

Experience with Knowledge Graphs, semantic data models, and retrieval architecture, including technologies such as  Neo4j, AWS Neptune, RDF, SPARQL, vector databases, graph-based RAG , or similar enterprise knowledge systems
Strong understanding of advanced retrieval techniques including Graph RAG, hybrid search, knowledge-grounded AI systems, embeddings, vector search, and semantic retrieval strategies
Bachelor’s in computer science or equivalent work experience
Additional Qualifications (Nice to Have)     Experience building production grade AI systems  (not just prototypes)
Ability to explain AI decisions to non-technical stakeholders
Multiple Industry Domains experience
AWS, GCP, or NVIDIA AI stack experience
Knowledge of model governance and explainability

Experience with document intelligence pipelines
Comfortable working with subject-matter experts
Strong learning mindset and adaptability
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…