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# Agentic AI Architect

- **Company:** NTT DATA Corporation
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $122,648.0 - $283,906.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Architectural Patterns, Automated Storage and Retrieval Systems, Memory Management, Graph Database, Python (Programming Language), Knowledge-Based Systems, Metadata, Neo4j, Resource Description Framework (RDF), Search Technologies, SPARQL, Multi-Agent Systems, Kubernetes, Information Technology, Virtual Agents
- **Published:** July 31, 2026
- **Apply:** https://careers-inc.nttdata.com/talentcommunity/apply/1359123500/?locale=en_US

## About the Role

* 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, LangChain, LangGraph, AutoGen, 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

## Description

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.


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