AI Engineer

NTT Data, Inc.

• $166K — $187K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in a tech lead role focusing on advanced AI and data engineering.
  • Strong proficiency in Python for backend engineering and orchestration of multi-step workflows.
  • Expertise in semantic retrieval, knowledge graphs, and advanced SQL/BigQuery.
  • Experience with cloud platforms, specifically GCP, GKE, and BigQuery for data operations.
  • Familiarity with RDF, SPARQL, and ontology modeling techniques for effective knowledge graph management.

Responsibilities

  • Lead design and implementation of orchestration, semantic, and data foundation frameworks.
  • Mentor and guide engineering teams to develop reusable patterns and achieve production readiness.
  • Evaluate agent quality metrics including accuracy, relevance, and latency to ensure optimal performance.
  • Manage the development and integration of APIs and agent-tool contracts for seamless operation.
  • Conduct comprehensive data-gap analyses and manage quality assessments for data sourcing.

Benefits

  • Access to medical, dental, and vision insurance plans.
  • Flexible spending or health savings accounts available.
  • Participation in a 401k retirement plan with company matching.
  • Employee assistance programs for mental health and wellness support.
  • Eligibility for various voluntary or legally-required benefits.
Full Job Description
Req ID: 390027

We are currently seeking a professional to join our team in New Jersey, United States.
  • Skill Area: Diamond Layer Tech Lead
  • Primary Focus: Master Coordinator, domain agents, semantic retrieval, knowledge graphs, data foundations, and agent quality
  • Backend Engineering: Advanced Python; agent services; multi-step workflows; orchestration state; tool invocation; fallback handling; reusable agent patterns
  • API and Integration: Standard agent and tool contracts; agent registration; deterministic and LLM-assisted routing; multi-domain execution; model and platform adapters
  • Data Engineering: Advanced SQL and BigQuery; source discovery; data-gap analysis; data dictionaries; business-key validation; reconciliation; quality, freshness, lineage, and source-of-truth assessment
  • AI and Retrieval: Deep RAG expertise; retrieval and reranking; grounding; prompt/context assembly; citation support; hallucination reduction; cross-domain synthesis
  • Knowledge Graph: RDF, SPARQL, ontology modeling, SHACL, Stardog, virtual graphs, relational-to-semantic mappings, semantic versioning, and graph promotion
  • Cloud and Infrastructure: GCP, GKE, BigQuery, GCS, agent-runtime deployment, semantic-platform connectivity, environment configuration, and secure service identities
  • CI/CD and Release: Agent and knowledge-graph CI/CD; automated evaluation gates; versioned prompts, tools, mappings, ontologies, queries, and deployment definitions
  • Testing and Quality: Agent evaluation for accuracy, relevance, groundedness, completeness, hallucination, latency, and cost; benchmark scenarios and gold-answer datasets
  • Observability and Operations: End-to-end tracing across coordinator, agent, tool, semantic, and data layers; Langfuse or equivalent LLM observability; Grafana reporting and model comparisons
  • Security and Governance: Identity-aware retrieval; least-privilege data access; cross-domain guardrails; trace and prompt-data protection; source attribution and complete auditability
  • Tech Lead Expectations: Own orchestration, semantic, and data-foundation design; remain hands-on; create reusable patterns; mentor engineers; drive evaluation and production readiness

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this remote role is $80/hr - $90/hr. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications. This position is eligible for company benefits including participation in medical, dental, and vision insurance, flexible spending or health savings account, and AD&D insurance, employee assistance, participation in a 401k program, and additional voluntary or legally-required benefits.

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