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AI / Knowledge Graph Tech Lead – Python, GCP & RAG

Role overview

Qualifications

  • Advanced Python
  • Deep RAG expertise
  • Advanced SQL and BigQuery
  • 15.00 Years of Experience

Responsibilities

  • Master Coordinator for domain agents and semantic retrieval
  • Own orchestration, semantic, and data-foundation design
  • Create reusable patterns and mentor engineers
  • Drive evaluation and production readiness

Key facts

Hard skills

Other skills

  • Governance
  • Mentorship

About the company

ICONMA logo

ICONMA

Management Consulting

We provide Professional Staffing Services & Project-Based Solutions for a broad range of Fortune 500 organizations. ICONMA is a certified Woman-Owned staffing company and was founded in 2000. ICONMA’s corporate headquarters is in Troy, Michigan, and has 15+ locations worldwide. What makes ICONMA stand out in a fiercely competitive industry? *We provide integrated, full lifecycle services across a broad range of business and technical platforms. *No single company can duplicate our full range of staffing and permanent recruiting services nationwide. *Proven track record of attracting and retaining exceedingly skilled professional workers in a highly competitive market. SERVICES OFFERED Staff Augmentation (Contract, Contract to Hire, Direct Hire, Single Source) Data Analysis Project-Based Services & Solutions Hire Train Deploy Service Model Offshore Staff Augmentation Payroll Services AREAS OF EXPERTISE - Information Technology - Engineering - Business Professional - Accounting/Finance - Admin/Clerical/Call Center - Healthcare/Clinical/Scientific - Marketing/Creative mail linkedin@iconma.com Phone (888) 451-2519 Website http://www.iconma.com

Company details

Company typeLarge
IndustryManagement Consulting
Company size1001 - 5000

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Job description

Our Client, an IT Services and Consultant company, is looking for an AI / Knowledge Graph Tech Lead – Python, GCP & RAG for their Mahwah, NJ/Remote location.
 
Requirements:
  • 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
  • Years of Experience:   15.00 Years of Experience
 
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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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