Diamond Layer Tech Lead Hybrid

Hybrid in Mahwah, NJ, US • Posted 4 hours ago • Updated 4 hours ago
Contract W2
12 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Gap Analysis
  • Cloud Computing
  • Continuous Delivery
  • Continuous Integration
  • Adapter
  • Artificial Intelligence
  • Orchestration
  • Google Cloud Platform
  • Mentorship
  • Modeling
  • Ontologies
  • FOCUS
  • Resource Description Framework
  • Semantics
  • Python
  • Reporting
  • Routing
  • SPARQL
  • SQL
  • GCS
  • Good Clinical Practice
  • Grafana
  • Promotions
  • Testing
  • Workflow
  • Assembly
  • Data Engineering
  • Data Security
  • Evaluation
  • API
  • Diamond Layer Tech Lead
  • Diamond Layer

Summary

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: Google Cloud Platform, 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10221428
  • Position Id: 1823
  • Posted 4 hours ago
Contact the job poster
Reshma Sasikumar

Reshma Sasikumar

Recruiter! @ Tektree Systems Inc.
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