Generative AI Engineer

Hybrid in Dallas, TX, US • Posted 23 hours ago • Updated 23 hours ago
Contract W2
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Artificial Intelligence
  • Auditing
  • Generative Artificial Intelligence (AI)
  • Impact Analysis
  • Management
  • Named-Entity Recognition (NER)
  • Orchestration
  • Real-time
  • Reasoning
  • Regulatory Compliance
  • Scheduling
  • Semantics
  • Unstructured Data
  • Use Cases
  • Workflow

Summary

Build a knowledge graph capability allowing BCMs to reference associated risks, issues, controls etc during Issue Intake, (plus other potential KG use cases)
Description:

  • Build an AIdriven knowledge graph capability that enables BCMs to automatically Client, reason over, and reference related risks, issues, controls, and policies during Issue Intake
  • Leverage the monitoring platform s AI orchestration, prompt management, observability, and governance capabilities to power intelligent context enrichment and decision support

Deliverables:

  • AIDriven Knowledge Graph Model representing risks, issues, controls, policies, and relationships with semantic and contextual enrichment
  • AIBased Entity Extraction & Linking leveraging GenAI to identify, classify, and relate entities from unstructured Issue Intake content
  • Contextual AI Reasoning for Issue Intake enabling realtime recommendations, relationship discovery, and impact analysis using KGaugmented prompts
  • KGAugmented Prompt Framework reusing existing prompt templates, prompt chaining, and prompt versioning to incorporate knowledge graph context
  • Orchestrated AI Workflows leveraging existing scheduling, execution controls, and observability for KG population and inference

Governance, Audit & Observability capturing AI decisions, entity relationships, prompt versions, and lineage for BCM compliance and control assurance.

Overall we need:
Experienced AI/ML Engineer with a strong foundation in knowledge graph engineering and generative AI, Agentic AI to design, build, and scale intelligent data pipelines that transform largescale unstructured data into enterprisegrade Knowledge Graphs

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: SANS2
  • Position Id: 8962015
  • Posted 23 hours ago
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