Senior AI/ML Engineer

2 days ago

New York, NY, United States Highbridge Consulting LLC Full time

Our client is a Fortune 500 financial and payments technology company, and leads the industry in innovation, scale, and service.
They are now looking to add to their team and are looking to hire a "Senior AI/ML Engineer - Agentic AI Development". This role will be based out of New York City, NY is 100% Remote.

Role Overview: Support customer in developing and deploying an agentic AI solution to identify, extract, and analyze events from licensed content for the top 2000 companies.

Key Responsibilities:

  • Design and implement agentic AI workflows using Google ADK framework with custom wrappers
  • Develop event identification systems to deduplicate content from multiple sources
  • Build event extraction capabilities to derive facts from news articles (4-5 events per article)
  • Create event exploitation pipelines that store data in graph databases as event timelines with references
  • Implement competitive inference analysis capabilities for analyst and consultant users
  • Collaborate with existing customer product development team (Angular/.NET background) transitioning to Python-based polyglot architecture
  • Provide context engineering expertise for processing massive amounts of licensed content
  • Support migration path toward AWS AgentCore deployment
  • Required Skills:
  • dvanced Python development experience
  • Hands-on experience with Google ADK (Agent Development Kit)
  • Strong background in agentic AI architectures and multi-agent systems
  • Experience with graph databases (Neo4j, Neptune, or similar)
  • Context engineering for large-scale AI applications
  • Polyglot programming capabilities
  • Understanding of AWS AI/ML services (Bedrock, SageMaker, AgentCore)
  • Preferred Qualifications:
  • Experience processing high-volume data pipelines (millions of records daily)
  • Knowledge of event extraction and NLP techniques
  • Familiarity with competitive intelligence workflows
  • Experience with cloud-native AI deployments

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