Senior Engineer – Gen Ai /agentic Ai (us)

TD Ameritrade

Mount Laurel, New Jersey, United States of America
Base: $123,680 - $200,200 usd; bonus/equity: eligi...
Onsite
10+ years enterprise software experience
2+ years python for ai applications
Expertise in langchain and langgraph frameworks
TD Ameritrade is seeking a Senior Engineer specializing in Generative AI and Agentic AI in Mount Laurel, New Jersey. The role involves providing technical leadership and expertise in developing advanced AI solutions for the financial sector while ensuring alignment with industry standards

Job Summary

  • This role provides deep technical leadership and sets direction for developing Gen AI and Agentic AI solutions at TD Ameritrade.
  • The position requires advanced expertise in deploying enterprise-grade AI applications using Python, LLMs, and RAG architectures on Azure.
  • TD offers a competitive compensation package including base salary, variable incentives, and comprehensive benefits for health and well-being.

Matching Summary

Match Score: 85

TD Ameritrade is seeking a Senior Engineer specializing in Generative AI and Agentic AI in Mount Laurel, New Jersey. The role involves providing technical leadership and expertise in developing advanced AI solutions for the financial sector while ensuring alignment with industry standards.

Salary

Base: $123,680 - $200,200 USD; Bonus/Equity: Eligible for cash and/or equity incentive awards; Benefits: Health, retirement, PTO, and banking discounts included

Skills & Requirements

Must-have

  • 10+ years enterprise software experience
  • 2+ years Python for AI applications
  • Expertise in LangChain and LangGraph frameworks
  • Hands-on Azure OpenAI and RAG implementation
  • Strong prompt engineering and model fine-tuning skills

Nice-to-have

  • Experience with GraphRAG and AutoGen
  • Knowledge of Model Context Protocol (MCP)
  • Understanding of cybersecurity threat modeling for AI
  • Background in financial institution technology
  • Ability to provide technical leadership to senior leaders

Key Requirements

  • Bachelor's or Graduate degree in Computer Science or Engineering
  • 10+ years of relevant engineering experience
  • US work authorization required (implied by location and US company)

Work Rights

Not specified

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