Lead AI Engineer

  • San Francisco, CA
  • Posted 16 hours ago | Updated 16 hours ago

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

AI
Azure

Job Details

  • Job Title: Lead AI Engineer
  • Position Type: Long-Term Contractual
  • Location: San Francisco, CA

Please check the job description below for your reference:
Overview:
Our client, a leading Asset Management firm in San Francisco, is embarking on its AI journey and seeking an AI Engineer to design and develop intelligent AI agents that enhance business efficiency and decision-making. This is an exciting opportunity to build AI solutions from the ground up and play a pivotal role in shaping the company s AI strategy.
Overview:
Our client, a leading Asset Management firm in San Francisco, is seeking an AI Engineer to design and develop intelligent AI agents that enhance business efficiency and decision-making. This is an exciting opportunity to build AI solutions from the ground up and play a pivotal role in shaping the company s AI strategy.
Responsibilities:

  • Collaborate with business and technical teams to identify and define AI use cases in asset management.

  • Design, build, and deploy AI agents to automate workflows, perform data analysis, and support decision-making.

  • Develop, fine-tune, and integrate LLM-based (Large Language Model) solutions.

  • Work with structured and unstructured financial data to generate insights and predictive analytics.

  • Evaluate and integrate existing AI frameworks, APIs, and tools to support internal initiatives.

  • Contribute to establishing best practices, governance, and scalable AI infrastructure on Azure.

Required Skills:

  • 3+ years of experience in AI/ML development or applied data science.

  • Strong programming skills in Python, with hands-on experience using frameworks such as PyTorch or TensorFlow.

  • Experience working with LLMs, LangChain, OpenAI API, or other AI agent frameworks.

  • Good understanding of APIs, data pipelines, and cloud platforms (preferably Microsoft Azure).

  • Strong analytical and problem-solving mindset with a passion for applying AI to real-world business challenges.

  • Experience in financial services or asset management domains.

  • Knowledge of Natural Language Processing (NLP), Generative AI, or Conversational AI systems.

  • Familiarity with MLOps, model deployment pipelines, and Azure Machine Learning.

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.