Senior AI Solutions Architect: LLMs & Agentic Systems

Fractal Analytics

New York (NY)

On-site

USD 110,000 - 140,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability plans
11 paid holidays
12 weeks of Parental Leave
“free time” PTO policy

Job summary

Fractal Analytics is seeking a Senior Data Scientist to lead end-to-end development, deployment, and ongoing maintenance of production-grade AI systems for census automation.

This role combines agentic AI design, LLM engineering, and scalable automation built with Python and AWS, supported by CI/CD practices. Location is New York, onsite, with a discretionary bonus potential and comprehensive health benefits.

Qualifications

  • Proven experience leading production AI solutions.
  • Expertise in agentic AI systems and orchestration frameworks.
  • Hands-on experience with LLMs, prompt engineering, evaluation, and monitoring.
  • Proficiency in Python development.
  • Experience with AWS cloud services.
  • Strong understanding of CI/CD and DevOps practices.

Responsibilities

  • Lead end-to-end development, deployment, and maintenance of production-grade AI solutions.
  • Design and implement agentic AI systems, including tool integrations and multi-step reasoning workflows.
  • Develop and optimize solutions using Large Language Models (LLMs), including prompt engineering and observability.
  • Build scalable applications and automation workflows using Python and AWS services.
  • Establish and maintain CI/CD pipelines to support reliable deployment and continuous improvement of AI solutions.

Skills

Tech leadership
Agentic AI
LLMs
Python
AWS
CI/CD
Orchestration

Tools

CI/CD pipelines
Orchestration frameworks

Job description

Fractal Analytics is seeking a Senior Data Scientist to lead end-to-end development, deployment, and ongoing maintenance of production-grade AI systems for census automation.

This role combines agentic AI design, LLM engineering, and scalable automation built with Python and AWS, supported by CI/CD practices. Location is New York, onsite, with a discretionary bonus potential and comprehensive health benefits.

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