AI Tech Lead: Databricks & Generative AI on AWS Bedrock

Motion Recruitment Partners LLC

Chicago, Northern (IL, KY)

Hybrid

USD 170,000 - 210,000

Full time

12 days ago
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Benefits offered by this job

Bonus Eligible
Medical, Dental, and Vision Insurance
Professional Development Opportunities
Flexible Work Environment

Job summary

Motion Recruitment Partners LLC is seeking an experienced AI Tech Lead to drive next‑gen enterprise AI solutions, working with cutting‑edge technologies including Databricks, Generative AI, LLM orchestration frameworks, MLOps platforms, and cloud‑based AI services.

This hands‑on role combines architecture influence, mentoring, and leadership, shaping AI strategy while delivering scalable AI products for major clients in a collaborative environment that values innovation and autonomy.

Qualifications

  • 5+ years of AI/ML or data engineering experience.
  • Production experience designing and deploying AI/ML systems.
  • Strong Python and SQL development skills.
  • Experience with cloud environments (AWS, Azure).
  • Bachelor's degree or equivalent professional experience.

Responsibilities

  • Design and implement Generative AI & LLM architectures for enterprise solutions.
  • Architect and optimize Databricks, MLOps pipelines and deployments.
  • Develop data pipelines and cloud services to support AI workloads.
  • Collaborate with analytics teams to deliver BI insights and dashboards.

Skills

AI/ML engineering
Hands-on leadership
Python & SQL
Cloud platforms/AWS
Stakeholder management
Communication

Education

Bachelor's degree or equivalent
Master's degree (preferred)

Tools

Databricks
Unity Catalog
LangChain
LangGraph
Semantic Kernel
MLOps platforms
BI tools (Tableau/Power BI/Domo)
AWS Bedrock

Job description

Motion Recruitment Partners LLC is seeking an experienced AI Tech Lead to drive next‑gen enterprise AI solutions, working with cutting‑edge technologies including Databricks, Generative AI, LLM orchestration frameworks, MLOps platforms, and cloud‑based AI services.

This hands‑on role combines architecture influence, mentoring, and leadership, shaping AI strategy while delivering scalable AI products for major clients in a collaborative environment that values innovation and autonomy.

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