Lead Engineer Data & AI

Motion Recruitment
Boston, MA, United States
28 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Computing Platforms Microsoft Azure Cyber Security Information Systems Data Architecture Python (Programming Language) Standard Sql Enterprise Data Management Large Language Models Generative AI
+2 more
Information Technology Data Analytics

Job description

Located in Downtown Boston, this company invests in high-growth sectors like AI, cybersecurity, data analytics, and more while partnering with founders to scale companies through their life cycle, from the growth stage to public listing. The company leverages its global portfolio to create a network effect in marketing and IT, giving portfolio firms access to shared resources and insights. This is not just investing in tech companies, it is building and operating a tech infrastructure and ecosystem that supports both its own investment processes and the growth of the portfolio., * 35% Enterprise Data Architecture & Strategy

  • 25% Pipeline & Platform Design
  • 15% ML & AI Integration
  • 15% Cross Functional Leadership & Collaboration
  • 10% Operational Execution

Daily Responsibilities

  • 60% Hands On
  • 25% Team Collaboration
  • 15% Management Duties

Requirements

  • Bachelor’s degree in engineering, information systems, computer science, or a related field.
  • Experience leading BI modernization efforts, KPI harmonization, and semantic standardization.
  • Executive influence and technical culture leadership
  • Enterprise data platform strategy & governance at scale
  • Strong and experienced with AI-enabled systems & intelligent automation
  • Proficient in SQL and Python, with a good understanding of data architecture, workflow technologies.

Desired Skills & Experience

  • Generative AI Integration, applying LLMs for automated documentation
  • Knowledge of cloud platforms such as AWS, Azure, or GCP

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