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AI Data Engineer – Manager

SpringCube

Full time - Engineering Manager

IT Services & Consulting

United States, Boston - Massachusetts

Published 4 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading professional services organization is at the forefront of transforming the nature of work through advanced AI, machine learning, and data engineering solutions. The company leverages sector-specific insights and cross-domain expertise to help organizations solve complex workforce challenges, align talent strategies with business goals, and drive digital transformation. Its innovation-driven culture empowers teams to design scalable AI solutions that enhance operations and deliver measurable business impact.

Summary
The AI Data Engineer – Manager will lead data architecture and engineering delivery for AI/ML/GenAI solutions, ensuring secure, scalable, and reliable data pipelines. The role blends hands-on technical leadership with delivery management, working closely with data science, ML engineering, and product teams to translate use cases into production-ready solutions while enforcing strong data governance and operational standards.

Responsibilities

  • Lead end-to-end data architecture and engineering delivery for AI/ML/GenAI solutions
  • Design and operationalize data pipelines and modern data foundations to support LLM-powered applications (e.g., Claude, GPT/Codex, Gemini) including RAG, embeddings, and vector search
  • Manage onshore/offshore delivery teams, ensuring consistent engineering standards and measurable outcomes
  • Collaborate with stakeholders to translate business vision into technically feasible implementations
  • Select appropriate technologies and integrate with cloud and on-premises systems
  • Contribute to MLOps and LLMOps for operational deployment and management of AI models
  • Conduct research and develop scalable AI models in machine learning, NLP, and computer vision
  • Build tools for data ingestion, feature engineering, and distributed computing solutions
  • Audit AI tools, pipelines, and practices to ensure continuous improvement
  • Partner with security and risk teams to address ethical AI implementation and compliance
  • Advise leadership on AI trends, business impacts, and implementation best practices

Qualifications

  • Bachelor’s degree in Computer Science, Statistics, Data Science, Information Systems, or related field
  • 6+ years consulting experience leading delivery teams, including onshore/offshore coordination
  • 6+ years experience gathering non-functional requirements and defining application architecture frameworks
  • 5+ years working in AI environments with full system development lifecycle implementation
  • 5+ years translating requirements into client-ready design documents
  • Strong understanding of software application architecture, design, and delivery
  • Experience with AI/ML tools, frameworks, and infrastructure
  • Strong problem-solving, analytical, and stakeholder collaboration skills

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube is a technology recruitment firm and tech-focused career platform. Since 2001, we’ve connected top talent with leading companies across Singapore and Southeast Asia.

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