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Sr. AI Engineer

SpringCube

Full time - Senior Engineer

Healthcare Services & Tech

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 healthcare organization is seeking a Sr. AI Engineer to advance its AI initiatives and drive innovation across engineering teams. The organization focuses on leveraging agentic AI, generative AI, and advanced machine learning solutions to improve healthcare services and operational efficiency. The role provides an opportunity to shape AI strategy while mentoring a team of talented engineers.

Summary
The Sr. AI Engineer will lead high-performing AI engineering teams, providing hands-on technical guidance and mentoring while ensuring the delivery of scalable, robust, and well-architected AI solutions. This role is critical in developing innovative agentic AI frameworks and maintaining engineering excellence across projects.

Responsibilities

  • Provide technical leadership and mentorship to AI Engineers, ensuring adherence to coding standards and architectural best practices
  • Oversee the design and implementation of complex AI agent components, generative AI integrations, and supporting infrastructure
  • Collaborate with Product Owners to refine requirements, estimate efforts, and ensure high-quality delivery of AI features
  • Establish and enforce rigorous code review processes to maintain code quality, security, and maintainability
  • Serve as the primary technical escalation point, troubleshooting complex problems and guiding resolution
  • Actively coach AI Engineers to grow their technical skills and understanding of agentic architectures
  • Evaluate new tools, frameworks, and technologies to enhance team efficiency and capabilities

Qualifications

  • Bachelor’s degree in Computer Science, Technology, or a related field
  • 3–5+ years of hands-on experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn
  • 1+ years of hands-on experience developing agentic solutions, with strong knowledge of cloud platforms (AWS, Azure, Google Cloud) and MLOps tools (Docker, Kubernetes)
  • Proven experience overseeing the technical design and implementation of complex AI agent components
  • Hands-on expertise in designing AI agents using Retrieval Augmented Generation (RAG) architectures and fine-tuning techniques
  • Experience managing performance, scalability, and reliability of AI models in production
  • Excellent communication skills for effective collaboration with technical and non-technical stakeholders
  • Demonstrated experience conducting code reviews, leading knowledge-sharing sessions, and making critical technology decisions

Preferred / Additional Skills

  • Experience in Linux/Unix scripting
  • Experience working with multiple cloud platforms (AWS, GCP, Azure)
  • Solution Architect Associate certifications, preferably in GCP or AWS

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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