VP AI Innovation & Solutions Engineering

Goldman Sachs

Quick summary

Work type
On-site
Location
New York, NY
Posted
1 day ago
Nearby
99+ roles within 25 mi

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How this pay compares to similar roles

Similar $205k
$154k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $163,683–$246,150.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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At a glance

TL;DR · VP AI Innovation & Solutions Engineering

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The AI Innovation and Solutions (AIS) team at Goldman Sachs seeks an experienced AI Application Engineer to join their fast-paced startup-like environment. This hands-on role involves designing, building, and deploying end-to-end cloud-native AI applications that integrate advanced AI/ML solutions to drive business value. You will lead rapid prototyping and application development using cloud-native services like serverless computing and containerization, while also collaborating with business teams to translate complex requirements into robust technical specifications. Key responsibilities include implementing scalable data models, ensuring seamless integration with existing systems, and facilitating knowledge transfer through comprehensive documentation and training. The ideal candidate has 9+ years of software engineering experience, proficiency in Python or similar languages, expertise in AI/ML frameworks like TensorFlow, and extensive knowledge of cloud platforms such as AWS, Azure, and GCP.

Skills

Python Java Go TensorFlow PyTorch AWS Azure GCP Kubernetes Docker CI/CD MLOps DevOps Prometheus Grafana PostgreSQL NoSQL GraphDB LLMs Prompt Engineering API Integration Agentic Frameworks MCP Protocol

What you'll do

  • Lead end-to-end development of cloud-native AI applications using advanced ML models.
  • Translate complex business needs into robust cloud-optimized application architectures.
  • Implement scalable, maintainable cloud-native AI solutions following best practices.
  • Facilitate knowledge transfer through documentation and training for receiving teams.
  • Drive continuous innovation by evaluating new AI technologies and tools.

What we're looking for

  • 9+ years of hands-on software engineering experience in building robust applications.
  • Strong proficiency in Python, Java, or Go, with AI/ML frameworks like TensorFlow and PyTorch.
  • Extensive experience deploying end-to-end cloud-native AI applications on AWS, Azure, GCP.
  • Proven ability to translate complex business requirements into scalable data models and technical specs.
  • Expertise in DevOps/MLOps practices for automated deployment, monitoring, and lifecycle management.
  • Excellent communication skills to articulate technical concepts to both technical and non-technical stakeholders.
  • Strong collaboration and mentoring skills, with experience leading cross-functional projects.

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