Associate Director of Generative AI Platform Engineering (Hybrid or Remote)

S&P Global; Princeton (NJ); Remote; USD 175,000 - 220,000; Full time

Job summary

Join a leading financial services company as an AI/ML Engineer, where you'll lead the development of a generative AI platform in a collaborative environment. This role requires strong expertise in AI/ML engineering and comes with comprehensive benefits and competitive salary. Ideal candidates will have a background in computer science and significant experience with AI solutions and front-end technologies.

Benefits

Comprehensive benefits package including health care and retirement planning

Eligible for annual incentive plan

Career advancement and continuous learning opportunities

Qualifications

• 7+ years of hands-on experience in AI/ML engineering.
• Strong knowledge of platform development in large enterprises.
• Experience with full-stack engineering for deep learning and LLM solutions.

Responsibilities

• Lead the design, development, and deployment of a generative AI platform.
• Act as a hands-on developer and architect for AI-driven applications.
• Collaborate with data scientists and engineers for machine learning integration.

Skills

AI/ML engineering

Platform development

Python

Front-end technologies

APIs

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

React

Vue

Angular JS

MLOps tools/frameworks

MLflow

Job description

Employer Industry: Financial Services and Analytics

Why consider this job opportunity:
- Salary up to $220,000
- Eligible for an annual incentive plan
- Comprehensive benefits package including health care, retirement planning, and family-friendly perks
- Opportunity for career advancement and continuous learning
- Work in a collaborative environment with a world-class AI and ML team

What to Expect (Job Responsibilities):
- Lead the design, development, and deployment of a generative AI platform
- Act as a hands-on developer and architect for AI-driven applications
- Collaborate with data scientists and engineers to integrate machine learning models into production systems
- Mentor junior engineers and foster their professional growth
- Maintain documentation and architecture blueprints for platform strategy

What is Required (Qualifications):
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 7+ years of hands-on experience in AI/ML engineering
- Strong knowledge of platform development and deployment in large enterprises
- Significant experience with front-end technologies (React, Vue, Angular JS) and APIs
- Proficiency in Python and multiple programming languages relevant to cloud development

How to Stand Out (Preferred Qualifications):
- Experience with full-stack engineering for deep learning and LLM solutions
- Contributions to GitHub and open-source initiatives
- Familiarity with MLOps tools/frameworks (e.g., MLflow)
- Knowledge of foundational Generative AI principles
- Experience in managing scalable platform and application infrastructure for AI products

#FinancialServices #AI #MachineLearning #CareerOpportunity #CompetitivePay #ContinuousLearning

"We prioritize candidate privacy and champion equal-opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer."