Generative AI Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Generative Artificial Intelligence (AI)
Financial Services
Productivity
Systems Architecture
Knowledge Base
Migration
Cloud Computing
Incident Management
Agile
Scrum
Microsoft Azure
DevOps
Git
Continuous Integration
Continuous Delivery
Financial Planning
Budget
Modeling
Management
Vendor Relationships
SOW
Risk Management
Effective Communication
Conflict Resolution
Problem Solving
Collaboration
Critical Thinking
Team Building
Presentations
Technical Drafting
Communication
Python
SQL
Computer Science
Data Science
Data Analysis
Statistics
Mathematics
Machine Learning (ML)
Banking
Finance
Artificial Intelligence

Job Details

Hiring: W2 Candidates Only



Visa: Open to any visa type with valid work authorization in the USA



Level: Mid to Lead positions

Qualifications:

Bachelor's degree in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.

Experience in leading, designing, implementing, and managing large-scale AI and machine learning solutions, including production-grade Generative-AI applications preferably, in a large multi-function financial services organization.

Strong technical skills in AI technologies, including experience with Azure and OpenAI familiarity with building and operationalizing AI platforms equipped with Model Garden and Control Plane, and Agentic AI.

Experience in executing on strategic AI initiatives and aligning foundational AI capabilities with the organization's overall strategic goals and transformation objectives.

Experience with delivering AI solutions that accelerate productivity.

Extensive experience with system architecture in a service-oriented and enterprise service business environment, focusing on designing and implementing scalable, reliable, and efficient systems.

Extensive experience in building a Knowledge Base for AI, cloud migration and engineering cloud centric environments.

Experience supporting AI Operations, observability and incident management.

Extensive experience with Agile practices including Scrum, Azure DevOps, Git and CI/CD.

Expert knowledge of project lifecycles and management methodologies.

Expert knowledge of engineering principles, practices, and theories, and methods to identify and solve the highest complex problems and perform sophisticated analyses.

Expert knowledge and understanding of the end-to-end IT process, including architecture, design & engineering, implementation, and operations, ensuring seamless integration and optimal delivery across all stages.

Experience in financial planning and analysis, encompassing comprehensive cost allocation, continuous budget oversight, and strategic scenario modeling.

Proven expertise in managing vendor relationships for Statement of Work (SOW) execution, developing risk mitigation strategies, and maintaining effective communication channels to ensure successful project outcomes.

Expert ability to communicate effectively about AI with a broad range of audiences, from sophisticated technical resources to those with little or no technical background.

Expert problem solving, collaboration, critical thinking, team building, and presentation skills.

Expert skill in applying innovative approaches to solving technical design issues.

Expert verbal, interpersonal and written communication skills.

Solid experience with Python and SQL required.



Desired:

Master's in Computer Science, Data Science, Data Analytics, Engineering, Statistics, Mathematics or related technical field.

Experience in advanced AI/ML technologies.

Experience building and supporting Enterprise grade APIs.

Expert knowledge of banking/financial industry trends, products, and services.

Experience working in an AI Center for Enablement.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.