AI Engineer

Insight Global is seeking an AI Engineer to join the AI Engineering team with one of our top financial services clients located in NYC and Dallas, Texas. Our financial services client is seeking a highly hands-on AI Engineer to support and execute a broad set of AI initiatives across the firm. This is a senior individual contributor role focused on building, developing, and operationalizing AI solutions-not an architect-only position. The role is contract-to-hire and requires onsite presence 5 days/week in either NYC or Dallas, Texas. Responsibilities:

Design, develop, and deploy AI/ML solutions across multiple enterprise initiatives

Build and optimize models, pipelines, and AI-driven applications in production environments

Work closely with data, engineering, and business teams to translate AI use cases into executable solutions

Contribute directly to coding, experimentation, model tuning, and deployment (hands-on execution)

Support AI initiatives across risk, operations, analytics, and other business functions

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

15+ years of overall professional experience with strong software engineering foundations

5+ years of hands-on AWS experience, including building and deploying solutions in cloud environments

Extensive experience working hands-on with AI/ML technologies (model development, frameworks, pipelines)

Strong programming experience (Python preferred) and experience working in production systems

Background supporting complex, enterprise-scale initiatives-ideally within financial services

Comfortable working onsite in a fast-paced, highly collaborative environment Prior experience delivering AI solutions in regulated or large financial institutions

Exposure to multiple AI initiatives simultaneously across different business lines