Generative AI Engineer

Location

Charlotte, NC / Dallas, TX/ Phoenix/Chandler, AZ/ San Francisco Bay Area, CA – 3 days onsite per week

12 Months+ extension - W2 contract

• 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science

• Proficiency in Python, PySpark, Tensor Flow, PyTorch, and cloud platforms such as Google Cloud Platform (GCP), Vertex AI, Google ADK, MCP.
• Strong background in GenAI, Agentic workflow, machine learning, deep learning, and statistical analysis evidenced by successful deployment at scale
• Experience in the financial services industry, Commercial Banking a plus
• Familiarity with regulatory and compliance considerations in GenAI/AI model deployment
• Strong communication and presentation skills with the ability to translate complex technical concepts to non-technical stakeholders
• Strong full stack data science skills, hands on experience with ADK, MCP, A2A, O2A. LLM evaluation framework, design and develop LLM guardrails, assertions, controls, and performance monitoring

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.