Principal AI Strategist

Qualifications

• Demonstrated success leading digital transformations and change management in matrixed environments
• Extensive experience in process engineering for complex operational workflows
• Proven track record of taking AI initiatives from business case to full production
• Expert-level technical knowledge of LLM architectures and RAG (Retrieval-Augmented Generation)
• Deep understanding of financial and banking compliance (FCRA, GLBA) and AI governance
• Ability to manage complex data pipelines and multi-system integrations
• Strong background in global financial regulations and privacy frameworks

Responsibilities

• This senior role requires a visionary who can navigate strict regulatory environments while delivering bold, data-driven results
• Bridge the gap between operations and technology, designing cloud-native, AI-driven solutions that replace legacy limitations with high-efficiency workflows
• Redesign regulated operational processes using a results-oriented methodology to identify and capture transformation opportunities
• Own the end-to-end lifecycle of high-priority AI projects, ensuring technical feasibility and successful deployment
• Act as the lead technical liaison between Operations, Tech, Data, and Compliance to ensure scalable, high-performing solutions
• Define and track rigorous KPIs, including model accuracy, cost, and operational uplift to prove business value
• Integrate Responsible AI protocols into every deployment, focusing on rigorous compliance and financial services standards

Full Description

Our client in the Fintech industry is looking for a principal-level AI Strategist to join their team.

This senior role requires a visionary who can navigate strict regulatory environments while delivering bold, data-driven results.

Location: Hybrid in Atlanta, GA.

Candidates must be local to the metro Atlanta area.

Here is what you will be doing:

• Bridge the gap between operations and technology, designing cloud-native, AI-driven solutions that replace legacy limitations with high-efficiency workflows

• Redesign regulated operational processes using a results-oriented methodology to identify and capture transformation opportunities.

• Own the end-to-end lifecycle of high-priority AI projects, ensuring technical feasibility and successful deployment.

• Act as the lead technical liaison between Operations, Tech, Data, and Compliance to ensure scalable, high-performing solutions.

• Define and track rigorous KPIs, including model accuracy, cost, and operational uplift to prove business value.

• Integrate Responsible AI protocols into every deployment, focusing on rigorous compliance and financial services standards.

Here is what our ideal candidate has:

• Demonstrated success leading digital transformations and change management in matrixed environments.

Extensive experience in process engineering for complex operational workflows.

• Proven track record of taking AI initiatives from business case to full production.

• Expert-level technical knowledge of LLM architectures and RAG (Retrieval-Augmented Generation).

• Strong understanding of Machine Learning Operations, CI/CD for ML, and cloud-based AI environments (GCP or AWS preferred).

• Deep understanding of financial and banking compliance (FCRA, GLBA) and AI governance.

• Ability to manage complex data pipelines and multi-system integrations.

• Strong background in global financial regulations and privacy frameworks.

• Bachelor’s or Master’s degree in a technical or financial field; MBA or equivalent strategic experience is a plus.