

Agile Resources, Inc.
Principal AI Strategist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal AI Strategist in the Fintech industry, hybrid in Atlanta, GA, with a contract length of unspecified duration. It requires expertise in AI, cloud environments (GCP/AWS), financial compliance, and digital transformation. Pay rate is unspecified.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 4, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Atlanta, GA
-
π§ - Skills detailed
#Data Pipeline #Compliance #GCP (Google Cloud Platform) #ML (Machine Learning) #Deployment #ML Ops (Machine Learning Operations) #AWS (Amazon Web Services) #Scala #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Cloud
Role 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:
β’ Bridge the gap between operations and technology, designing cloud-native, AI-driven solutions that replace legacy limitations with high-efficiency workflows
β’ Redesign regulated operational processes using a results-oriented methodology to identify and capture transformation opportunities.
β’ Own the end-to-end lifecycle of high-priority AI projects, ensuring technical feasibility and successful deployment.
β’ Act as the lead technical liaison between Operations, Tech, Data, and Compliance to ensure scalable, high-performing solutions.
β’ Define and track rigorous KPIs, including model accuracy, cost, and operational uplift to prove business value.
β’ Integrate Responsible AI protocols into every deployment, focusing on rigorous compliance and financial services standards.
Here is what our ideal candidate has:
β’ Demonstrated success leading digital transformations and change management in matrixed environments. Extensive experience in process engineering for complex operational workflows.
β’ Proven track record of taking AI initiatives from business case to full production.
β’ Expert-level technical knowledge of LLM architectures and RAG (Retrieval-Augmented Generation).
β’ Strong understanding of Machine Learning Operations, CI/CD for ML, and cloud-based AI environments (GCP or AWS preferred).
β’ Deep understanding of financial and banking compliance (FCRA, GLBA) and AI governance.
β’ Ability to manage complex data pipelines and multi-system integrations.
β’ Strong background in global financial regulations and privacy frameworks.
β’ Bachelorβs or Masterβs degree in a technical or financial field; MBA or equivalent strategic experience is a plus.
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:
β’ Bridge the gap between operations and technology, designing cloud-native, AI-driven solutions that replace legacy limitations with high-efficiency workflows
β’ Redesign regulated operational processes using a results-oriented methodology to identify and capture transformation opportunities.
β’ Own the end-to-end lifecycle of high-priority AI projects, ensuring technical feasibility and successful deployment.
β’ Act as the lead technical liaison between Operations, Tech, Data, and Compliance to ensure scalable, high-performing solutions.
β’ Define and track rigorous KPIs, including model accuracy, cost, and operational uplift to prove business value.
β’ Integrate Responsible AI protocols into every deployment, focusing on rigorous compliance and financial services standards.
Here is what our ideal candidate has:
β’ Demonstrated success leading digital transformations and change management in matrixed environments. Extensive experience in process engineering for complex operational workflows.
β’ Proven track record of taking AI initiatives from business case to full production.
β’ Expert-level technical knowledge of LLM architectures and RAG (Retrieval-Augmented Generation).
β’ Strong understanding of Machine Learning Operations, CI/CD for ML, and cloud-based AI environments (GCP or AWS preferred).
β’ Deep understanding of financial and banking compliance (FCRA, GLBA) and AI governance.
β’ Ability to manage complex data pipelines and multi-system integrations.
β’ Strong background in global financial regulations and privacy frameworks.
β’ Bachelorβs or Masterβs degree in a technical or financial field; MBA or equivalent strategic experience is a plus.





