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Director Python Ai Jobs (NOW HIRING)

... AI's platform . * Own data warehouse and data lake architecture for the engagement, including ... Direct experience in financial services, ideally capital markets, asset management, or securities ...

Senior Python Developer

New York, NY · On-site

$121K - $181K/yr

Apply AI and GenAI capabilities to modernize workflows, automate analysis, and unlock new insights ... Has the ability to operate with a limited level of direct supervision. * Can exercise independence ...

We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ... direct impact on mission success. Engineering work will take place at customer sites up to 5 days ...

We bring experience in building, integrating and deploying AI/ML solutions using Google TensorFlow ... direct impact on mission success. Engineering work will take place at customer sites up to 5 days ...

Director of Artificial Intelligence & Machine Learning About Us: We are seeking a visionary ... Strong programming skills in languages such as Python, R, or Java. Experience with popular AI & ML ...

Director of Artificial Intelligence & Machine Learning About Us: We are seeking a visionary ... Strong programming skills in languages such as Python, R, or Java. Experience with popular AI & ML ...

Atlanta, GA (Hybrid - onsite required as directed) Job Type: Contract | Full-Time Start Date ... Java 17+, Python * AI/ML: Machine Learning, NLP, Deep Learning Required Qualifications * 10+ years ...

... risk analysis, develop AI-enabled workflows, and enhance reporting systems & processes ... One with the HM and second and/or third with 2 Risk Directors -- ALL interviews will be held ONSITE ...

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How much do director python ai jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for director python ai in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Director Python Ai vs Data Scientist?

AspectDirector Python AiData Scientist
Required CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentLeadership roles, strategic planning, team managementData analysis, model development, research
Industry UsageOversees AI projects, sets technical directionBuilds models, analyzes data, reports findings

The main difference is that a Director Python Ai focuses on leading AI initiatives and managing teams, while a Data Scientist primarily conducts data analysis and develops models. Both roles require strong Python and AI knowledge, but the Director role emphasizes strategic oversight and leadership.

What cities are hiring for Director Python Ai jobs? Cities with the most Director Python Ai job openings:
What are the most commonly searched types of Python Ai jobs? The most popular types of Python Ai jobs are:
What states have the most Director Python Ai jobs? States with the most job openings for Director Python Ai jobs include:

Python Data Engineer

SANS

Philadelphia, PA • On-site

Other

Posted 5 days ago


Job description


Client is placing a senior data integration consultant embedded at a financial services client. The consultant works onsite as part of the client's data engineering effort, integrating the client's systems and data sources with Client's Declarative Agentic Framework (DAF) and connected products.
This is delivery work, not advisory. The consultant owns the data pipelines, warehouse structures, and integration points that the deployment depends on, and is accountable for data quality and reliability in production.
What the Consultant Will Do

  • Design and build data integration pipelines connecting client source systems (reference data, pricing, transaction, custody, or similar) to client's AI's platform .
  • Own data warehouse and data lake architecture for the engagement, including ingestion, transformation, and data quality rules.
  • Work hands-on with ETL tooling (Informatica, Snowflake, or equivalent) and cloud data platforms (AWS or Azure).
  • Write production-grade Python for data processing and integration between on-prem and cloud systems.
  • Define data reconciliation and data lineage processes so the client can trust what the pipelines produce.
  • Coordinate with the client's data engineering, ops, and compliance stakeholders, and with client's AI's deployment team.
  • Document architecture decisions and integration patterns so the work is defensible and repeatable across future deployments.

Required Background

  • 10+ years in enterprise data architecture, data engineering, or solution architecture roles.
  • Direct experience in financial services, ideally capital markets, asset management, or securities operations. Candidate should recognize terms like reference data, corporate actions, and reconciliation without explanation.
  • Hands-on ETL and data warehousing expertise: Informatica, Snowflake , or comparable enterprise-grade tooling .
  • Production Python for data pipelines and integration work , not scripting on the side.
  • Experience with REST APIs, message queues (Kafka or similar), and containerized deployments (Docker).
  • Track record owning delivery end to end, from data analysis and architecture through production support, ideally with distributed or offshore team coordination.
  • Comfortable being the senior technical presence in the room with client stakeholders from day one. No ramp-up period.