Top 12 Lead data scientist Jobs in Fort Worth Tx

Lead AI Engineer
Citi —Irving, TX
- $156,160 - $234,240 a year
- Full-time
- Computer Science
- System design
- Office
- Paid holidays
- Disability insurance
8h
Lead Data Scientist
Vizient, Inc. —Irving, TX
- $117,600 - $206,000 a year
- 7 years
- Computer Science
- Analysis skills
Business Analytics Lead Analyst
Citi —Irving, TX
- $153,200 - $168,558 a year
- Full-time
- Hybrid work
- 5 years
- Office
- SQL
- Paid holidays
- Disability insurance
14d
AI Transformation & Solutions Lead
Accenture —Irving, TX
- $87,400 - $224,600 a year
- Full-time
- Hybrid work
- 5 years
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
9d
Lead Data Analyst
Vistra Corporate Services Company —Irving, TX
- Online Application
- Hybrid work
- 7 years
- Management
- SQL
Lead AI Engineer, Business Operations (Hybrid or Remote)
AFL Telecommunications LLC —Dallas, TX
- Full-time
- Remote
- 7 years
- Computer Science
- System design
- Health insurance
- Dental insurance
AI Dev Lead– LLM & Applied AI Solutions
AIS InfoSource —Dallas-Fort Worth, TX
- Azure
- Computer Science
- Basic math
Lead AI Engineer (ML Ops)
Gartner —Irving, TX
- $116,000 - $170,000 a year
- Email
- Hybrid work
- Azure
- Residential
- Analysis skills
- Employee stock purchase plan
- Health insurance
Digital Software Engineer Lead Analyst
Citi —Irving, TX
- $157,300 - $192,500 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Paid holidays
- Disability insurance
6d
Lead AI/ML Engineer
GameStop —Grapevine, TX
- System design
- Office
- AWS
Quick Apply

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Software Engineer Lead - Data and Automation - Enterprise Payments (Java Springboot, Linux, CI/CD)
PNC Financial Services Group —Farmers Branch, TX
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Lead knowledge sharing through code reviews, technical standards, and design discussions. Bachelor's Degree In Data Science, Statistics, Computer Science,…
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Lead AI Engineer

Citi -
Irving, TX

Apply Now

Job Details

Full-time
$156,160 - $234,240 a year
8 hours ago

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Paid time off
Vision insurance

Qualifications

Software engineering
Enterprise software
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Computational framework
Microservices
Event-driven architecture
Developing data pipelines
Machine learning frameworks

Full Job Description

Lead AI Engineer, SVP (Hybrid)

Role Overview

We are seeking an AI‑first Lead AI Engineer to define, architect, and deliver enterprise‑scale AI solutions for Investment, Corporate, and Commercial Banking.

This role combines deep hands‑on technical leadership with architectural ownership, driving the adoption of LLMs, agentic workflows, and generative AI platforms to improve efficiency, automation, simplification, and risk reduction. The Lead AI Engineer will shape both technical delivery and AI-first engineering culture, partnering closely with multiple technology and business teams.

Key Responsibilities

End‑to‑End AI Leadership: Lead the design, hands‑on implementation, and deployment of scalable agentic AI and generative AI solutions for high‑impact business use cases.
Agentic Architecture: Architect advanced agent‑based systems (perception, reasoning, planning, execution), integrating multiple LLM providers (OpenAI, Anthropic, Google).
Full‑Stack AI Engineering: Build and deliver production‑grade, full‑stack AI applications using modern ML/LLM platforms and AI coding tools (e.g., Devin, GitHub Copilot).
Rapid Value Delivery: Champion MVP‑driven delivery, rapid iteration, hypothesis testing, and experimentation (A/B testing) to achieve fast time‑to‑value.
Evaluation & Optimization: Define rigorous evaluation frameworks and metrics for AI and agent performance, ensuring continuous optimization and alignment with business goals.
Technology Foresight: Proactively evaluate and integrate emerging AI technologies, particularly in agent‑based and autonomous AI systems, while acting as a thought leader and coach.
Technical Leadership & Mentorship: Provide front‑line technical leadership, guide architectural decisions, and mentor engineers across AI, data, and application teams to build an AI‑first engineering culture.
Strategic Domain Alignment: Ensure all AI solutions are grounded in deep banking domain understanding and clearly articulate business and risk impact beyond pure technical implementation.

Qualifications

Programming: Expert‑level proficiency in Python and/or Java (Spring Boot); solid experience with JavaScript/TypeScript (Angular, Node.js).

AI/ML Expertise:

Deep knowledge of AI fundamentals (knowledge representation, automated planning, decision‑making under uncertainty, multi‑agent systems).

Extensive hands‑on experience with LLM platforms (OpenAI, Anthropic, Google), RAG pipelines, MCPs, and agent frameworks (Google ADK).

Demonstrated effectiveness with AI coding tools (Devin, Claude Code, GitHub Copilot, Antigravity).

Strong experience with ML frameworks (TensorFlow, PyTorch) and data science libraries.

Proven ability to design and expose robust, scalable APIs for AI services.

Engineering Excellence: Deep expertise in software engineering best practices, including system design, CI/CD, testing strategies, resiliency, security, and operational stability for AI‑driven platforms.

Architecture & Data: Strong experience designing API‑first, microservices‑based, and event‑driven systems, including AI‑focused data pipelines and lifecycle management.

Platforms: Hands‑on experience with Docker and Kubernetes.

Leadership & Communication: Exceptional ability to articulate complex technical concepts, influence senior stakeholders, and lead high‑impact technical discussions.

Domain Expertise: Strong understanding of banking and regulated financial environments, with the ability to connect AI capabilities to measurable business outcomes.

Nice to Have

Advanced data science expertise (statistical modeling, experimentation).

Demonstrated experience mentoring and scaling AI‑first engineering talent in rapidly evolving toolchains.

Experience:

10+ years of progressive software engineering experience with sustained hands‑on contributions.
3+ years of dedicated experience in AI, LLM‑based systems, and agentic architectures.
Proven success architecting and delivering multiple enterprise‑scale AI solutions into production.

Education:
Bachelor’s or Master’s degree in Computer Science, AI, Robotics, or a related quantitative discipline.

Job Family Group:

Technology

Job Family:

Applications Development

Time Type:

Full time

Primary Location:

Irving Texas United States

Primary Location Full Time Salary Range:

$156,160.00 - $234,240.00

In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

Most Relevant Skills

Please see the requirements listed above.

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

Anticipated Posting Close Date:

Jul 14, 2026

Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

Apply Now

Refine Your Search

lead data scientist jobs in fort worth tx

Lead AI Engineer

Lead Data Scientist

Business Analytics Lead Analyst

AI Transformation & Solutions Lead

Lead Data Analyst

Lead AI Engineer, Business Operations (Hybrid or Remote)

AI Dev Lead– LLM & Applied AI Solutions

Lead AI Engineer (ML Ops)

Digital Software Engineer Lead Analyst

Lead AI/ML Engineer

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