Sr. Manager, Full-Stack AI Engineering (Remote from Houston or Austin TX)

Applicants must be legally authorized to work in the United States at the time of hire and must not require employer sponsorship now or in the future. This position is not eligible for employment visa sponsorship and the company will not assume sponsorship obligations for existing visa holders.

Living Our Values
All associates are guided by Our Values. Our Values are the unifying foundation of our companies. We strive to ensure that every decision we make and every action we take demonstrates Our Values. We believe that putting Our Values into practice creates lasting benefits for all of our associates shareholders and the communities in which we live.

Why Join Us

• Career Growth: Advance your career with opportunities for leadership and personal development.
• Culture of Excellence: Be part of a supportive team that values your input and encourages innovation.
• Competitive Benefits: Enjoy a comprehensive benefits package that looks after both your professional and personal needs.

Total Rewards
Our Total Rewards package underscores our commitment to recognizing your contributions. We offer a competitive and fair compensation structure that includes base pay and performance-based rewards. Compensation is based on skill set experience qualifications and job-related requirements. Our comprehensive benefits package includes medical dental and vision insurance wellness programs retirement plans and generous paid leave. Discover more about what we offer by visiting our Benefits page.

A Day In The Life
The Sr. Manager Full-Stack AI Engineering a technical engineering manager leads a team of Full-Stack AI Engineers that design and build enterprise-grade applications that operationalize analytical models/engines machine learning models/systems Gen AI solutions from data integration pipelines backend APIs optimization engine AI Agents to front-end and AI-powered web application. This role stays hands-on directly contributing to software engineering technology stack system design pattern development & deployment playbooks and engineering work on active projects. The Sr. Manager reports directly to the Director Data Science and partners closely with product owners data engineers and AI scientists on various AI/analytical oriented projects. People management responsibilities include hiring coaching performance management and setting engineering standards across the team.

As a Sr Mgr Full-Stack AI Eng you will:

• Team Leadership & People Management Directly manage a team of Full-Stack AI Engineers across multiple concurrent project pods.
• Conduct regular 1:1s provide ongoing coaching and feedback set clear performance expectations and lead formal performance reviews.
• Build a high-performing accountable team culture that takes pride in quality and delivery.
• Hands-On Engineering
  • Actively contribute as a Full-Stack AI Engineer on project work alongside the team.
  • Design end-to-end architecture spanning frontend backend and data layers.
  • Design and build data pipelines backend APIs AI-powered features and front-end applications using the same stack and standards expected of the team. Maintain technical depth across the stack to provide credible guidance conduct meaningful code reviews architecture review and set a high bar for engineering quality through example.
• Engineering Standards & Quality
  • Define and enforce engineering standards across the team covering code quality testing practices security documentation.
  • Conduct or oversee solution architecture code reviews and documentation reviews on high-impact work.
  • Stay current on AI tooling advancements and share best practices across the team.
  • Ensure that AI-generated code meets the same quality bar as hand-authored code.
  • Champion the effective and responsible use of AI coding tools across the team. Develop and formulate spec-driven AI coding practice with responsible use of AI coding tools (Claude Code Codex Augment Code etc.).
  • Evaluate new tools and practices establish team-wide norms for AI-assisted development and ensure engineers are using these tools in ways that increase quality and delivery confidence not just speed.
• Technical Guidance & Architecture
  • Provide hands-on technical guidance to engineers on solution design full-stack architecture AI and LLM integration patterns and Databricks platform usage. Participate in architecture reviews and contribute to key technical decisions. Remain close enough to the work to assess complexity quality and risk.
• Hiring & Talent Development
  • Partner with the Director of Data Science and HR to define hiring needs assess candidates and define learning path of each team member to grow the team.
  • Develop engineers through structured feedback stretch assignments and learning opportunities.
  • Build a team with complementary strengths across cloud engineering including frontend backend data integration DevOps/InfraOps ML system integration and AI tooling.
• Stakeholder Partnership
  • Work closely with product owners data engineers AI scientists and the Director of Data Science to align on engineering priorities and delivery. Communicate team capacity and technical constraints clearly.
  • Represent the engineering teams perspective in cross-functional planning discussions.
  • Process & Operational Excellence Establish and continuously improve the teams engineering processes: sprint cadences code review workflows support processes and knowledge sharing. Identify systemic inefficiencies and drive improvements that make the team more effective over time.

What We Need From You

• Bachelors Degree Computer Science Software Engineering Information Systems or a related technical field Req
• 10 years Software engineering experience with a strong full-stack background Required
• 5 years of experience leading or managing software engineering teams Required
• Demonstrated ability to hire develop and retain engineering talent Required
• Experience setting and enforcing engineering standards across a team (code review testing documentation security) Required
• Experience delivering AI or data-intensive applications in a production environment Required
• Hands-on experience engineering a development workflow using AI coding tools (Claude Code Codex Augment Code or equivalent) Required
• Experience with full-stack web development (frontend frameworks such as React or Angular; Python-based backends such as FastAPI Django or Flask) Required
• Experience managing delivery across multiple concurrent projects or workstreams Required
• Experience with CI/CD cloud-native deployments or infrastructure-as-code (AWS preferred) Required
• Experience integrating LLMs RAG pipelines or agentic AI frameworks into production applications Preferred
• Experience with Databricks or Lakehouse architectures Preferred
• Experience working in agile/scrum delivery models with cross-functional teams including data scientists and product owners Preferred
• Technical credibility: depth sufficient to assess code quality architectural decisions and engineering complexity without being a bottleneck.
• People leadership: ability to coach develop and hold engineers accountable in a way that builds trust and improves performance over time.
• Delivery ownership: takes accountability for team output proactively manages risks and communicates status clearly to stakeholders.
• AI tooling judgment understands both the capabilities and limitations of AI coding tools and can set meaningful standards for their use.
• Strong cross-functional collaboration: comfortable working alongside product owners data engineers AI scientists and business stakeholders.
• Ability to operate in a fast-moving environment where priorities shift and the tooling landscape evolves rapidly.
• Clear and direct communicator: able to translate technical constraints into language that non-technical stakeholders can act on.
• Process pragmatism improves team processes where it matters avoids overhead where it doesnt.

Physical and Environmental RequirementsThe physical requirements described here are representative of those that must be met by an associate to successfully perform the essential functions of the job. While performing the duties of the job the associate is required on a daily basis to analyze and interpret data communicate and remain in a stationary position for a significant amount of the work day and frequently access input and retrieve information from the computer and other office productivity devices. The associate is regularly required to move about the office and around the corporate campus. The associate must frequently move up to 10 pounds and occasionally move up to 25 pounds.

Travel Requirements
20%-30%: The position is open to in-office and remote work in Houston or Austin. If remote (>50 miles from office) it is expected that the associate will be in office at least 4 days a month. This may vary based upon project meetings and events.

Join Us
The Friedkin Group and its affiliates are committed to ensuring equal employment opportunities including providing reasonable accommodations to individuals with disabilities. If you have a disability and would like to request an accommodation please contact us at We celebrate diversity and are committed to creating an inclusive environment for all associates.

We are seeking candidates legally authorized to work in the United States without Sponsorship.

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