Role Name

Lead Engineer - Data Engg & AI

Experience

10+ years

Location

Dallas

Summary

Lead the design and implementation of data engineering and AI solutions for a SOW-driven engagement. This role partners with data scientists, software engineers, and business stakeholders to architect scalable systems, deliver advanced AI/ML capabilities, and keep execution on track. The position also owns technical quality, risk management, and delivery coordination across the team.

Key Responsibilities

- Define architecture and design for software, systems, and data solutions

- Architect and implement advanced AI/ML models and agentic AI solutions

- Coordinate with stakeholders, data scientists, software engineers, and business teams

- Manage timelines, resources, backlog prioritization, and risk mitigation

- Conduct code reviews and enforce quality standards

- Evaluate new tools, techniques, and approaches to improve delivery

- Monitor progress, review deliverables, and ensure deadlines are met

- Prepare status reports, facilitate meetings, and maintain documentation

Required Skills

Data engineering architecture, AI/ML model design and implementation, Agentic AI solutions, Stakeholder coordination, Code review and quality assurance, Delivery planning and risk mitigation, Scalability, performance, and reliability engineering

Preferred Skills

Cloud-native data platforms, MLOps practices, Technical documentation, Cross-functional team leadership, Backlog management

Preferred qualifications

Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience; advanced degree preferred.