Lead Software Engineer

Virtusa; Irving (TX); Sur place; USD 150 000 - 230 000; Plein temps

Résumé du poste

Virtusa is seeking a senior leader to design, architect, and deliver scalable data-driven applications and AI systems. You will guide end-to-end development, influence enterprise architecture, and mentor engineering teams to align with strategic objectives.

This role requires a strong foundation in Python, data libraries, and ML frameworks, plus hands-on experience deploying models and working with LLMs. You will collaborate across functions to drive robust, scalable solutions.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• 7–10+ years of experience developing scalable applications, including AI/ML systems.
• Strong Python and data-library expertise; practical experience with LLMs and generative AI frameworks; ML deployment experience.

Responsabilités

• Lead the design, architecture, and implementation of scalable applications and data-driven solutions, including AI and generative AI systems.
• Drive end-to-end development, influence architecture decisions, and lead engineering teams while aligning solutions with enterprise standards and strategic objectives.

Connaissances

Python

NumPy

Pandas

Large Language Models

Generative AI

Machine Learning

Data Engineering

System Architecture

Distributed Systems

Application Development

Technical Leadership

Team Mentoring

Analytical Problem-Solving

Cross-Functional Collaboration

Formation

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

Description du poste

Lead the design, architecture, and implementation of scalable applications and data-driven solutions, including AI and generative AI systems. Drive end-to-end development, influence architecture decisions, and lead engineering teams while aligning solutions with enterprise standards and strategic objectives.

Requirements:

Requires a bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, and 7–10+ years of experience developing scalable applications, including AI/ML systems. Candidates should have strong Python and data-library expertise, practical experience with LLMs and generative AI frameworks, machine learning deployment experience, knowledge of architecture and data engineering, and the ability to lead and mentor teams.

Key Skills:

• Python
• NumPy
• Pandas
• Large Language Models
• Generative AI
• Machine Learning
• Data Engineering
• System Architecture
• Distributed Systems
• Application Development
• Technical Leadership
• Team Mentoring
• Analytical Problem-Solving
• Cross-Functional Collaboration