Senior AI / Machine Learning Technical Leader (LLMs & GenAI)

AspiringIT; Plano (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

AspiringIT seeks a Senior AI Technical Leader in Plano, TX for guiding the design, development, and deployment of enterprise-grade AI solutions across NLP, vision, recommendations, and analytics. You will lead cross-functional teams, shape technical strategy, and promote responsible AI practices while ensuring scalable, production-ready systems.

The role demands deep ML expertise, strong leadership, and hands-on experience with cloud platforms and MLOps.

Qualifications

• 5+ years of software engineering experience in relevant languages.
• 2+ years hands-on with ML frameworks such as PyTorch or TensorFlow.
• Strong experience with LLMs, Generative AI, or agent-based frameworks.
• Proven track record delivering enterprise-scale AI/ML on cloud platforms (AWS/Azure/GCP).
• Deep understanding of ML algorithms and optimization techniques.
• Experience with MLOps tools (Docker, Kubernetes, MLflow, etc.).
• Ability to translate research concepts into production-ready systems.
• Strong stakeholder communication and leadership skills.
• Bachelor’s degree in Computer Science, AI, ML, or related field.

Responsibilities

• Lead design, development, and delivery of scalable AI/ML solutions aligned with business objectives.
• Serve as SME in applied AI, influencing enterprise-wide strategy.
• Drive large-scale AI transformation initiatives across functions.
• Collaborate with cross-functional stakeholders to identify high-impact AI use cases.
• Oversee end-to-end ML lifecycle: data prep, training, evaluation, deployment, monitoring.
• Ensure production-grade deployment focusing on scalability, performance, reliability.
• Translate cutting-edge AI research into practical, business-driven solutions.
• Implement and promote responsible AI practices (fairness, transparency, security).
• Stay updated with emerging AI trends, tools, and frameworks.

Skills

Software engineering

ML frameworks

LLMs / Generative AI

Enterprise AI on cloud

ML algorithms

MLOps

Research to production

Leadership

Education

Bachelor's degree in CS/AI/ML or related

Master’s or Ph.D. in AI/ML/Data Science (preferred)

Tools

Docker

Kubernetes

MLflow

Job description

Position Summary

We are seeking a highly experienced Senior AI Technical Leader to drive the design, development, and deployment of advanced AI solutions addressing complex business challenges. This role will lead enterprise-level AI initiatives across domains such as Natural Language Processing (NLP), Computer Vision, Recommendation Systems, and Predictive Analytics, while shaping technical strategy and establishing best practices.

Key Responsibilities

• Lead the design, development, and delivery of scalable AI/ML solutions aligned with business objectives
• Serve as a subject matter expert in applied AI, influencing enterprise-wide strategy
• Drive large-scale AI transformation initiatives across multiple business functions
• Collaborate with cross-functional stakeholders to identify and implement high-impact AI use cases
• Oversee end-to-end ML lifecycle: data preparation, model training, evaluation, deployment, and monitoring
• Ensure production-grade deployment with focus on scalability, performance, and reliability
• Translate cutting-edge AI research into practical, business-driven solutions
• Implement and promote responsible AI practices (fairness, transparency, security)
• Stay updated with emerging AI trends, tools, and frameworks

Required Qualifications

• 5+ years of software engineering experience (Python, C#, Java, C++, or similar)
• 2+ years hands-on experience with ML frameworks (PyTorch, TensorFlow)
• Strong experience with LLMs, Generative AI, or agent-based frameworks
• Proven track record delivering enterprise-scale AI/ML solutions on cloud platforms (AWS, Azure, or GCP)
• Deep understanding of ML algorithms, deep learning, and optimization techniques
• Experience with MLOps tools (Docker, Kubernetes, MLflow, etc.)
• Ability to convert research concepts into production-ready systems
• Strong stakeholder communication and leadership skills
• Bachelor’s degree in Computer Science, AI, ML, or related field

Preferred Qualifications

• Master’s or Ph.D. in AI, Machine Learning, Data Science, or related field
• Experience with transformers, edge AI, federated learning, or real-time inference
• Contributions to open-source AI projects, research publications, or patents
• Experience with enterprise productivity and collaboration tools

Job Type

Full Time

Job Location

Plano Tx (Hybrid)