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

AspiringIT LLC; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

AspiringIT LLC seeks a Senior AI Technical Leader to drive the design, development, and deployment of advanced AI solutions across NLP, computer vision, recommendation systems, and predictive analytics. This role shapes technical strategy and establishes best practices for scalable, enterprise-grade AI.

Lead cross-functional teams and oversee the ML lifecycle from data preparation to deployment, ensuring performance, reliability, and responsible AI across cloud environments.

Qualifications

• 5+ years of software engineering experience.
• 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.

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.

Skills

Software engineering

ML frameworks

LLMs / Generative AI

Cloud platforms

MLOps

Leadership

Education

Bachelor’s degree in CS/AI

Masters/ PhD in AI (preferred)

Tools

Docker

Kubernetes

MLflow

TensorFlow

PyTorch

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