Lead AI Developer

Please find the job description below for your reference:

Lead AI Developer

Day1 onsite in Houston, TX 

What You will Do:
 

• Lead the architecture, design, and development of scalable AI and machine learning solutions.
• Collaborate with business stakeholders, product managers, and engineering teams to translate business needs into AI-driven solutions.
• Work closely with QA engineers, automation engineers, and DevOps teams to augment existing tools and processes with AI capabilities.
• Lead the design and development of AI/ML models and intelligent automation solutions aligned with business goals.
• Evaluate and integrate AI tools, platforms, and accelerators into the existing ecosystem.
• Drive continuous improvement by measuring the impact of AI adoption on defect leakage, automation efficiency, and delivery timelines.

What You Will Bring:

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science with strong foundation in Data Engineering and Machine Learning
• 10+ years of experience in software engineering, with 4+ years in AI/ML
• Strong programming experience in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Experience in applying AI within engineering domains such as QA, DevOps, or automation.
• Experience with Generative AI, LLMs, and AI-powered developer productivity tools.
• Proven ability to lead initiatives, influence teams, and drive technology adoption.
• Strong analytical skills with the ability to translate operational challenges into AI-driven solutions.

Nice-to-Have Qualifications

• Exposure to AI-driven testing tools (e.g., self-healing automation, intelligent test generation platforms).
• Hands-on experience working with cloud platforms (Azure, AWS, or Google Cloud Platform).
• Familiarity with AI-assisted DevOps (AIOps) and observability platforms.
• Knowledge of AI governance, ethical AI, and responsible AI practices.
• Familiarity with PC OEMs/Hi-Tech industry, work experience in PC OEM/ODM companies.

Soft Skills

• Strong leadership and change management capabilities to drive AI adoption in an established team.
• Excellent communication skills
• Collaborative mindset with the ability to work across cross-functional teams.
• Problem-solving orientation with a focus on practical, high-impact outcomes.
• Ability to educate, influence, and inspire teams to embrace new technologies.