Senior AI Engineer – Generative AI & Scalable ML

Starbucks Corp.; Nashville (TN); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k) with employer match

Tuition coverage

Job summary

Starbucks Coffee Company seeks a senior AI engineer to own end-to-end AI workflows, integrating LLMs and multi-agent systems into production applications. You will support delivery, resolve complex issues, and ensure secure, scalable releases across cloud platforms.

The role emphasizes staying ahead on AI standards, collaborating with teams and vendors, and delivering reliable services that enhance customer focus while maintaining regulatory compliance. Onsite four days per week.

Qualifications

• 4–10 years of professional experience in software engineering.
• Hands-on experience with deep learning frameworks, vector databases, RAG pipelines, and LLM orchestration.
• Experience deploying scalable AI services on cloud platforms.
• Bachelor’s degree in Computer Science or a related field.
• Preferred programming languages: Python, Java, Go, C/C++, Ruby, or Perl.

Responsibilities

• Design end-to-end AI and machine learning workflows, integrating LLMs and multi-agent frameworks into production applications.
• Enable strong engineering delivery by supporting development teams, resolving complex issues, and building robust release processes.
• Ensure security and compliance by design through secure applications and infrastructure, and uphold policies and regulatory requirements.
• Influence technical direction and standards by researching tools, platforms, and best practices across teams.

Skills

Deep learning

Vector databases

RAG pipelines

LLM orchestration

Cloud deployment

Education

Bachelor’s degree in Computer Science

Job description

Starbucks Coffee Company seeks a senior AI engineer to own end-to-end AI workflows, integrating LLMs and multi-agent systems into production applications. You will support delivery, resolve complex issues, and ensure secure, scalable releases across cloud platforms.

The role emphasizes staying ahead on AI standards, collaborating with teams and vendors, and delivering reliable services that enhance customer focus while maintaining regulatory compliance. Onsite four days per week.