SR. AI ENGINEER, SMAI
Micron Technology, Inc. (company site, opens in a new tab)5+ yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 1d ago
Reach people at Micron Technology, Inc.
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Micron Technology, Inc. you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own end-to-end design, development, deployment, and production support of scalable, secure AI-enabled enterprise applications and services.
- Architect and implement complex AI solutions using machine learning, Generative AI, Large Language Models, and agentic capabilities to deliver measurable business value.
- Lead technical leadership activities including architecture reviews, mentoring engineers, enforcing engineering standards, and ensuring production readiness and reliability.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field.
- 5+ years of professional experience developing and supporting production-grade enterprise solutions with ownership across design through production.
- Proficiency in at least one general-purpose programming language (Python, C#, Java, C++), developing secure RESTful APIs, and cloud-based application development.
- Experience integrating Large Language Models or machine-learning capabilities into production applications and strong SQL skills; hands-on use of cloud platforms (Azure, GCP, AWS) and container orchestration (Docker, Kubernetes).
Ideal Candidate Profile
- Experienced in architecting modular, cloud-native AI solutions that integrate data platforms, services, and advanced AI capabilities at enterprise scale.
- Skilled at bridging technical and business stakeholders to translate complex requirements into scalable AI architectures and delivering measurable outcomes.
- Practiced in responsible AI principles, security-by-design, governance, production readiness, and mentoring within global, cross-functional engineering teams.