SR. AI ENGINEER, SMAI

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical discipline.
• 5+ years of professional experience developing, delivering, and supporting production-grade enterprise solutions.
• Demonstrated experience owning technical solutions across design, implementation, testing, deployment, and production support.
• Experience working in global, cross-functional environments and collaborating with technical and business stakeholders.
• Strong analytical, problem-solving, organizational, written communication, verbal communication, and presentation skills.
• Ability to manage ambiguity, evaluate technical trade-offs, and independently drive complex engineering work to completion.
• Ability to travel as needed.
• Required Technical Expertise
• Advanced proficiency in at least one general-purpose programming language such as Python, C#, Java, or C++, including object-oriented design, asynchronous programming, error handling, testing, debugging, and performance optimization.
• Experience developing secure RESTful APIs, backend services, microservices, integration components, and distributed applications.
• Practical experience with a modern frontend framework such as Angular, React, or Blazor, along with HTML, CSS, TypeScript, or JavaScript.
• Hands-on experience integrating Large Language Models or machine-learning capabilities into production applications.
• Experience with prompt design, Retrieval-Augmented Generation, embeddings, vector search, tool or function calling, AI agents, evaluation methods, grounding, and production safeguards.
• Strong SQL skills and experience with relational databases such as Microsoft SQL Server, PostgreSQL, Oracle, or MySQL.
• Working knowledge of non-relational, analytical, graph, search, or vector data stores.
• Experience designing and implementing ingestion, transformation, orchestration, and processing workflows using technologies such as Apache NiFi, Spark, Snowflake, or equivalent platforms.
• Experience developing cloud-based solutions on Azure, Google Cloud Platform, or Amazon Web Services using managed platform services.
• Understanding of containers and orchestration platforms such as Docker, Kubernetes, or OpenShift.
• Strong understanding of distributed systems, data structures, data models, schemas, event-driven systems, integration patterns, and scalable architecture.
• Experience with Git, pull-request workflows, automated testing, code-quality practices, and CI/CD using platforms such as GitHub Actions, Azure DevOps, or equivalent tools.
• Practical knowledge of logging, metrics, tracing, alerting, resiliency, troubleshooting, incident response, and production support.
• Knowledge of authentication, authorization, secrets management, secure coding, dependency management, data protection, and enterprise security controls.
• Understanding of responsible AI practices, including privacy, content safety, prompt-injection defense, groundedness, auditability, human oversight, and controlled system actions.

Preferred Qualifications

• Experience delivering Generative AI, agentic AI, intelligent automation, or advanced analytics solutions in an enterprise production environment.
• Experience with frameworks and platforms such as Azure OpenAI, Google Agent Development Kit, Vertex AI, or equivalent technologies.
• Experience implementing Model Context Protocol integrations or comparable governed tool-integration patterns.
• Experience evaluating AI solutions using repeatable datasets and measurable quality, safety, relevance, performance, and cost criteria.
• Experience modernizing legacy applications and data platforms into modular, cloud-native solutions.
• Experience designing highly available services, processing large-scale datasets, or supporting business-critical enterprise applications.
• Familiarity with manufacturing, supply chain, planning, operational analytics, or other data-intensive enterprise domains.
• About Micron Technology, Inc.
• We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
• To learn more, please visit micron.com/careers
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
• To request assistance with the application process and/or for reasonable accommodations, please contact [email protected]
• Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
• Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
• AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
• Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

About Micron Technology, Inc.