Ai Engineer Architect Jobs (NOW HIRING)

We are seeking an innovative AI/ML Engineer / Architect to drive artificial intelligence and machine learning initiatives across the Storage Products Group (SPG). In this role, you will explore emerging AI technologies, architect scalable solutions, and accelerate the adoption of AI-driven capabilities that improve engineering productivity, product development, validation, firmware workflows, and business operations.

You will work at the intersection of AI research, software engineering, and systems architecture, evaluating cutting-edge technologies such as Large Language Models (LLMs), Agentic AI frameworks, Generative AI, and intelligent automation platforms. The ideal candidate combines deep technical expertise with strong collaboration skills and a passion for transforming innovative concepts into production-ready solutions that deliver measurable business impact.

Key Responsibilities

• Research, evaluate, and prototype emerging AI/ML technologies and architectures to address engineering and operational challenges across SPG.

• Design, develop, and deploy scalable AI/ML solutions that improve productivity, quality, automation, and decision-making.

• Lead proof-of-concept and rapid prototyping efforts to validate new AI capabilities and demonstrate business value.

• Architect and integrate AI-powered applications into production environments while ensuring scalability, security, reliability, and maintainability.

• Develop and implement best practices for AI development, deployment, monitoring, governance, and lifecycle management.

• Drive adoption of Generative AI, Agentic AI, coding assistants, and intelligent automation tools across engineering organizations.

• Define and promote responsible AI standards, including model evaluation, compliance, security, transparency, and risk management.

• Partner with firmware, validation, product engineering, business operations, and software development teams to identify and prioritize high-impact AI opportunities.

• Provide technical leadership in selecting AI platforms, frameworks, and development tools.

• Present technical findings, architectural recommendations, and implementation strategies to stakeholders, engineering teams, and senior leadership.

• Mentor engineers and champion AI/ML best practices throughout the organization.

• Stay current on advancements in machine learning, large language models, agent frameworks, and AI-enabled software development methodologies.

Basic Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, Software Engineering, or a related technical field.

• 2 - 5+ years of experience in software engineering, systems design, machine learning, artificial intelligence, or related technical disciplines.

• Experience developing and deploying software solutions using Python or similar programming languages.

• Hands-on experience with AI/ML technologies, including machine learning frameworks, Generative AI, or Large Language Models.

• Understanding of software architecture, distributed systems, and scalable application design principles.

• Experience evaluating and integrating third-party technologies, frameworks, and platforms.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication skills with the ability to explain complex technical concepts to technical and non-technical audiences.

• Ability to collaborate effectively across multiple engineering disciplines and business functions.

Preferred Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.

• 8+ years of experience in AI/ML engineering, systems architecture, research engineering, or advanced software development.

• Deep expertise with Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Agentic AI systems, and Generative AI applications.

• Experience using and extending modern AI development tools such as Claude Code, GitHub Copilot, AI agents, and autonomous development frameworks.

• Experience building enterprise AI platforms, AI copilots, or intelligent automation solutions.

• Knowledge of MLOps, LLMOps, model deployment pipelines, monitoring, and governance frameworks.

• Experience establishing responsible AI, AI governance, security, or compliance standards.

• Familiarity with semiconductor, storage, SSD, firmware, validation, or systems engineering environments.

• Experience applying AI to engineering productivity, software development, test automation, validation, or product lifecycle workflows.

• Demonstrated ability to influence technical strategy and drive organizational adoption of emerging technologies.