AI Solutions Architect

KEYSIGHT TECHNOLOGIES SINGAPORE (SALES) PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading technology company in Singapore seeks an AI Solutions Architect for its Electronics Industrial Solutions Group. This role requires a professional with extensive experience in AI/ML technologies and the ability to transform business challenges into scalable AI solutions. Candidates should have a strong programming background and familiarity with cloud platforms and data governance practices. Join a team committed to innovation and impactful technology solutions in electronics manufacturing.

Qualifications

• Bachelor's degree in a relevant field; Master's preferred.
• 8+ years in software development or data engineering.
• 5+ years with AI/ML technologies like Deep Learning and NLP.

Responsibilities

• Collaborate with stakeholders to define AI solution requirements.
• Design end-to-end AI solutions, including data ingestion and model development.
• Conduct proof-of-concepts to validate proposed AI solutions.

Skills

AI/ML technologies

Data architecture

Cloud platforms (AWS, Azure, Google Cloud)

Programming (C#, C++, Python, R, Java)

DevOps practices (CI/CD, Infrastructure as Code)

Containerization technologies (Docker, Kubernetes)

Education

Bachelor's degree in computer science, data science, engineering, or related field

Master's degree (preferred)

Tools

Data warehousing

ETL processes

Job description

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world‑class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our award‑winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry‑first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

We areseekinga passionate and innovativeAI architectto join our teaminElectronicIndustrial Solutions GroupAI/MLCenter of Excellence to launchAIsolutions and modelsfor future enterprise engagements. AsAISolutions Architect, you will be thecriticalcontributorfor translating business challenges within theelectronics manufacturing industry into robust, scalable, and innovative AI solutions.This individual will be a technical leader, bridging the gap betweenbusiness needs, data science teams, and engineering teams to design, develop, and deploy AI solutions that drivestrategic business value.They willpossessdeepexpertisein AI/ML technologies, data architecture, and a strong understanding of the electronics manufacturingtest.

• Collaborate with stakeholders (business, product, data science, engineering) to understand business challenges and define AI solution requirements.
• Design andarchitectend-to-end AI solutions, including data ingestion, data processing, model development, deployment, and monitoring.
• Develop detailedsolutionblueprints, technical specifications, and architecture diagrams.
• Research and assess AI/ML technologies particularly relevant to electronics manufacturing, includingComputer Vision for defect detection, Time Series Analysis for predictive maintenance, and Natural Language
• Conduct proof-of-concepts (POCs) tovalidatethe feasibility and effectiveness of proposed solutionsincluding processing for analyzing maintenance logs.
• Define data requirements and design data pipelines for AI model training and inference, considering the highvolume and velocity of data generated in an electronics manufacturing environment.
• Design and implement robust data governance and security practices, with a strong focus on data privacy andcompliance.
• Collaborate on infrastructure design and optimization to support AI workloads – cloud oron‑premises.
• Lead technical discussions and provide guidance to data science, engineering, and manufacturing operationsteams.
• Mentor and coach data scientists and engineers on best practices for AI solution design and implementationin an electronics manufacturing context.
• Promote knowledge sharing and best practices within the organization.
• Define key performance indicators (KPIs) for AI solutions – focusing on metrics like defect reduction,equipment uptime, and yield improvement.
• Work with operations teams tomonitorsolution performance andidentifyopportunities for continuousoptimization.
• Ensure solutions are scalable, reliable, and maintainable, considering the demanding requirements of amanufacturing environment.

Qualifications

• Bachelor’sdegree in computer science,datascience,engineering, ora relatedfield.Master’s degree preferred.
• 8+ years of experience in software development, data engineering, or a related technical role.
• 5+ years of experience specifically working with AI/ML technologies (e.g., Deep Learning, Natural LanguageProcessing, Computer Vision).
• Strong understanding of AI/ML algorithms, model training, andevaluationmetrics.
• Experience with cloud platforms (e.g.AWS, Azure, Google Cloud) – specifically experience deploying and managingAI/ML solutions.
• Proficiencyin programming languages such asC#, C++,Python, R, or Java.
• Experience with data warehousing, data lakes, and ETL processes.
• Excellent communication, collaboration, and problem-solving skills.
• Experience with DevOps practices (CI/CD, Infrastructure as Code).
• Experience with containerization technologies (Docker, Kubernetes).
• Familiarity with data governance frameworks and regulations (e.g., GDPR, CCPA).
• Experience withMLOps(Machine Learning Operations) practices.
• Certifications in relevant AI/ML technologies (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer Associate).