採用
Required Skills
Machine learning
Python
Cloud infrastructure
MLOps
Senior Architect – AI Engineering
When our customers are looking for IT consulting expertise, where else would they turn but to the company driving human progress through technology? Our Solutions Architecture team within Professional Services are experts in package customization and integration as well as total, end-to-end solutions in targeted industry segments. After thorough consultation with our customers and careful analysis, we develop new IT systems or replace existing systems that support customers’ strategic, operational and financial goals.
Join us to do the best work of your career and make a profound social impact as a Senior Architect – AI Engineering on our Solutions Architecture Team in Singapore.
What you’ll achieve
You will lead the design, development, and deployment of advanced AI systems across our organization. The ideal candidate will possess a deep understanding of machine learning, cloud infrastructure, model lifecycle management, and enterprise-grade AI system design.
You Will:
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Design and build end-to-end machine learning pipelines, from data ingestion to production deployment.
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Guide the adoption of best practices for AI development, testing, deployment, and maintenance, ensuring compliance with ethical standards and industry regulations
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Guide the development and deployment of machine learning models into production environments using modern MLOps practices.
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Optimize model performance and infrastructure for scale, cost, and latency.
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Evaluate new AI tools and frameworks and contribute to technical decision-making and roadmap planning.
Essential Requirements
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Bachelor’s or Master’s degree in Computer Science, AI, or a related field; a Ph.D. is a plus
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5+ years of experience in software engineering, with 3+ years focused on AI/ML projects in production environments.
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Proven experience with cloud services (AWS, GCP, Azure), containers (Docker, Kubernetes), and APIs.
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Proficiency in programming languages such as Python, R, or Java, and experience with AI frameworks like Hugging Face, Llama Index, Langchain, Tensor Flow, Py Torch, or Keras
Desirable Requirements
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Familiarity with LLMs, GenAI, or RAG architectures.
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Experience with distributed training or data processing (e.g., Spark, Dask).
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Exposure to AI ethics, model fairness, or responsible AI practices.
Who we are
We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 1 December 2025
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
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About Dell

Dell
PublicDell Technologies is a multinational computer technology company that develops, sells, repairs, and supports computers and related products and services. The company is known for its direct-sales model and customizable personal computers, servers, and enterprise solutions.
10,001+
Employees
Round Rock
Headquarters
Reviews
2.8
7 reviews
Work Life Balance
2.5
Compensation
3.2
Culture
1.8
Career
2.3
Management
1.5
15%
Recommend to a Friend
Pros
Competitive compensation and high pay
Good brand name and stepping stone opportunity
Virtual/remote work options
Cons
Toxic work environment and worst workplace experiences
Commission payment issues and unclear policies
Broken promotion promises and lack of transparency
Salary Ranges
4 data points
Unknown
Unknown · Full Time (estimated from internship data)
1 reports
$114,000
total / year
Base
$114,000
Stock
-
Bonus
-
$114,000
$114,000
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer Rate
33%
Experience
Positive 33%
Neutral 67%
Negative 0%
Interview Process
1
Interview
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