Tech Lead (AI Architect)
About Bluebik Digital
Bluebik Digital is a subsidiary under Bluebik Group, the leading consultancy focusing on comprehensive advice on digital transformation to transform the capabilities of our clients through technological application. Bluebik Digital focuses on IT consulting and technology solution. Leveraging world-class technology to deliver outstanding experiences with trust and quality.
Work you will do
AI/ML Architecture & Technical Strategy
Design and own the reference architecture for AI/ML systems, covering data ingestion, feature engineering, model training, model serving, and monitoring layers
Define architectural standards, design patterns, and reusable components (feature stores, model registries, experimentation frameworks)
Evaluate and select the AI/ML technology stack — build vs. buy decisions, cloud vs. on-prem tradeoffs, open-source vs. vendor platforms — and maintain a technology roadmap
Act as the primary technical authority on AI architecture decisions across teams, ensuring consistency and avoiding fragmented, duplicative infrastructure
Recommendation, Personalization & Applied AI Systems
Guide the architecture underpinning recommendation and personalization systems (collaborative filtering, content-based filtering, hybrid, deep learning, and reinforcement learning approaches), working with the data science and ML engineering teams that implement them
Architect solutions for cross-cutting AI challenges such as cold-start handling, long-tail content promotion, and diversity/fairness in ranking systems
Extend the architectural framework to support personalization beyond content — app layout, feature recommendations, notifications
Ensure architectural consistency and interoperability so personalization and AI capabilities can be reused seamlessly
Scalability, MLOps & Platform Engineering
Architect systems for large-scale data processing and real-time inference, with clear SLAs on latency, throughput, and resource utilization
Design and oversee MLOps practices — CI/CD for ML, automated retraining pipelines, model versioning, A/B testing infrastructure, and observability/monitoring for model performance and drift
Define data pipeline and model-serving infrastructure standards that scale reliably as the number of AI use cases and platforms grows
Establish governance frameworks for model risk, data privacy, security, and responsible AI practices across all AI systems
Cross-Functional Leadership & Enablement
Serve as a technical advisor and architectural reviewer for data science and ML engineering teams building recommendation, personalization, and other AI products
Collaborate with product, engineering, and infrastructure leadership to align AI architecture with overall platform strategy and business roadmap
Mentor engineering and data science teams on architectural best practices, elevating the technical maturity of AI development org-wide
Translate complex architectural tradeoffs into business impact and risk narratives for executive stakeholders
Let us Talk About You
If you are someone with:
6+ years of experience in software/ML engineering, with significant experience in an AI/ML architecture, platform, or technical leadership capacity
Proven track record designing and scaling end-to-end AI/ML system architectures (data pipelines, feature stores, model training/serving infrastructure, MLOps tooling) in production environments
Deep expertise in machine learning system design, including familiarity with recommendation systems, deep learning, and reinforcement learning approaches
Strong hands-on knowledge of large-scale distributed data processing technologies and cloud-based infrastructure (e.g., Kubernetes, Spark, cloud ML platforms)
Experience architecting real-time, low-latency inference systems at scale
Solid understanding of data governance, model risk management, security, and responsible/ethical AI practices
Why work with us
We are a team of experts in a talented community, a collaborative atmosphere where creativity is encouraged. People First, by putting people at the heart of our priorities, we foster a work environment where you can excel and grow personally and professionally. Bluebik is strived for growth and expansion, and you can be part of our success story. We combine strategy, digital delivery excellence and deep technology advisory to help our clients transform their business. At Bluebik, your career advancement starts with actions. You can manage your own career and will advance based on performance. We collaborate to create unique and outstanding experiences with our talents to empower learning and growth opportunities. Whatever your ambitions, Bluebik offers you with a highly inclusive community of talents from both tech and business worlds to realize your full potential.
What we offer
We offer impactful and challenging work with mentorship and support from direct managers and subject matter experts. You will have autonomy to manage your career path with endless opportunities for professional growth. Our comprehensive benefit package covers medical insurance, life, accident and disability insurance, wellness allowance, vaccination allowance, providence fund, flexible working arrangement, and Professional certification. Bluebik provides opportunities to become the best version of yourself!
Equal opportunity
Bluebik is an equal opportunity employer. We owe our success to the talents of our diverse team and the varying perspectives they add to our thriving community.
Recruitment agencies
Bluebik does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Bluebik employees or other parts of the business. Bluebik will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.
Employer questions
- ข้อใดต่อไปนี้อธิบายสิทธิในการทำงานในประเทศไทยของคุณได้ตรงที่สุด
- เงินเดือนที่คาดหวังของคุณคือเท่าไหร่
- How many years' experience do you have as an Artificial Intelligence Architect?
- คุณมีวุฒิการศึกษาใดบ้าง
- ระยะเวลาที่คุณสามารถเริ่มงานได้ หลังจากแจ้งลาออกจากองค์กรปัจจุบัน
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