Merchant Acquisition & Edc Solutions Lead

BukuWarung; Boyolali ꦧꦺꦴꦪꦭꦭꦶ; Remote; IDR 450,000,000 - 850,000,000; Full time

Benefits offered by this job

Fully remote work environment

Executive-level benefits package

Generous budget for professional dev

Job summary

Bukuwarung is seeking an experienced Lead AI Solutions Architect to spearhead the design and implementation of scalable AI strategies in a fully remote role. You will translate complex requirements into architecture blueprints, lead AI/ML platforms, mentor engineering teams, and ensure best practices in MLOps and data governance.

Ideal candidates have 7+ years in software architecture, 4+ years in AI/ML, and hands-on experience across NLP, computer vision, and reinforcement learning on cloud

Qualifications

• Master's or Ph.D. in Computer Science, Engineering, or related field with AI/ML specialization.
• 7+ years in software architecture, with at least 4 years focused on AI/ML solutions.
• Proven experience designing and deploying complex, scalable AI/ML systems in production.
• Deep understanding of NLP, Computer Vision, and Reinforcement Learning.
• Expertise in cloud platforms and their AI/ML services.
• Strong knowledge of MLOps, data engineering, and software development best practices.

Responsibilities

• Design end-to-end AI solutions architectures, considering data flow, model integration, scalability, and security.
• Lead the technical design and implementation of AI/ML platforms and services.
• Collaborate with stakeholders to understand business needs and translate them into technical requirements for AI solutions.
• Evaluate and recommend AI technologies, frameworks, and tools to best meet project goals.
• Provide technical leadership and mentorship to AI and engineering teams.
• Ensure that AI solutions adhere to best practices in MLOps, data governance, and ethical AI principles.

Skills

AI/ML architecture

Cloud platforms (AWS/Azure/GCP)

MLOps

Data engineering

Technical leadership

Education

Master's or Ph.D. in Computer Science or related with AI/ML

Tools

AWS

Azure

GCP

Job description

Our client is seeking an experienced and visionary Lead AI Solutions Architect to spearhead the design and implementation of AI strategies in this fully remote position. You will play a critical role in defining the technical direction for AI initiatives, ensuring that solutions are scalable, robust, and aligned with business objectives. Working collaboratively with engineering, product, and business teams, you will translate complex requirements into comprehensive AI architecture blueprints. This is a leadership opportunity for a seasoned architect passionate about leveraging AI to drive innovation and business value.

Key Responsibilities

• Design end-to-end AI solutions architectures, considering aspects like data flow, model integration, scalability, and security.
• Lead the technical design and implementation of AI/ML platforms and services.
• Collaborate with stakeholders to understand business needs and translate them into technical requirements for AI solutions.
• Evaluate and recommend AI technologies, frameworks, and tools to best meet project goals.
• Provide technical leadership and mentorship to AI and engineering teams.
• Ensure that AI solutions adhere to best practices in MLOps, data governance, and ethical AI principles.

Requirements

• Master's or Ph.D. in Computer Science, Engineering, or a related field, with a specialization in AI/ML.
• 7+ years of experience in software architecture, with at least 4 years focused on AI and machine learning solutions.
• Proven experience designing and deploying complex, scalable AI/ML systems in production.
• Deep understanding of various AI domains including NLP, Computer Vision, and Reinforcement Learning.
• Expertise in cloud platforms (AWS, Azure, GCP) and their AI/ML services.
• Strong knowledge of MLOps principles, data engineering, and software development best practices.

Benefits

• Highly competitive salary and executive-level benefits package.
• Fully remote work environment, allowing for global collaboration.
• Significant opportunities for strategic impact and leadership in AI innovation.
• Generous budget for professional development, conferences, and advanced training.
• A dynamic and forward-thinking culture focused on cutting-edge AI advancements.