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- Tasks: Design and develop cutting-edge AI/ML platform architecture.
- Company: Join RemoteStar, a leading iGaming operator with a global reach.
- Benefits: Enjoy a hybrid work model with flexibility and corporate perks.
- Why this job: Be at the forefront of AI innovation in a dynamic industry.
- Qualifications: 5+ years in AI, with expertise in Cloud platforms and ML solutions.
- Other info: Opportunity to work with a talented team and drive impactful projects.
The predicted salary is between 48000 - 84000 £ per year.
About client: At RemoteStar we are currently hiring for a client who is a world-class iGaming operator offering various online gaming products across multiple markets, both through their proprietary gaming sites and partner brands. Their iGaming platform is central to their strategy, supporting over 25 online brands and growing, and it's used by hundreds of thousands of users worldwide. Our client embraces a Hybrid work-from-home model, with the flexibility of working three days in the office and two days from home.
About the AI Architect role: We are seeking an experienced and hands-on AI Architect. This pivotal role involves the Design and Development of our AI/ML platform architecture, serving as the Subject matter expert for the AI Field. This position requires deep knowledge on Cloud AI Platforms, and excellent communication and presentation skills. As an important part of the AI Center of Excellence, this function also will help to promote the awareness, integration and utilization of AI across the organization, working with other architects to build a robust, scalable and integrated platform, to support products and services.
Key Responsibilities:
- Technical Leadership: Lead the Design and development of AI platforms and solutions, promote the alignment with other architects to ensure the interoperability and seamless integration with different platforms. Stay updated on industry trends, emerging technologies, and best practices to inform strategy development and ensure competitiveness. Direct the exploration and implementation of new AI technologies and methodologies, including Generative AI and MLOps.
- Solution Development and Implementation: Design, develop, deploy and maintain a framework and a platform to leverage and standardize the utilization of AI and Machine learning across the company.
What we are looking for:
- Bachelor's in computer science, Machine Learning, Artificial Intelligence, or a related field. Master's or Ph.D. in AI would be considered a plus.
- At least 5 years of experience in AI Field, have developed AI solutions and products, with significant experience in developing cutting edge platforms using Cloud (preferably AWS) and LLMs to enable seamless evolution and standardized utilization of the AI and Machine Learning by organization.
- Demonstrated expertise in managing complex Data/AI/ML Architecture and delivering results in a fast-paced environment.
- Experience on creating RAG systems and to build applications using flow and agents based on LLMs.
- Experience with MLOps and DevOps for data and AI Solutions.
- Proficiency in AI technologies, event driven and real time data analytics environments, development, and utilization of machine learning algorithms, MLOps, online feature stores for real time low latency applications, Generative AI Cloud Frameworks and Prompt/Flow/Agent Engineering.
- Stay abreast of emerging trends and technologies in the AI and ML space to proactively implement improvements, suggest innovative ways and ensuring it remains at the forefront of innovation in this dynamic field.
- Excellent communication skills, capable of translating complex AI concepts into clear business strategies to be communicated to different stakeholders at different levels of seniority and skills.
AI Architect (Remote) employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Architect (Remote)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially focusing on Cloud AI Platforms like AWS. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in this fast-evolving field.
✨Tip Number 2
Network with professionals in the iGaming and AI sectors. Attend relevant webinars, conferences, or local meetups to connect with industry experts. This can provide valuable insights and potentially lead to referrals for the AI Architect position.
✨Tip Number 3
Prepare to discuss your hands-on experience with AI solutions and platforms during interviews. Be ready to share specific examples of projects you've led or contributed to, particularly those involving MLOps and real-time data analytics.
✨Tip Number 4
Practice explaining complex AI concepts in simple terms. Since excellent communication skills are crucial for this role, being able to articulate your ideas clearly will set you apart from other candidates.
We think you need these skills to ace AI Architect (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, particularly any projects involving Cloud platforms like AWS. Emphasise your technical leadership skills and any relevant qualifications, such as a Master's or Ph.D. in AI.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your background aligns with the role. Mention specific technologies you've worked with, such as Generative AI and MLOps, and how you can contribute to the company's AI strategy.
Showcase Relevant Projects: Include a section in your application that details specific projects you've led or contributed to in the AI field. Highlight your role, the technologies used, and the impact of these projects on previous organisations.
Prepare for Technical Questions: Anticipate technical questions related to AI architecture and cloud technologies during the interview process. Be ready to discuss your approach to designing scalable AI solutions and how you stay updated on industry trends.
How to prepare for a job interview at RemoteStar
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI platforms and cloud technologies, particularly AWS. Highlight specific projects where you've designed or developed AI solutions, and be ready to explain the architecture and methodologies you used.
✨Demonstrate Communication Skills
Since the role requires translating complex AI concepts into business strategies, practice explaining your past projects in simple terms. Think about how you can convey technical details to non-technical stakeholders effectively.
✨Stay Updated on Industry Trends
Research the latest trends in AI and ML, especially around Generative AI and MLOps. Be ready to discuss how these trends could impact the company's strategy and how you can contribute to keeping them at the forefront of innovation.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think of examples where you've had to lead a project or overcome challenges in AI development, and be ready to share your thought process and outcomes.
