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AI Architect (Remote)

RemoteStar

Cambridge

Remote

GBP 60,000 - 80,000

Full time

30+ days ago

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Job summary

An innovative firm is on the lookout for an AI Architect to spearhead the design and development of cutting-edge AI/ML platforms. This pivotal role requires a deep understanding of cloud AI technologies and a passion for driving AI integration across the organization. You will collaborate with a dynamic team, utilizing your expertise to create robust solutions that enhance the company's offerings. With a hybrid work model, this position offers the perfect blend of flexibility and collaboration. If you're ready to make a significant impact in the AI landscape, this opportunity is for you!

Qualifications

  • 5+ years of experience in AI, developing solutions and products.
  • Expertise in managing complex AI/ML architecture in fast-paced environments.

Responsibilities

  • Lead the design and development of AI platforms and solutions.
  • Stay updated on industry trends and implement new AI technologies.

Skills

AI/ML platform architecture
Cloud AI platforms (preferably AWS)
MLOps
DevOps for data and AI solutions
Communication skills
Real-time data analytics
Generative AI
Flow and agent-based applications

Education

Bachelor's in Computer Science
Master's or Ph.D. in AI

Tools

AWS
AI technologies
Machine learning algorithms

Job description

AI Architect

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.
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