AI Solutions Engineer

King
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (NLP)

Senior AI Engineer

Azure AI Engineer

Principle Engineer

GRADUATE SUPPORT ASSOCIATE - Physics, Science, Grad

Machine Learning Manager

Craft:

Data, Analytics & Strategy

Job Description:

AI Solutions Engineer

Job description

The AI/ML organization is responsible for integrating AI to enhance all aspects of King’s operation. We help game and supporting teams develop AI powered features and products. We provide education and forward looking applied AI research and drive King’s overall AI strategy, as well as support the development of game and internal product AI strategies. As a response to the fast development of third party AI tools based on e.g. LLMs and generative models, we will be expanding AI/ML with a team that helps King evaluate new technologies and commercial tools (COTS) that we could use to boost productivity or enable faster routes to a better player experience. The tentative name for the multi- functional team is AI Productivity Enablement and spans across AI/ML. We are now looking for an AI Solutions Engineer to support the efforts of this team!

Your role within the Kingdom

The AI Solutions Engineer is a critical player in King's AI/ML organization, responsible for actualizing the team's AI strategies through hands- on development and integration. They bring the team's vision to life by developing proofs- of- concept, customizing AI tools based on user needs, and integrating these tools within King's existing systems. The AI Solutions Engineer ensures that King's AI- first transformation is not just strategic but also practical, driving tangible improvements in productivity and user experience!

Key responsibilities

Design and develop proofs- of- concept for potential AI tools, demonstrating their value and feasibility. Customize AI tools based on insights gathered by the AI User Experience Analyst, ensuring that they meet user needs and enhance productivity. Integrate AI tools within King's existing systems, working closely with internal teams to ensure seamless implementation. Collaborate with the AI Discovery Engineer and the rest of the team to align development and integration efforts with King's AI productivity and enablement strategy. Assist in solving and resolving any issues related to AI tool integration and usage.

Skills to Create Thrills

Experience

Proven experience in a development- focused role, preferably within an AI context. Strong coding skills, with experience in AI- related languages and frameworks. Experience with GPT- 4 and other LLM implementations. Experience with building applications on GCP and Vertex AI

Knowledge and Skills

Strong understanding of AI and its practical applications, with a proven ability to develop and integrate AI tools. Ability to design solutions from the ground up to address stated problems Good understanding of DevOps principles and how to apply them Excellent problem- solving and analytical skills, with a keen ability to solve and resolve technical issues. Strong written and verbal communication skills, with the ability to collaborate effectively with both technical and non- technical team members.

Key Attributes

Thorough and highly organized, with a strong ability to manage numerous projects simultaneously. Proactive and solutions- focused, with a strong desire to drive tangible improvements in productivity and user experience. Excellent teamwork skills, with the ability to collaborate effectively with a diverse team.

Nice to Have

Experience in a casual game development company. Experience with modern machine learning frameworks like PyTorch or Tensorflow.

Please note -As the holiday season blankets the Kingdom, our hiring teams are embarking on a cozy winter journey and our hiring processes will slow down. This sweet detour means that our response times will be slower than usual.

About King

King is the game developer behind the world- famous Candy Crush franchise, as well as mobile game hits including Farm Heroes, Bubble Witch and Pet Rescue. Candy Crush is the top- grossing franchise in US app stores, a position it has held for the last two years, and King’s games are being played by 245 million monthly active users as of Q3 2021. King, which is part of the Activision Blizzard group since its acquisition in 2016, employs nearly 2,000 people in game studios in Stockholm, Malmö, London, Barcelona and Berlin, and offices in San Francisco, New York, and Malta.

A Great Saga Needs All Sorts of Heroes

Making games is fun. Especially when you do it with people who share the same idea of what makes a good workplace great. We design games for everyone, no matter where they are or who they are, and we employ all sorts of people from all kinds of backgrounds to bring them to life. Truth is, we simply cannot expect diversity in our players and originality in our games without first nurturing it in our people. A great saga needs all sorts of heroes.

Making the World Playful

Making the World Playful is what inspires us to create new experiences and raise the bar. It’s what makes King a place where we can all dream bigger, continue to add innovation to our games, broadening the portfolio and exploring new territories in mid- core and casual. We take the art and science of gaming to the next level through our curiosity for the unexplored, passion for games, respect for each other and love for our players - and we’re not afraid to have fun along the way. In fact, together with our parent company Activision Blizzard and experts around the world, we believe having fun is good for you. There has never been a better time to join us. We're dreaming bigger and see a world of possibilities ahead. If you share our passion, our values, and our hunger to shape the future, join us in Making the World Playful!

Applications need to be in English.
Discover King at

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.