Join Halfspace’s Engineering Team - Generative AI solutions

Who We Are

At Halfspace, part of Faculty - we believe that the smallest edge can make the biggest difference. We began in sports, predicting outcomes in live football matches, and today we bring that same precision and ambition into the world of business. We're here to unlock value through artificial intelligence and help organisations make better, more informed decisions, faster.

With more than one hundred AI and data projects delivered, our work has transformed industries and earned international recognition. But awards and numbers tell only part of the story. What truly defines us is our people. Our team comes from leading institutions such as KU, DTU, Stanford, Oxford, Harvard, Caltech, Yale, Columbia, and many more, blending expertise in physics, engineering, mathematics, statistics, operations research, computer science, chemistry, economics, biology, design and strategy. Together, we share curiosity, boldness, and a pioneering spirit.

Halfspace is a part of Faculty, which forms the global spearhead for deep applied AI capabilities in Accenture. Faculty, founded in the UK and now expanding globally, has a long history of building and deploying advanced AI solutions for major industry players, including work on AI Safety with Frontier AI Labs.

What you'll be doing

As part of the AI Engineering team at Halfspace, you’ll be building innovative solutions along with the very best within the field of scalable, robust and resilient GenAI, in many cases significantly changing how our clients work. You’ll have the opportunity to work at the forefront of a fast-moving field, and the responsibility to ensure that the rapid innovation has real impact. You will split you time between client sites, where you directly interfacing with the people we build for to understand their problems in depth, and working from our offices, sharing knowledge and learning from the whole Halfspace team. You’ll be part of defining what best practice looks like, when it comes to building production-grade Generative AI solutions that deliver value in practice.

You’ll work alongside engineers, scientists, and strategists from some of the world’s leading institutions, applying deep technical expertise and creative thinking to solve complex problems. From prototyping novel AI applications to operationalising solutions at scale, you’ll bridge research and engineering to turn ideas into solutions that redefine performance.

Who we're looking for

We’re looking for engineers who are deeply passionate about Generative AI and motivated to build real-world systems with the technology. You combine strong technical fundamentals with hands-on experience working with LLMs and understand how to turn cutting-edge models into reliable, production-ready solutions. You take ownership, you build to solve real problems, and thrive on working directly with the people you build for. 

What you will bring

These requirements are representative of the work you will be doing. Do not hesitate to apply if you do not master all of them (yet), as long as you are confident in some of them. 

• Experience designing, building, and deploying agentic AI systems, including agent architectures and orchestration patterns

• Strong understanding of RAG architectures and retrieval systems, from data pipelines (chunking, embeddings, vector databases) to retrieval optimisation

• Hands-on experience with LLMOps, including evaluation frameworks, regression testing, monitoring, and observability

• Strong Python engineering skills with production standards (testing, CI/CD, performance awareness)

• The ability to turn ambiguous business requirements into a well-defined solution scope, articulating and evaluating trade-offs in the process, e.g. between ambition and time-to-value

• The ability to explain technical choices and trade-offs to both technical and non-technical audiences

• Proven ownership and a sense of quality: you take pride in solving hard problems and drive the process to deliver outstanding outcomes

• Curiosity and a wish to grow: you actively seek new knowledge, and you love sharing your own knowledge and skills to help the people around you grow

If you have less than two years of professional experience, please include your academic transcripts with your application.

Nice to have

• Proven experience taking Generative AI systems from prototype to production, either in cloud environments (Azure, AWS, GCP) or on-premises

• Experience working directly with users to deeply understand their problems and ensure the solutions you build are valuable

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.