Applied AI Solutions Engineer
Applied AI Solutions Engineer
Key Points
- Competitive Salary
- London or Edinburgh (hybrid working)
- Build and deploy enterprise-grade Generative AI solutions
- Work directly with clients on high-impact AI transformation programmes
- Fast-paced, high-growth environment focused on applied AI innovation
Overview
This is an opportunity to join a forward-thinking AI consultancy at the forefront of Generative AI, helping organisations unlock real commercial advantage through cutting-edge technology.
As an Applied AI Solutions Engineer, you will sit at the intersection of engineering, consulting, and innovation, designing, building, and deploying production-ready AI solutions that solve complex business challenges. Working in small, high-performing teams, you’ll collaborate directly with clients to develop impactful applications, including intelligent agents built on large language models.
This role is hands-on and client-facing, ideal for engineers who enjoy both technical depth and business engagement. As you grow, you’ll take ownership of end-to-end solutions, influence AI strategy, and step into technical leadership responsibilities.
Key Responsibilities
- Design, build, and deploy production-grade AI solutions, including LLM-powered applications and agent-based systems, using Python, SQL and modern data technologies
- Architect scalable systems such as microservices and data pipelines, ensuring performance, reliability, and maintainability in enterprise environments
- Own end-to-end solution delivery, from initial design through to deployment, testing, and continuous optimisation
- Apply strong analytical problem-solving to translate complex business challenges into practical, high-impact AI solutions
- Work directly with clients to gather requirements, shape AI strategies, and clearly communicate complex technical concepts in a business-friendly way
- Act as a trusted advisor to stakeholders, linking AI solutions to measurable business outcomes such as efficiency, cost reduction, or revenue growth
- Lead and mentor engineers within delivery teams, contributing to technical direction, best practices, and team capability development
- Collaborate cross-functionally with technical and non-technical stakeholders to deliver integrated, user-focused AI solutions
- Ensure high standards of quality assurance, testing, and system performance across all deployed AI solutions
- Stay at the forefront of AI and machine learning advancements, rapidly adopting new tools, frameworks, and approaches
- Operate effectively in a fast-paced, evolving environment with a high degree of autonomy and adaptability
- Promote responsible AI practices, ensuring solutions are designed with strong consideration for data privacy, ethics, bias mitigation, and compliance
- Support successful client adoption through training, documentation, and ongoing optimisation of deployed solutions