Chesamel Group
AI Engineering and Delivery Architect
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Company Description
Chesamel Group is a specialist consultancy that brings together an agile collective of experts to help forward-thinking businesses achieve extraordinary growth. The team combines human ingenuity, advanced technology, and shared values to deliver transformative business outcomes. Chesamel focuses on challenging conventional thinking and designing innovative, bespoke solutions that drive positive change. As a growing, collaborative organization, it offers professionals the opportunity to work closely with clients on impactful, technology-led initiatives.
Role Description
The AI Engineering and Delivery Architect will lead the design, implementation, and delivery of AI solutions for clients based in Greater London. This contract role is on-site and involves working directly with stakeholders to understand business objectives, translate them into technical architectures, and oversee end-to-end solution delivery. Day-to-day responsibilities include:
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- Defining AI and data architectures
- Guiding engineering teams
- Ensuring best practices in model development and deployment
- Integrating AI services into existing systems
- Creating technical documentation
- Managing delivery timelines
- Collaborating with cross-functional teams to ensure solutions are robust, scalable, and aligned with client needs
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Qualifications
- Strong experience in AI solution architecture, including designing end-to-end AI and data pipelines, model deployment strategies, and systems integration.
- Hands-on background in machine learning and data engineering, with proficiency in common ML frameworks, data processing tools, and cloud-based AI services.
- Proven ability to lead technical delivery, coordinate engineering teams, and manage project timelines and milestones for complex technology implementations.
- Experience collaborating with business stakeholders to gather requirements, define use cases, and translate business goals into technical specifications.
- Solid understanding of software engineering principles, APIs, microservices, and security and compliance considerations in AI and data solutions.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences and produce clear technical documentation.
- Background in consulting or client-facing roles, with a focus on innovation, problem-solving, and delivering measurable business outcomes.
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, Data Science, or a related field; advanced degree is an advantage.
- Knowledge of modern DevOps practices, CI/CD pipelines, and monitoring for AI-driven systems is highly beneficial.
- Comfort working on-site in Greater London and collaborating within multidisciplinary teams in a fast-paced environment.
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