AI Solution Architect

• We will be the technical lead on customer engagements, owning the solution end to end and guiding a team of Forward Deployed Engineers to deliver it.
• We will work directly with customers and senior stakeholders to understand business problems and desired outcomes, and agree architectural principles and strategic direction.
• We will oversee the deployment, configuration, and integration of our products within customer environments, and resolve technical challenges that arise during rollout.
• We will provide technical direction, support, and line management to a team of Forward Deployed Engineers, helping them make the right decisions and grow.
• We will gather user feedback and translate customer needs into product improvements, working closely with our Product and Engineering teams.
• We will create reusable deployment patterns and implementation assets that make each engagement faster and better than the last.
• We will support customer adoption and value-realisation activities so customers get real, lasting value from AI in their day-to-day work.
• We will stay current with developments in AI, Microsoft technologies, and the Actonomy platform, and share that knowledge with our team and customers.

Technologies:

• Agentic AI
• AI
• Architect
• Azure
• Cloud
• Support
• PaaS
• Python
• RAG
• React

More:

We are partnering directly with Kainos to hire for this role. Kainos is a people-first company of problem solvers, innovators, and collaborators, focused on creating real impact through digital services, Workday solutions, and technology. This role sits within Actonomy, a Kainos team developing innovative AI products on the Azure stack. As an AI Solution Architect, we lead customer-facing Frontier AI projects, combine engineering, consulting, and product thinking, and work closely with customers, Product, and Engineering teams. We offer a diverse, ambitious culture built on collaboration, continuous learning, doing the right thing, and strong values around determination, honesty, respect, creativity, and cooperation. We are committed to diversity, equity, and inclusion, and we support candidates who may need accommodations or adjustments during the recruitment process.

• We require proven experience leading the delivery of production AI solutions across different sizes and shapes of challenge, such as an AI service, a multi-team programme, a customer platform deployment, or a complex integration.
• We require experience acting as the technical lead on customer-facing projects, ideally deploying software products or platforms within customer environments.
• We require significant hands-on experience with Python and public cloud platforms, particularly Azure, including SaaS and PaaS offerings.
• We require hands-on experience building and deploying modern AI, including large language models and agentic AI, covering prompt engineering, RAG, tool and function calling, and orchestration, on the Microsoft AI stack such as Azure OpenAI, Azure AI Foundry, and Azure AI services.
• We require proven experience of technical ownership for an AI product or software project, including architecture, estimation, product planning, and user story or requirement creation.
• We require the ability to understand whole-solution architecture and communicate and negotiate it with senior and C-level stakeholders, including the commercial implications of design decisions.
• We require the ability to simplify and clearly communicate AI design in conversation, documentation, and presentations to non-engineers.
• We require comfort working directly with customers and users, developing relationships, and supporting account management.
• We require experience integrating products or solutions with customer systems and data sources and resolving technical issues during implementation and rollout.
• We require the ability to prioritise across multiple major projects, particularly when working to deadlines.
• We require a demonstrated ability in managing, mentoring, coaching, and developing members of your team and the wider community, including managing a small number of staff.
• Desirable: experience with React or similar technologies.
• Desirable: familiarity with the Microsoft agent ecosystem.
• Desirable: experience creating reusable deployment patterns and implementation assets.
• Desirable: experience working in consulting, customer-facing, or delivery roles.
• Desirable: awareness of responsible AI and AI evaluation practices.
• Desirable: active participation in technology communities and knowledge sharing, internally and externally.