
AI Solution Architect
Posted Sep 4

Posted Sep 4
This is a fully remote position, open to applicants in United Kingdom.
• Take the lead on Frontier AI projects as the technical authority during customer engagements, managing solutions from inception to completion.
• Provide guidance to Forward Deployed Engineers in executing customer solutions.
• Collaborate closely with clients and senior stakeholders to grasp business challenges and desired outcomes.
• Establish architectural principles and define strategic direction.
• Supervise the deployment, configuration, and integration of Actonomy products within client environments.
• Address technical challenges that arise during the implementation phase.
• Offer technical guidance, support, and line management to Forward Deployed Engineers.
• Collect user feedback and convert customer requirements into product enhancements in collaboration with Product and Engineering teams.
• Develop reusable deployment methodologies and implementation assets.
• Assist in customer adoption and value realization initiatives.
• Keep abreast of advancements in AI, Microsoft technologies, and the Actonomy platform.
• Share expertise with team members and clients.
• Cultivate customer relationships and aid in account management.
• Manage, coach, and develop team members with a focus on performance and career progression.
• Demonstrated experience in leading the delivery of production AI solutions across a variety of challenges and project scopes.
• Experience serving as the technical lead on customer-centric projects, preferably involving the deployment of software products or platforms in client settings.
• Extensive hands-on experience with Python and public cloud infrastructures, particularly Azure, encompassing SaaS and PaaS offerings.
• Practical experience with contemporary AI, including large language models and agentic AI: prompt engineering, RAG, tool and function calling, and orchestration.
• Familiarity with the Microsoft AI stack, which includes Azure OpenAI, Azure AI Foundry, and Azure AI services.
• Proven ownership of AI products or software projects, covering aspects such as architecture, estimation, product planning, and user story/requirement development.
• Capability to comprehend a holistic solution architecture and effectively communicate and negotiate it with senior and C-level stakeholders, including commercial aspects.
• Proficiency in articulating AI design clearly in discussions, documentation, and presentations aimed at non-engineers.
• Comfortable engaging directly with clients and users, fostering relationships, and assisting in account management.
• Experience in integrating products or solutions with customer systems and data sources, resolving technical issues during the implementation process.
• Ability to prioritize effectively across multiple significant projects and deadlines.
• Proven track record in managing, mentoring, coaching, and developing team members and the broader community, including overseeing a small team.
• Experience with React or similar technologies.
• Familiarity with the Microsoft agent ecosystem.
• Experience in creating reusable deployment methodologies and implementation assets.
• Background in consulting, customer-facing, or delivery roles.
• Awareness of responsible AI and AI evaluation practices.
• Active involvement in technology communities and knowledge sharing, both internally and externally.
• People-first culture.
• Support for growth and career development.
• A diverse and inclusive workplace.
• Opportunities for continuous learning.
• Recruitment accommodations and adjustments.
• Customized support throughout the recruitment process.
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