Principal AI Solutions Architect
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Summary
Principal-level, hands-on Enterprise AI Architect designing and delivering enterprise-grade, LLM-powered AI solutions (agents, MCP, orchestration) for a large business transformation initiative. Combines software/AI architecture, technical leadership of engineers, and client-facing consulting including presales, working with US and Western Europe clients.
Project Description
We are looking for an experienced Enterprise AI Architect to lead the design and development of enterprise-grade AI solutions for a large-scale business transformation initiative.
The role combines enterprise architecture, hands-on AI engineering, technical leadership, and client-facing consulting. You will be responsible for defining the technical architecture, designing scalable and reusable AI capabilities, and ensuring their successful implementation in real business environments.
You will work directly with senior business stakeholders, technical leadership, and domain experts to identify opportunities for AI adoption, translate business challenges into technical solutions, and drive projects from initial concept and presales through implementation and continuous improvement.
This is a highly technical, hands-on role requiring extensive experience in AI engineering and software architecture, as well as the ability to communicate complex technical concepts to non-technical stakeholders.
You will also provide technical leadership to a team of engineers, establish engineering standards, and make strategic decisions regarding AI platforms, tools, and integration approaches.
Requirements
Architecture & Software Engineering
- Extensive experience in enterprise software architecture, AI solution architecture, or a similar senior technical leadership role.
- Proven track record of designing and owning complex, production-grade software systems, including architecture, integrations, reusable components, and non-functional requirements.
- Strong software engineering background and the ability to actively design, develop, test, review, and maintain production-quality code.
- Experience with modern software engineering practices, including version control, code reviews, automated testing, and CI/CD.
- Strong technical foundation in at least one modern programming ecosystem, such as TypeScript/Node.js, Python, Java, or .NET.
- Experience designing scalable, maintainable, and reusable software architectures.
- Knowledge of TypeScript and Node.js is an advantage but is not mandatory.
AI Engineering & Technology
- Extensive hands-on experience with modern AI technologies, platforms, and tools, with a broad understanding of the current AI ecosystem.
- Proven experience designing, building, and deploying LLM-powered solutions used in real production environments.
- Strong understanding of agentic AI architectures and patterns, including:
- AI agents and tool use/function calling.
- Model Context Protocol (MCP).
- Prompt engineering and context engineering.
- Structured instruction design.
- Agent orchestration and workflow automation.
- Experience evaluating, selecting, and integrating AI platforms and tools based on specific business and technical requirements.
- Practical experience building evaluation frameworks for AI systems, including test cases, measurable acceptance criteria, and regression testing.
- Ability to troubleshoot AI-powered workflows and systematically improve the reliability and quality of non-deterministic outputs.
- Strong understanding of when AI is appropriate and when conventional software engineering is a more suitable solution.
Enterprise Architecture, Security & Compliance
- Experience defining architecture standards, reusable components, and engineering practices across multiple projects or teams.
- Ability to make strategic technology decisions and evaluate the trade-offs between different platforms and architectural approaches.
- Understanding of enterprise security, data protection, and compliance requirements.
- Experience working with sensitive business data is highly desirable.
Consulting & Stakeholder Management
- Proven experience working directly with external clients, senior executives, and business stakeholders.
- Strong consulting and presales background, including solution design, project scoping, effort estimation, and presenting technical proposals.
- Ability to translate complex and ambiguous business requirements into clear technical architectures and executable implementation plans.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- A product-oriented mindset, focusing on business value, user adoption, and measurable outcomes rather than technology alone.
- Ability to work independently in environments with evolving requirements and limited initial specifications.
Leadership & Communication
- Proven experience providing technical leadership to engineering teams, including architectural guidance, code reviews, and technical decision-making.
- Ability to influence technical direction and establish engineering standards.
- Excellent problem-solving and decision-making skills.
- English proficiency at C1 level or higher, with the ability to independently lead technical and business discussions with international clients.
- Availability to work in alignment with the client's business hours in the US and Western Europe.
- Willingness to remain actively involved in software development rather than focusing exclusively on management or documentation.