Enterprise AI Architect

Posted 3 days ago

This is a fully remote position, open to applicants in Poland, +6 more countries.

📋 Description

• Define the technical architecture of the complete AI capability, encompassing standards, shared components, and strategies for evaluation and release.

• Collaborate with senior business stakeholders and domain experts to set objectives, constraints, and anticipated outcomes.

• Identify processes that are suitable for automation and select and justify the appropriate tools, platforms, and methodologies.

• Develop and present solution proposals detailing the scope, approach, effort, and expected impact.

• Take ownership of outcomes, including user adoption, measurable time savings, and reliability for end users.

• Design, build, test, and maintain reusable AI skills, including supporting scripts, validation logic, reference data, and shared components.

• Write and review production-quality code through review processes, continuous integration, and release management.

• Create the evaluation framework with golden cases, acceptance criteria, and regression testing.

• Diagnose agent behavior issues and resolve root causes.

• Integrate with client platforms and data sources.

• Conduct pilots with actual consultants, gather structured feedback, and implement improvements.

• Establish and enforce standards for authoring, reviewing, versioning, and releasing AI skills.

• Monitor advancements in AI tooling and introduce relevant capabilities into the engagement process.

• Provide technical leadership, guidance, and assistance to two engineers.

• Engage in presales activities.


⛳️ Requirements

• Proven experience in architectural ownership of real systems, including module boundaries, reuse, versioning, integration, and non-functional constraints.

• Practical experience in building, reviewing, testing, and maintaining production-quality solutions.

• Strong engineering foundation in at least one modern technology stack.

• Proficiency in TypeScript / Node.js (NestJS, Angular) is beneficial but not mandatory; backgrounds in Python, Java, or .NET are acceptable with a solid understanding of modern AI tooling.

• Professional experience with version control, code review, automated testing, and CI/CD practices.

• Practical experience with contemporary AI tools and platforms.

• Experience in delivering real LLM-backed systems to actual users.

• Familiarity with agentic patterns, including tool usage/function calling, MCP, prompt engineering, context engineering, structured instruction design, and orchestration.

• Experience in evaluating and enhancing non-deterministic systems using test sets, measurable acceptance criteria, and results-oriented iteration.

• Capability to make and defend platform-level decisions, including agent harnesses, integration architecture, and the choice between building or adopting solutions.

• Sound judgment regarding data management, security, and compliance for sensitive HR and compensation data.

• Credibility with clients' CTOs, enterprise architects, and senior business leaders.

• Ability to articulate technical strategies and trade-offs to non-technical stakeholders.

• Presales skills, including solution shaping, scoping, estimation, and presentation to decision-makers.

• Skill in transforming ambiguous business requirements and implicit domain knowledge into clear designs and actionable workflows.

• Comfort working without a detailed specification and asking questions to bridge gaps.

• Proficiency in English at the C1 level.

• Willingness to maintain overlapping working hours with clients in the US / Western Europe.


🏝️ Benefits

• B2B contract with Bonapolia.

• Monthly invoicing with payments aligned to the schedule Bonapolia receives payments from clients (typically 30 days).

• Contract governed by the laws of the candidate's country.

• Bonapolia manages client-side paperwork, including MSA, NDA, and invoicing.

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