Enterprise AI Architect / Lead AI Solutions Engineer

Quick Facts

• Role: Enterprise AI Architect / Lead AI Solutions Engineer

• Work model: 100% remote

• Work type: Full-time

• Rate: 200–220 PLN/h (via FVM)

• Team: 1x Enterprise AI Architect + 2x Lead AI Solutions Engineers

• Recruitment: 2 remote interviews (business/soft skills + technical)

• Project: Enterprise AI—build and develop AI solutions (long-term/ongoing)

Description

You will lead the architecture and delivery of enterprise AI capabilities, partnering directly with senior business stakeholders and domain experts. The role combines hands-on development (code, reviews, testing) with evaluation, debugging, integrations, and user pilots. You will also define and enforce standards for reusable AI skills across the platform.

Responsibilities

• Collaborate with senior business stakeholders to identify processes suitable for automation

• Select tools, platforms, and approaches for business problems

• Prepare and present solution proposals (scope, approach, effort, impact)

• Participate in presales and work with decision-makers

• Design, build, test, and maintain reusable AI skills

• Write and review production-quality code

• Build an evaluation layer (golden cases, acceptance criteria, regression checks)

• Debug agent behavior

• Integrate with data platforms and data sources

• Run user pilots and iteratively improve solutions

• Define and enforce standards for AI skill creation, review, versioning, and releases

• Monitor AI tooling evolution and implement suitable improvements

Requirements

• Architect/Principal/Lead experience (not execution-only)

• Hands-on coding and code review experience

• Experience architecting real systems: modules, integrations, reuse, versioning, NFRs

• Strong engineering fundamentals with Git, code review, automated testing, and CI/CD

• Production experience with LLM systems implemented for users (not only prototypes)

• Knowledge of agentic patterns: tool use/function calling, MCP, prompt engineering, context engineering, orchestration

• Ability to assess when AI is appropriate vs. conventional solutions

• Experience evaluating and improving nondeterministic AI systems

• Client-facing experience with senior business stakeholders

• Presales skills: shaping, scoping, estimating, presenting solutions

• Ability to explain technical solutions and trade-offs to non-technical stakeholders

• Ownership of architecture capabilities, standards, shared components, and platform-level decisions, including security/compliance for sensitive HR data

• English level: C1

Benefits

• Full remote freedom (100%)

• Long-term stable employment

• Chance to work on key projects for a large company in a stable sector

• Attractive compensation aligned with skills and experience

• Benefits: Lux Med, MultiSport