Enterprise AI Architect / Lead AI Solutions Engineer

Quick Facts

• Role: Enterprise AI Architect / Lead AI Solutions Engineer

• Focus: Enterprise AI solutions (build and development of LLM/agentic systems)

• Work style: Full remote (100%)

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

• Hiring process: 2 remote meetings (business/soft skills + technical interview)

Description

You will lead the architecture and development of enterprise AI solutions, working directly with senior business stakeholders and domain experts to identify processes worth automating and to propose solution scope, approach, effort, and impact. This is a hands-on role where you design, build, test, and maintain reusable AI components, including an evaluation layer (golden cases, acceptance criteria, regression checks) and debugging of AI agent behavior. You will also support presales/scoping and integrate AI with platforms and data sources.

Responsibilities

• Partner with senior business stakeholders and domain experts

• Identify automation opportunities

• Select tools/platforms and define solution approaches

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

• Presales and collaboration with decision-makers

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

• Write and review production-quality code

• Build evaluation layer: golden cases, acceptance criteria, regression checks

• Debug agent behavior

• Integrate with platforms and data sources

• Run user pilots and iteratively improve solutions

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

• Track AI tooling evolution and adopt appropriate solutions

Requirements

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

• Hands-on coding and code review experience

• Architecture experience for real systems (modules, integrations, reuse, versioning, NFRs)

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

• Real LLM systems deployed for users (not only prototypes)

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

• Ability to evaluate when AI is the right choice vs conventional solutions

• Experience evaluating and improving nondeterministic AI systems

• Client-facing experience with senior business stakeholders

• Presales experience: shaping, scoping, estimating, and presenting solutions

• Ability to communicate technical solutions and trade-offs to non-technical people

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

• English C1

Benefits

• Full freedom to work remotely (100%)

• Long-term, stable employment

• Opportunity to work on key projects for a large, stable organization

• Attractive compensation aligned with skills and experience

• Benefits package (Lux Med, MultiSport)