Enterprise AI Architect

Job not on LinkedIn

🔥 2 hours ago

🇵🇹 Portugal – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bonapolia

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Bonapolia is a recruitment and talent-matching firm focused on connecting candidates with technology and engineering roles through a candidate-centric, client-partner approach. The company operates a global, largely remote job marketplace and offers career counseling, interview coordination, and relocation support (notably to Portugal) while building long-term relationships with clients to deliver hired talent efficiently. Bonapolia emphasizes scalable boutique recruitment services, training support for employees, and a streamlined application/connect process for job seekers.

📋 Description

• Work with senior business stakeholders and domain experts to define objectives, constraints, and expected outcomes • Identify which processes are worth automating and which are not • Select tools, platforms, and approaches for business problems and defend the choices to technical and business leadership • Shape and present solution proposals covering scope, approach, effort, and expected impact • Own outcomes with a product mindset, including adoption, measurable time saved, and reliability for real users • Own the technical shape of the enterprise AI capability, including standards, shared components, evaluation, release strategy, and backwards compatibility • Define standards for well-formed skills, shared infrastructure, and review rejection criteria • Make and justify platform-level decisions involving agent harnesses, integration architecture, and build-versus-adopt choices • Apply judgement on data handling, security, and compliance for sensitive HR and compensation data • Provide technical leadership, review, direction, and unblocking to two Lead AI Solutions Engineers • Design, build, test, and maintain reusable AI skills, including instructions, scripts, validation logic, reference data, and shared components • Write and review production-quality code through review, CI, and release • Build the evaluation layer with golden cases, acceptance criteria, and regression checks • Debug agent behaviour and fix root causes • Integrate with the client’s platforms and data sources • Run pilots with real users, collect structured feedback, and ship improved versions • Set and enforce standards for authoring, reviewing, versioning, and releasing skills • Track developments in AI tooling and introduce relevant capabilities into the engagement

🎯 Requirements

• Architect-level experience with proven ownership of real systems, including module boundaries, reuse, versioning, integration, and non-functional requirements • Currently writing and reviewing production code • Strong engineering foundation in at least one modern stack; TypeScript / Node.js is a plus, and Python, Java, or .NET backgrounds are welcome • Solid engineering practice with version control, code review, automated testing, and CI/CD • Experience shipping real LLM-backed systems to real users, not just prototypes • Broad hands-on knowledge of the current AI tooling landscape, not tied to a single vendor • Working command of agentic patterns: tool use/function calling, MCP, prompt and context engineering, and orchestration • Experience evaluating non-deterministic systems with test sets and measurable acceptance criteria • Judgement on where AI fits and where conventional software is the better answer • Direct experience with external clients and senior business stakeholders, including CTO-level conversations • Presales experience: shaping, scoping, estimating, and pitching solutions • Ability to turn ambiguous requirements into a clear design and work without a full specification • English C1 • Sustained working-hours overlap with US / Western Europe