AI Engineer, Healthcare

Job not on LinkedIn

🔥 13 hours ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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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Grupo Protege

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1971

🤖 Artificial Intelligence

🤝 B2B

☁️ SaaS

Artificial Intelligence • B2B • SaaS

Grupo Protege is an AI training data platform that connects AI developers with high-quality, ethically sourced training data. It serves both AI developers by providing a vast and rich collection of data for model training and data holders by enabling them to monetize their data while maintaining governance and control. The platform aims to streamline the data procurement process significantly, making it easier for developers to access the data they need efficiently.

📋 Description

• Lead customer-facing technical work from initial scoping through implementation, delivery, and post-delivery support • Become the primary technical partner for assigned healthcare customers • Build trusted relationships with customer engineering and technical teams • Manage multiple concurrent healthcare engagements while maintaining delivery quality and customer confidence • Develop and deploy integrations, data transformations, and applications for customer-specific challenges • Navigate customer technical environments and adapt Protege’s platform to real-world deployment constraints • Translate ambiguous customer needs into technical plans, milestones, and implementation paths • Identify repeatable product opportunities from customer-specific work • Surface product feedback based on implementation patterns, customer pain points, and delivery blockers • Partner with product and engineering to turn bespoke solutions into reusable platform capabilities • Handle healthcare data environments, including PHI and regulatory considerations • Communicate tradeoffs, risks, dependencies, and implementation choices • Contribute playbooks, tooling, templates, and best practices • Document repeatable patterns and lessons from customer engagements • Turn one-off implementation work into reusable delivery assets

🎯 Requirements

• Experience in software engineering, solution architecture, forward deployed engineering, technical implementation, or a similar customer-facing technical role • Ability to own customer engagements from scoping through delivery and support • Strong technical execution across custom solutions, integrations, data transformations, and/or applications • Comfort operating in healthcare data environments, including sensitivity to PHI and regulatory considerations • Strong customer-facing communication and ability to build trust with technical stakeholders • Ability to bridge customer needs with product and platform capabilities • High ownership, adaptability, and comfort operating in ambiguous, fast-moving environments • Bias toward creating reusable systems, playbooks, tooling, and best practices • Availability outside standard hours when deals are live