AI Architect / Senior AI Engineer
Role summary by JobGrid
AI Architect / Senior AI Engineer at Plain Concepts: Remote, Spain; Full time; IT; Solutions / Architecture. This listing is part of JobGrid's Remote AI jobs from public company career pages. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remote, Spain
- Role classification: IT, Solutions / Architecture, Full time
- Source freshness: checked by JobGrid on 2026-05-30.
- Application path: candidates continue to the employer application page with non-personal referral tags.
🚀 We’re Growing Our AI Dream Team!
Titles? Meh, we’re not big on them, but internally, let’s call this one Data Scientist like the other colleagues at the team 😉 but a little bit more expertise.
We’re expanding our AI/ML team with a senior-level engineer ready to lead strategic initiatives. This role is ideal for someone with deep technical expertise and a passion for building impactful solutions. You’ll be part of a multidisciplinary team, driving innovation and delivering high-quality AI systems.
Here’s the deal:
- You’ll tackle the unique challenges of AI-powered software alongside a team of brilliant minds.
- You’ll dive into cutting-edge projects using the latest tech to push boundaries and make an impact.
- Whether you prefer working from home or vibing with us at our offices, the choice is yours.
- AGILE isn’t just a buzzword here — it’s how we roll. Multidisciplinary teams? Check. Full ownership of projects? Double check.
Ready to take on projects that matter, with a team that’s as passionate as you are? Let’s make it happen! 😊
You will be responsible for:
- Architect and develop end-to-end AI/ML solutions tailored to complex business challenges.
- Leading client engagements from initial contact through project scoping and proposal development.
- Lead technical design and implementation of production-grade models and pipelines.
- Own the deployment, optimization, and monitoring of models and infrastructure (MLOps).
- Collaborate across teams to ensure technical excellence and project success.
- Mentor peers and contribute to knowledge-sharing across the organization.
- Driving sales strategies and achieving revenue targets.
- Building long-term relationships with clients and partners.