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Management Solutions, S.L
Senior AI Architect
Job summary
A global software development company is seeking an experienced AI / Data Architect to lead the design of AI-powered pipelines on GCP. The role involves creating scalable systems to analyze large image datasets, leveraging expertise in AI/ML and GCP services. Ideal candidates should have strong communication skills and experience in cloud architecture. This position offers opportunities for impactful work in a collaborative environment.
Benefits
Qualifications
- 4+ years of hands-on experience in AI/ML, data engineering, or cloud architecture.
- Strong expertise with GCP services including Cloud Run, GKE, and BigQuery.
- Ability to design distributed systems and production-grade pipelines.
Responsibilities
- Lead architecture for AI-driven image analysis pipelines using Google Gemini and GCP.
- Design pipelines for ingestion, processing, metadata generation, and output.
- Collaborate with data teams to optimize large image and media catalogs.
Skills
Tools
We are a US-based outsource software development company that has been delivering exceptional software experience to our clients since 2011, helping technology companies to become industry leaders.
Over the past few years, we’ve been hiring specialists all over the world while our main development centers were in Ukraine. Now, we keep expanding and start growing our centers in different parts of the world. Dev.Pro is open to hire specialists from other countries as well as Ukrainians who live outside of Ukraine now. We stand with Ukraine and keep supporting our people by offering a friendly remote environment while adhering to the values of democracy, human rights, and state sovereignty.
As a company of professionals, Dev.Pro offers challenging and interesting projects with world-leading clients, a modern technology stack, and career opportunities for both technical and non-technical specialists.
We invite a highly skilled AI / Data Architect to join our team and lead the design of our end-to-end AI system on GCP. In this role, you’ll architect and oversee the pipelines that ingest, process, and analyze large volumes of image data. You’ll leverage your expertise in application architecture, scalable infrastructure, data engineering, and applied ML to deliver reliable, production-ready AI solutions.
- Architect mission‑critical AI pipelines that transform massive image datasets into actionable insights for real‑world applications
- Leverage Google Gemini and Vertex AI to create scalable, production‑ready AI solutions
- Influence technical direction and collaborate with a fast‑moving, innovative team to deliver impactful solutions
- 4+ years of hands‑on experience in AI/ML, data engineering, or cloud architecture
- Strong expertise with GCP services (Cloud Run, GKE, Pub/Sub, Cloud Functions, Cloud Storage, BigQuery, Vertex AI)
- Familiarity with Google Gemini APIs, preferably Gemini 2.5 Pro
- Ability to design distributed systems and production‑grade pipelines
- Background in application & infrastructure architecture
- Python programming and Docker/orchestration experience
- Strong communication skills and flexibility to align with U.S. time zones
- Ability to translate architecture into delivery roadmaps
- Experience with Media & Entertainment workflows (image/video pipelines, DAM, content tagging)
- DevOps/MLOps knowledge, including CI/CD and observability
- Familiarity with AI Factory or repeatable AI workflow models
In this role, you’ll lead the design and development of AI-powered pipelines on GCP, creating scalable systems that analyze large image datasets for Media & Entertainment applications.
- Lead architecture for AI‑driven image analysis pipelines using Google Gemini and GCP
- Design pipelines for ingestion, processing, metadata generation, and output
- Build scalable GCP infrastructure (Cloud Run, GKE, Pub/Sub, Cloud Functions, Cloud Storage, BigQuery, Vertex AI, and Gemini APIs)
- Establish orchestration patterns, prompt engineering, and evaluation frameworks
- Collaborate with data teams to optimize large image and media catalogs
- Define DevOps/MLOps standards, CI/CD processes, and observability practices
- Translate architectural plans into 12-15 week delivery roadmaps
- Support scaling into a repeatable AI Factory model
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.