Senior AI Architect

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November 25

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Dev.Pro

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B2B • Fintech • SaaS

Dev. Pro is a software development partner that supports technology companies with custom outsourced software development services. With over 13 years of experience, a team of more than 900 experts, and operations in over 50 countries, Dev. Pro provides a comprehensive range of services including cloud development, DevOps, software testing and QA, system integration, and application security. The company caters to a wide array of industries such as digital commerce, fintech, hospitality, and healthcare by delivering tailored software development experiences. Dev. Pro emphasizes quality, innovation, and a transparent collaboration process to accelerate growth for ambitious startups and Fortune 500 enterprises alike, ensuring successful outcomes through a well-balanced and efficient team approach.

501 - 1000 employees

Founded 2011

🤝 B2B

💳 Fintech

☁️ SaaS

📋 Description

• 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

🎯 Requirements

• 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