GenAI Solution Architect - BytePlus - Turkey Market (Turkish Speaking)

Role overview

Responsibilities

• Partner with regional Sales teams to identify, qualify, and shape Video, Image, and Multimodal GenAI opportunities.
• Translate creative and business requirements into scalable solutions for executive and engineering stakeholders.
• Deliver text, image, and video generation solutions, VLM semantic-analysis workflows, and prompt engineering or chaining.
• Architect production-grade GenAI pipelines using diffusion models, VLMs, LoRA or adapter fine-tuning, ComfyUI, and custom orchestrators.
• Build agentic workflows with intent interpretation, generation and analysis, multi-stage tasks, retries, and human approvals.
• Advise on model trade-offs, cost and latency, IP protection, content safety, and watermarking.
• Own AIGC proof-of-concepts, measure outcomes, incorporate customer feedback into platform requirements, and influence product roadmaps.
• Support post-sales success and upsell advanced capabilities.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience and 5+ years in solutions architecture, pre-sales engineering, or similar customer-facing technical work.
• Hands-on experience delivering image, video, or multimodal GenAI systems in real-world or production environments.
• Strong background in cloud platforms, GPU workloads, and distributed systems.
• Experience supporting enterprise customers across the Middle East and Africa and United States regions.
• Turkish business proficiency is required for managing stakeholders and communicating with clients and partners in Turkey.
• Applicants should be comfortable in fast-moving, ambiguous environments and demonstrate strong technical and business judgment.

Preferred qualifications

• A Computer Science or Engineering degree and deep expertise in diffusion models, VLMs, and prompt engineering or chaining are preferred.
• Experience with agentic GenAI workflows using platforms such as n8n, including tool-calling, function execution, and stateful workflows, is preferred.
• Experience in multi-stage creative workflows, GPU inference optimization, and quality, latency, and cost trade-offs is preferred.
• Customer experience in Media, Entertainment, Advertising, Gaming, Ecommerce, or social platforms is preferred.
• A background in AIGC, VLM, or AI infrastructure solution architecture is preferred.
• Knowledge of public cloud services, GPU compute, CDN edge delivery, and media pipeline security is preferred.

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