remote
Technical Architect - GenAI - Quest Global
AI Engineer
Lead the design and delivery of generative AI solutions, architecting scalable, cloud‑native pipelines that integrate advanced NLP and ML models with enterprise systems.
About the role
Key Responsibilities
- Architect end‑to‑end GenAI solutions, defining data flows, model deployment strategies, and integration points with existing enterprise platforms.
- Collaborate with data scientists, product managers, and DevOps to translate business requirements into scalable, cloud‑native architectures.
- Design and implement robust ML Ops pipelines, ensuring reproducibility, monitoring, and continuous delivery of AI models.
- Evaluate and select appropriate generative models (e.g., GPT, LLaMA, Stable Diffusion) and fine‑tune them for domain‑specific use cases.
- Lead technical workshops, provide mentorship, and drive best practices for AI governance, security, and compliance.
Requirements
- 10–12 years of experience in software architecture, with a strong focus on AI/ML and cloud platforms.
- Proficiency in Python, Docker, and Kubernetes for model deployment.
- Hands‑on experience with generative AI frameworks and large language models.
- Deep understanding of NLP techniques, data pipelines, and model evaluation metrics.
- Excellent communication skills and a proven ability to translate complex technical concepts to non‑technical stakeholders.
Skills
pythonmachine learninggenerative ainlpdocker