AI Solution Architect

Description :

Requirements :

Position : Solution Architect - AI

Experience : 10+ Years

Location : Remote

Job Summary :

We are looking for a highly experienced AI Solution Architect with a strong background in AI/ML engineering, distributed computing, and cloud-native architectures. The ideal candidate will design and deliver scalable AI-driven solutions, leveraging modern cloud infrastructure, Kubernetes orchestration, and big data frameworks.

Key Responsibilities :

- Architect, design, and implement scalable AI/ML solutions leveraging cloud-native platforms.

- Lead end-to-end solution design for AI systemsfrom data ingestion to model deployment and monitoring.

- Collaborate with data scientists, ML engineers, and DevOps teams to ensure production-grade scalability and reliability.

- Optimize performance and cost efficiency of distributed AI workloads on cloud and containerized environments.

- Evaluate and integrate AI platforms such as NVIDIA AI Enterprise or PCAI for model training and inference.

- Provide architectural guidance and best practices for data processing, feature engineering, and model lifecycle management.

- Stay updated with advancements in AI infrastructure, distributed training, and MLOps technologies.

Required Skills & Experience :

- 10+ years overall experience in software architecture and engineering.

- 4+ years of hands-on experience in AI/ML engineering, including model development, deployment, and optimization.

- 4+ years of expertise in Kubernetes and container orchestration for scalable AI/ML workloads.

- 4+ years of experience in Big Data and Distributed Computing (Spark, Ray, Dask, Hadoop, etc.).

- Proven experience architecting scalable cloud solutions (AWS, Azure, or GCP).

- Strong understanding of MLOps, CI/CD for ML, and AI infrastructure automation.

- Excellent communication and leadership skills to guide cross-functional teams.

Good to Have :

- PCAI / NVIDIA AI Enterprise experience (6+ months).

- Familiarity with GPU acceleration, CUDA, and deep learning frameworks (TensorFlow, PyTorch).

- Certification in AI, Cloud Architecture, or Kubernetes (CKA/CKAD).