Hybrid AI Solutions Architect — Cloud & Data Platforms

Placements24; United States; Hybrid; USD 103,000 - 165,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Placements24 is seeking an AI Solutions Architect to design and implement scalable AI solutions on cloud platforms. This role bridges business needs and technical execution, delivering robust, future-proof AI capabilities in a hybrid, in-office/remote setup.

You will work with AWS, Azure, and GCP, define data pipelines, model deployment, and infrastructure, while leading teams and staying ahead of AI trends. Bachelor's or Master’s in CS/Engineering preferred.

Qualifications

• Bachelor's or Master's degree in CS, Engineering, or related field.
• Proven experience as a Solutions Architect or Senior Engineer in AI/ML and cloud.
• Strong knowledge of at least one major cloud provider and their AI/ML services.
• Experience with data architecture, data warehouses, data lakes, and big data technologies.
• Proficiency in Python and ML frameworks.

Responsibilities

• Design end-to-end AI/ML solutions on cloud platforms and data pipelines.
• Translate business challenges into technical AI requirements.
• Define architectures including deployment strategies and infra needs.
• Provide technical leadership to development teams.
• Evaluate AI/ML services and technologies.
• Ensure solutions are scalable, secure, and cost-efficient.
• Develop proofs of concept to validate approaches.
• Stay updated on cloud AI trends and data platforms.

Skills

Python programming

ML frameworks

Cloud platforms

Data architecture

MLOps

Communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Cloud AI services

Job description

Placements24 is seeking an AI Solutions Architect to design and implement scalable AI solutions on cloud platforms. This role bridges business needs and technical execution, delivering robust, future-proof AI capabilities in a hybrid, in-office/remote setup.

You will work with AWS, Azure, and GCP, define data pipelines, model deployment, and infrastructure, while leading teams and staying ahead of AI trends. Bachelor's or Master’s in CS/Engineering preferred.