Remote AI Solutions Architect - Lead Scalable ML Systems

Placements24; Willows (CA); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive salary

Remote-first culture

Flexible hours

Autonomy

Training opportunities

Job summary

Placements24 is seeking a highly experienced AI Solutions Architect to work remotely, guiding the design and deployment of complex AI/ML solutions for clients, translating business needs into scalable technical architectures.

You will evaluate technologies, lead architecture decisions, collaborate with sales, engineering and product teams to define roadmaps, develop proofs-of-concept, and ensure robust, efficient solutions across diverse projects in a remote-first environment.

Qualifications

• Bachelor's in CS/Engineering; Master's preferred.
• 7+ years in software architecture with AI/ML focus.
• Deep knowledge of AWS, Azure, and GCP AI/ML services.
• Experience with MLOps and data engineering.

Responsibilities

• Design end-to-end AI/ML architectures for cloud and on‑prem deployments.
• Evaluate technologies and platforms for client projects.
• Lead architecture decisions and provide technical guidance.
• Collaborate with sales, engineering, and product teams to define roadmaps.
• Develop proofs-of-concept to validate designs.

Skills

AI/ML architecture

Cloud architectures

Strategic thinking

Stakeholder management

Technical leadership

Education

Bachelor's degree in Computer Science or Engineering

Master's degree preferred

Tools

AWS

Azure

GCP

MLOps

NLP

Computer Vision

Predictive analytics

Job description

Placements24 is seeking a highly experienced AI Solutions Architect to work remotely, guiding the design and deployment of complex AI/ML solutions for clients, translating business needs into scalable technical architectures.

You will evaluate technologies, lead architecture decisions, collaborate with sales, engineering and product teams to define roadmaps, develop proofs-of-concept, and ensure robust, efficient solutions across diverse projects in a remote-first environment.