Remote Enterprise Data & AI Solutions Architect

Ladders; United States; Remote; USD 180,000 - 248,000; Full time

Benefits offered by this job

Annual bonus eligibility

Equity options

Professional development support

Flexible work arrangements

Job summary

Ladders is seeking a Solutions Architect - Retail to join a client’s team, shaping scalable data and AI solutions for enterprise customers. You will partner with customer technical leaders to translate business needs into sound technical strategy and measurable outcomes, guiding from discovery through deployment.

This senior role requires hands-on leadership in data engineering and ML/AI architectures, strong coding in Python/SQL, and proven ability to drive technical wins with cross-functional

Qualifications

• 6+ years in solutions architecture, data engineering, or a senior technical role.
• Live coding experience in Python or similar languages.
• Experience with distributed data systems and scalable pipelines.
• Proficiency with a leading data/analytics platform and architectural specialization.
• Ability to lead architecture discussions with senior stakeholders.
• Experience deploying in AWS, Azure, or GCP; strong communication skills.

Responsibilities

• Own the technical strategy for customer accounts from discovery to deployment.
• Lead architecture discussions for scalable data/ML/AI solutions.
• Serve as a trusted advisor to customer technical leads and architects.
• Drive technical wins by showcasing company solutions and value.
• Develop technical specialization and mentor teammates.
• Coordinate cross-functional teams to deliver end-to-end solutions.
• Influence product direction by translating customer needs into requirements.

Skills

Solutions architecture

Python

SQL

Distributed data systems

Cloud platforms

Leadership

Education

Bachelor's or Master's in CS/Engineering

Job description

Ladders is seeking a Solutions Architect - Retail to join a client’s team, shaping scalable data and AI solutions for enterprise customers. You will partner with customer technical leaders to translate business needs into sound technical strategy and measurable outcomes, guiding from discovery through deployment.

This senior role requires hands-on leadership in data engineering and ML/AI architectures, strong coding in Python/SQL, and proven ability to drive technical wins with cross-functional