Senior Solutions Architect, Retail

Ladders; United States; Remote; USD 184,000 - 357,000; Full time

Benefits offered by this job

Access to equity options

Comprehensive benefits package

Professional development and technical

Job summary

Ladders is seeking a Senior Solutions Architect, Retail, to guide enterprise customers in designing and deploying advanced AI for retail. This remote US-based role focuses on agentic and generative AI architectures, translating needs into reference designs, proofs of concept, and deployment guidance.

You'll partner with engineering teams and vendors to scale and realize impact across platforms. Responsibilities include building multi-agent systems, developing retrieval pipelines, optimizing

Qualifications

• BS/MS/PhD in CS/EE/AI or equivalent experience.
• 8+ years in deep learning, ML, or distributed AI systems.
• Strong Python, C/C++, Linux programming and debugging skills.
• Experience with PyTorch or TensorFlow libraries.
• Hands-on experience building LLM/generative AI applications.
• Familiarity with LangGraph or LangChain frameworks.
• Ability to prototype AI apps and build scalable GPU-accelerated architectures.

Responsibilities

• Build complex agentic systems enabling multi-agent coordination and planning.
• Develop enterprise agents and high-performance retrieval pipelines from multiple data sources.
• Optimize inference performance using AI infrastructure and GPU frameworks.
• Create proofs of concept and reference architectures for generative AI pipelines.
• Collaborate with vendors to integrate AI software into platforms.
• Work with internal teams to incorporate real-world feedback into software.
• Lead technical workshops and architecture reviews for partner teams.
• Create reusable documentation to deploy agentic AI at scale.

Skills

Python

C/C++

Linux

PyTorch

TensorFlow

LLM / Generative AI

LangGraph

LangChain

GPU-accelerated architectures

Education

BS/MS/PhD in CS/EE/AI

Job description

For our client, we are seeking a Senior Solutions Architect, Retail to join the team of a leader in the Telecommunications & Hardware space.

In this remote role, you will guide enterprise customers and partners in designing and scaling advanced AI solutions for retail use cases. You will focus on agentic and generative AI architectures, helping translate complex technical needs into practical reference designs, proofs of concept, and deployment guidance. This position partners closely with internal engineering teams and external software vendors to drive adoption, improve technical outcomes, and support real-world implementation at scale.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $184,000 - $356,500 annually

Responsibilities

• Build complex agentic systems that enable multi-agent coordination and advanced planning.
• Develop enterprise agents and high-performance retrieval pipelines using multiple data sources.
• Optimize inference performance using AI infrastructure and GPU-accelerated frameworks.
• Create hands-on proofs of concept and reference architectures for generative AI pipelines.
• Collaborate with enterprise software vendors to integrate AI software into existing platforms.
• Work with internal teams to enhance software based on real-world feedback.
• Conduct technical workshops and architecture reviews for partner engineering teams.
• Create reusable documentation to help deploy agentic AI at scale.

Qualifications

• BS, MS, or PhD in Computer Science, Electrical Engineering, AI/ML, or equivalent experience.
• 8+ years of experience in deep learning, machine learning, or distributed AI systems.
• Strong programming and debugging experience in Python, C/C++, and Linux environments.
• Experience with deep learning libraries such as PyTorch or TensorFlow.
• Hands-on experience building LLM and generative AI applications.
• Familiarity with multi-agent AI systems frameworks such as LangGraph or LangChain.
• Ability to prototype AI applications and build scalable GPU-accelerated architectures.

Benefits

• Access to equity options.
• Eligible for a comprehensive benefits package.
• Opportunities for professional development and technical training through workshops.

Our client is an equal opportunity employer. We encourage you to apply even if you don't meet every qualification-your background could be exactly what this team needs.