AI Solution Architect

GeekSoft Consulting • Jersey City, NJ

1d

About The Position

We are seeking an AI Solution Architect to help design, build, and continuously improve our clients' online platform. This role involves researching, suggesting, and implementing new technology solutions following best practices and standards. The successful candidate will take responsibility for the resiliency and availability of different products and be a productive member of the team.

Requirements

• AI Solution Architect with several years of production software engineering experience in Python, TypeScript, Java, or comparable technology stacks.
• Hands-on experience building LLM and agent-based solutions on at least one major AI platform, combined with strong software engineering, integration, and production delivery capabilities.
• Experience taking agentic AI or LLM solutions from prototype through production rollout.
• Strong practices around debugging, testing, integration, and production engineering.

Nice To Haves

• Experience with agent orchestration frameworks, MCP servers, and custom tool integrations.
• Experience with data and retrieval pipelines, workflow automation, or model deployment.
• Experience with AI evaluation, observability, troubleshooting, and release safeguards.
• Vendor certification in a major AI platform such as Anthropic, OpenAI, Google, or Microsoft.

Responsibilities

• Design, build, and continuously improve the clients online platform.
• Research, suggest and implement new technology solutions following best practices/standards.
• Take responsibility for the resiliency and availability of different products.
• Be a productive member of the team.
• Design and develop AI solutions using LLMs and agentic architectures.
• Build production-ready solutions using Python, TypeScript, Java, or comparable technologies.
• Work hands-on with major AI platforms such as Anthropic, OpenAI, Google, or Microsoft.
• Apply agentic patterns including tool use, retrieval, prompting, model behaviour, evaluation, and multi-agent workflows.
• Design multi-agent solutions involving orchestration, delegation, and self-reflection.
• Integrate AI solutions with APIs, databases, cloud platforms, and enterprise integration environments.
• Apply strong practices around debugging, testing, integration, and production engineering.
• Collaborate with customers, users, and cross-functional technical teams in ambiguous and evolving delivery environments.
• Balance rapid prototyping with scalable, maintainable, and production-quality engineering.

Benefits

• A challenging, innovating environment.
• Opportunities for learning where needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed