AI Solution Architect

GeekSoft Consulting; Jersey City (NJ); On-site; USD 150,000 - 230,000; Full time

Benefits offered by this job

Challenging environment

Learning opportunities

Job summary

GeekSoft Consulting seeks an AI Solution Architect to lead design and delivery of AI-powered platforms. You will build LLM and agent-based solutions, integrating with APIs, databases and cloud environments while ensuring production readiness and high availability.

The role requires hands-on work with major AI platforms, strong software engineering skills, and the ability to collaborate with customers and cross-functional teams in ambiguous delivery contexts.

Qualifications

• Hands-on experience building LLM and agent-based solutions.
• Proficient in Python, TypeScript or Java.
• Design AI solutions using LLMs and agentic architectures.
• Experience deploying production-grade AI systems.
• Familiar with APIs, databases, cloud platforms.
• Vendor certifications in major AI platforms.

Responsibilities

• Design, build and improve AI platform components.
• Research, suggest and implement new AI tech following best practices/standards.
• Ensure resiliency and availability of products.
• Collaborate with customers and cross-functional teams in evolving delivery environments.

Skills

Python

TypeScript

Java

LLM development

Agent-based systems

Tool integration

Cloud platforms

APIs integration

Observability

Debugging

Production rollout

Cross-functional collaboration

Tools

MCP servers

Orchestration frameworks

Custom tools

Job description

• Help 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.

• Help 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.

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.
• 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.
• Experience taking agentic AI or LLM solutions from prototype through production rollout.
• 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.

Benefits

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