AI Solution Architect, Multi-Agent LLM Platforms

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

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.