AI Solution Architect

Accrescent Group; Jersey City (NJ); On-site; USD 150,000 - 190,000; Full time

Job summary

Accrescent Group is seeking an AI Solution Architect with hands-on software engineering experience in Python, TypeScript, Java, or comparable stacks. The role focuses on building with LLMs and agents on major platforms, plus practical expertise in agentic patterns, APIs, databases, and cloud deployment in production environments.

You will collaborate with cross-functional teams to balance rapid prototyping with production-quality engineering, driving successful AI initiatives for customers and

Qualifications

• Several years of production software engineering experience in Python, TypeScript, Java or comparable stacks.
• Hands-on experience building with LLMs and agents on at least one major platform such as Anthropic, OpenAI, Google or Microsoft.
• Practical understanding of agentic patterns: tool use, retrieval, prompting, model behaviour, evaluation and multi-agent workflows.
• Experience with APIs, databases, cloud platforms, integration surfaces or comparable deployment environments.
• Strong debugging, testing and integration discipline.

Responsibilities

• Develop and integrate AI solutions using Python, TypeScript or Java.
• Implement agentic patterns for tool use, prompting, orchestration and self-reflection.
• Collaborate with product, data and platform teams to deploy production-grade AI systems.
• Ensure robust integration with APIs, databases and cloud services across environments.
• Maintain high standards for debugging, testing and reliability.
• Support customers and cross-functional teams in ambiguous delivery contexts.

Skills

LLMs & Agents

Production-grade engineering

Cross-functional collaboration

Tools

Python

TypeScript

Java

LLM Platforms

APIs

Job description

We're seeking an AI Solution Architect with several years of production software engineering experience in Python, TypeScript, Java, or comparable stacks. The role requires hands-on experience building with LLMs and agents on at least one major platform, along with practical understanding of agentic patterns, APIs, databases, cloud platforms, integration environments, debugging, testing, and production-quality engineering.

Job Description:

• Several years of production software engineering experience in Python, TypeScript, Java or comparable stacks.
• Hands-on experience building with LLMs and agents on at least one major platform, such as Anthropic, Open AI, Google or Microsoft.
• Practical understanding of agentic patterns: tool use, retrieval, prompting, model behaviour, evaluation and multi-agent workflows such as orchestration, delegation and self-reflection.
• Experience with APIs, databases, cloud platforms, integration surfaces or comparable deployment environments.
• Strong debugging, testing and integration discipline.
• Experience working in ambiguous delivery contexts with customers, users or cross functional technical teams.
• Ability to balance fast prototyping with production-quality engineering.

Nice to have

• Experience taking agentic or AI systems from prototype to production rollout.
• Experience with agent orchestration frameworks