Principal AI Architect & Tech Visionary

Insight Global

City of Albany (NY)

On-site

USD 180,000 - 240,000

Full time

2 days ago
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Job summary

Insight Global is seeking a Principal AI Software Engineer to support a global client and drive technical vision for enterprise AI applications. You will integrate LLMs, agent workflows, NLP, CV, and analytics while ensuring high availability and cost efficiency.

You’ll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product.

Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or related technical field.
  • 10+ years of programming experience with modern front-end frameworks and multiple back-end languages.
  • Proven track record shipping production AI apps with LLMs at scale.
  • Experience with vector databases and embedding model optimization.
  • Expertise with multiple LLM providers and orchestration frameworks.
  • Extensive experience leading technical teams and cross-team initiatives.
  • Expert-level experience with cloud platforms and containerization (EKS).

Responsibilities

  • Set AI architecture and technical vision across products.
  • Lead cross-team initiatives with product and data science.
  • Design RAG and agent workflows; optimize LLM integrations.
  • Build multi-tenant, high-availability systems with observability.
  • Establish AI cost management, monitoring, and security standards.

Skills

LLM integrations
AI architecture
Python & Java
Frontend frameworks
Mentorship
Cloud platforms

Education

Bachelor’s degree in CS/CE

Tools

Milvus
Pinecone
Weaviate
pgvector
LangChain
LlamaIndex
EKS
AWS
GCP
Azure

Job description

Insight Global is seeking a Principal AI Software Engineer to support a global client and drive technical vision for enterprise AI applications. You will integrate LLMs, agent workflows, NLP, CV, and analytics while ensuring high availability and cost efficiency.

You’ll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product.

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