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Smith Arnold Partners Linkedin · Posted 21d ago

Lead AI Engineer

Connecticut, United States

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Indexed description

We're looking for a Lead AI Engineer to join a growing AI team that is building and expanding enterprise AI solutions used across multiple business units throughout North America.


This is a hands-on technical leadership role. You'll spend time designing solutions, writing code, reviewing architecture, mentoring engineers, and helping drive the direction of the AI platform. If you're looking for a position where you can still be deeply involved in engineering while taking on more leadership and architectural responsibility, this could be a great fit.


The team is building AI-powered applications, intelligent automation solutions, RAG-based systems, agentic workflows, and integrations with enterprise platforms. The work is real, production-focused, and highly visible within the organization.


This is an opportunity to join a team that is still early enough to have a meaningful impact, but established enough that you'll be working on production systems rather than experiments.


The person hired will have significant input into architecture decisions, help shape engineering standards, and play a key role in the continued growth of the AI platform.


Employee testimonials:

  • Great company. Fun and challenging environment! Enjoyed atmosphere. Felt appreciated. Would certainly recommend!
  • A rewarding and flexible work environment that encourages innovation and creativity in providing solutions for the business analytics challenges!
  • Great culture, excellent management team, lots of opportunity for growth
  • Great place to work that values its employees and their employees’ opinions. Does a great job at providing the organizations vision to employees. They care about the future


Title: Lead AI Engineer

Salary: $150,000 – 180,000 +Bonus

Location: Remote (EST)



What You'll Be Working On


• Designing and building AI solutions that solve business problems at scale

• Developing RAG pipelines, AI assistants, and agent-based applications

• Integrating LLMs with internal systems and business applications

• Building APIs and backend services using Python and FastAPI

• Working within Microsoft Azure to deploy, secure, and manage AI solutions

• Helping establish engineering standards, code quality practices, and architectural guidelines

• Reviewing code and mentoring other developers on the team

• Partnering with business and technical stakeholders to evaluate new use cases and solutions


Technology Environment

• Python

• FastAPI

• Azure OpenAI

• LangChain / LangGraph

• Azure AI Search

• Cosmos DB

• Azure App Services & Function Apps

• Key Vault

• React

• REST APIs

• Azure DevOps


What We're Looking For

• 6+ years of software engineering experience

• 3+ years working with AI, machine learning, or enterprise AI solutions

• Strong Python development experience

• Experience building and deploying AI applications in Azure

• Experience with RAG architectures, vector search, and LLM integrations

• Experience with LangChain, LangGraph, or similar agent frameworks

• Ability to lead technical discussions and guide other engineers

• Strong understanding of architecture, scalability, security, and maintainability


Nice to Have

• Experience with MCP (Model Context Protocol)

• Node.js experience

• CI/CD and Infrastructure-as-Code experience

• Experience integrating with enterprise platforms such as SAP, SharePoint, or Confluence

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