AI Solutions Architect

Job Title: AI Solutions Architect

Location: Washington, DC (Hybrid 4 Days Onsite)

Job Summary

STAFFXPERT LLC is seeking an AI Engineer on behalf of our client in Washington, DC. This role involves designing and developing scalable, secure, cloud-based AI solutions leveraging modern Large Language Models (LLMs) and enterprise cloud platforms. The ideal candidate will have strong experience in AI/ML development, cloud architecture, and generative AI technologies, with a focus on building intelligent applications that enhance search and user experience.

Key Responsibilities

• Design and implement scalable, secure cloud architectures for AI-driven enterprise applications

• Develop solutions leveraging LLMs, vector databases, and embeddings

• Build and maintain applications using frameworks such as LangChain and LangGraph

• Integrate AI capabilities into enterprise search and user-facing applications

• Work with Azure and Google Cloud platforms to deploy and manage solutions

• Ensure data security, compliance, and governance in AI implementations

• Monitor system performance and troubleshoot issues using tools like Splunk and App Insights

• Collaborate with cross-functional teams and provide technical guidance and mentorship

• Create and maintain technical documentation and architecture designs

• Stay current with emerging AI trends and technologies

Required Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field

• 3 5+ years of experience in AI/ML development and implementation

• Strong programming skills in Python

• Experience with AI frameworks such as TensorFlow or PyTorch

• Solid understanding of Natural Language Processing (NLP) and Generative AI

• Hands-on experience with:

  • LangChain, LangGraph

  • Vector databases and embeddings

  • Agentic AI or AI-driven workflows

• Experience with Microsoft Azure and/or Google Cloud Platform

• Knowledge of cloud-native and hybrid application development

Preferred Qualifications

• Experience building enterprise search or AI-powered platforms

• Familiarity with AI governance and prompt engineering

• Knowledge of distributed systems and caching technologies

• Strong problem-solving, communication, and collaboration skills

• Experience mentoring or leading technical teams