AI Engineer/Solution Architect

Summary

Andrew Morgan LLC is a Service-Disabled Veteran-Owned Small Business and HUBZone Small Business delivering consulting services to federal and commercial clients. The company is seeking a mid-level AI Engineer or Solution Architect to design, develop, and deploy AI-powered solutions, integrate machine learning and LLM workflows, support cloud infrastructure, and contribute to enterprise architecture and delivery.

Responsibilities

• Design, develop and deploy AI-driven applications and solutions using platforms such as AWS Bedrock, Azure OpenAI, or similar
• Build and integrate machine learning models, large language model (LLM) workflows and intelligent automation into enterprise systems
• Collaborate with cloud architects to ensure AI solutions are scalable, secure and aligned with enterprise standards
• Develop and maintain APIs, pipelines and integrations that support AI and data-driven applications
• Contribute to the design and documentation of solution architecture, data flows and technical roadmaps
• Support cloud infrastructure tasks related to AI workloads on AWS or Azure
• Research and evaluate emerging AI tools, frameworks and platforms to inform solution design
• Participate in Agile ceremonies and contribute to project planning, documentation and delivery

Skills

• 3 to 5 years of experience in software development, AI engineering or a related technical discipline
• Bachelor's degree in Computer Science, Engineering, Data Science or a related field, or equivalent practical experience
• Hands-on experience developing with AI or machine learning frameworks and tools (e.g., AWS Bedrock, Azure OpenAI, OpenAI API, LangChain, Hugging Face, or similar)
• Proficiency in one or more programming languages such as Python, JavaScript, Java or .NET
• Experience working with cloud platforms, preferably AWS or Azure
• Familiarity with REST APIs, microservices and cloud-native application development
• Strong written and verbal communication skills with the ability to work across technical and non-technical teams
• Experience with LLM orchestration, prompt engineering, retrieval-augmented generation (RAG) or AI agent development
• Familiarity with data platforms such as Databricks, Redshift, Snowflake, S3 or Synapse Analytics
• Knowledge of Python, SQL, or data engineering concepts including ETL/ELT and data pipelines
• AWS or Azure certifications (e.g., Solutions Architect Associate, AI Practitioner, or equivalent)
• Experience in federal, regulated or compliance-driven environments
• Exposure to DevOps practices, CI/CD pipelines and infrastructure as code
• Familiarity with enterprise data management, NoSQL or data warehousing concepts

Qualifications

Must Haves

• 3 to 5 years of experience in software development, AI engineering or a related technical discipline
• Bachelor's degree in Computer Science, Engineering, Data Science or a related field, or equivalent practical experience
• Hands-on experience developing with AI or machine learning frameworks and tools (e.g., AWS Bedrock, Azure OpenAI, OpenAI API, LangChain, Hugging Face, or similar)
• Proficiency in one or more programming languages such as Python, JavaScript, Java or .NET
• Experience working with cloud platforms, preferably AWS or Azure
• Familiarity with REST APIs, microservices and cloud-native application development
• Strong written and verbal communication skills with the ability to work across technical and non-technical teams

Nice to Haves

• Experience with LLM orchestration, prompt engineering, retrieval-augmented generation (RAG) or AI agent development
• Familiarity with data platforms such as Databricks, Redshift, Snowflake, S3 or Synapse Analytics
• Knowledge of Python, SQL, or data engineering concepts including ETL/ELT and data pipelines
• AWS or Azure certifications (e.g., Solutions Architect Associate, AI Practitioner, or equivalent)
• Experience in federal, regulated or compliance-driven environments
• Exposure to DevOps practices, CI/CD pipelines and infrastructure as code
• Familiarity with enterprise data management, NoSQL or data warehousing concepts

Benefits

• 15 days of Paid Time Off + 11 Paid Federal Holidays
• 401K Program (up to 4% employer matching)
• Three Gold Healthcare Options (with 75%-90% employer-paid premiums)
• Flexible Spending Account / Dependent Care Assistance Program
• Employer-Paid Short Term Disability Insurance
• Employer-Paid Long Term Disability Insurance
• Employer-Paid Life Insurance
• Professional Training and Development
• Corporate Team Building Events