Note: The job is a remote job and is open to candidates in USA. 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
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
Company Overview