Artificial Intelligence Solutions Architect
Tysons Corner, VA - USA
Job Summary
- Health insurance
- Paid time off
- Vision insurance
- 401(k)
- 401(k) matching
- Dental insurance
- Design and architect end-to-end AI/ML and Generative AI solutions including RAG LLM and multi-agent architectures.
- Lead technical discovery with customers and translate business and mission requirements into scalable technical solutions.
- Design secure AI solutions that integrate with cloud on-premises enterprise and government systems.
- Guide data ingestion processing model deployment monitoring and lifecycle management through modern MLOps and CI/CD practices.
- Support cybersecurity data governance compliance and DevSecOps requirements within AI architectures.
- Provide technical leadership and mentorship to engineers developers and data professionals.
- Support business development proposals RFPs RFIs POCs demonstrations and technical presentations.
- Evaluate emerging AI technologies and develop technical standards architecture patterns and best practices for AET Federal.
- Serve as a trusted technical advisor to customer leadership and internal stakeholders.
- 7 years of experience in IT software engineering systems architecture AI/ML or a related field.
- 5 years of hands-on experience designing or implementing AI/ML solutions.
- Proven experience with Generative AI LLMs RAG AI agents and production AI applications.
- Strong programming skills in Python.
- Experience with AI/ML frameworks and technologies such as PyTorch TensorFlow Hugging Face LangChain LlamaIndex or similar.
- Experience with at least one major cloud platform: AWS Azure or GCP.
- Strong understanding of APIs databases data pipelines software architecture and enterprise systems integration.
- Strong communication and presentation skills with the ability to work with both technical and non-technical stakeholders.
- Experience with MLOps MLflow Kubeflow SageMaker Azure ML or similar platforms.
- Experience with vector databases such as Pinecone Weaviate Milvus or pgvector.
- Experience with large-scale data technologies such as Spark Kafka or Databricks.
- Experience with DevSecOps and federal cybersecurity frameworks including NIST FISMA FedRAMP RMF or Zero Trust.
- Prior experience supporting U.S. Federal Government customers.
- Active security clearance or ability to obtain one.
- Relevant AWS Azure GCP AI or cybersecurity certifications.
- Competitive compensation
- Comprehensive benefits
- Paid Time Off (PTO) and federal holidays
- Remote-friendly work environment based on position and customer requirements
- Professional development and certification opportunities
- Opportunity to work with emerging AI automation cloud and cybersecurity technologies
- Collaborative environment supporting federal government missions
Flexible work from home options available.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race color religion sex national origin disability status protected veteran status or any other characteristic protected by law.
Required Experience:
Staff IC
About Company
WELCOME TO AET FEDERAL Modernizing Strategies, Solutions, and Security Mission success for today's federal agencies starts with a partner that pushes the boundaries. AET delivers exceptional operational support and innovative solutions that securely address DevOps, Modernization, Secu ... View more