About the position
AET Federal Inc. is seeking a highly experienced AI Solutions Architect to lead the design and implementation of secure, scalable, production-ready AI solutions for government and enterprise customers. The AI Solutions Architect will serve as a senior technical authority, translating customer and mission requirements into practical AI architectures leveraging Generative AI, large language models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, cloud technologies, data engineering, and MLOps. This is a hands-on role requiring strong technical expertise, customer engagement, and the ability to work across engineering, cybersecurity, data, operations, and business development teams.
Responsibilities
• 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.
Requirements
• 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.
Nice-to-haves
• 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.
Benefits
• Health insurance
• Paid time off
• Vision insurance
• 401(k)
• 401(k) matching
• Dental insurance
• Competitive compensation
• Paid Time Off (PTO) and federal holidays
• Professional development and certification opportunities
• Opportunity to work with emerging AI, automation, cloud, and cybersecurity technologies
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