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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Artificial Intelligence Solutions Architect - **Company:** AET FEDERAL INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, CompTIA Security+, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Governance, Python (Programming Language), Machine Learning, Software Architecture, Tensorflow, Zero Trust Network Access, Azure Machine Learning, Software Engineering, Systems Architecture, Google Cloud, Enterprise Software Applications, Data Ingestion, Pytorch, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, Kubernetes, Information Technology, HuggingFace, Apache Kafka, Machine Learning Operations, Data Pipelines, Devsecops, Databricks - **Published:** August 22, 2026 - **Apply:** https://www.wayup.com/i-j-Artificial-Intelligence-Solutions-Architect-AET-FEDERAL-INC-184741495532866/ ## About the Role 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. Preferred Qualifications 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. Education Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, Artificial Intelligence, or a related field preferred. Equivalent education and experience may be considered. ## Description 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. Key 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. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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