> Markdown version of [/jobs/ext/1212646-senior-applied-ai-solutions-architect-federal-financial](https://www.wearedevelopers.com/jobs/ext/1212646-senior-applied-ai-solutions-architect-federal-financial). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Applied AI Solutions Architect, Federal Financial - **Company:** Amazon.com, Inc. - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $153,600.0 - $207,800.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Systems Engineering, Cloud Computing, Cloud Computing Security, Databases, Python (Programming Language), Machine Learning, SAS (Software), Software Engineering, Chatbots, Retrieval-Augmented Generation, Multi-Agent Systems, IT Architecture, Software Security, Deep Learning, Information Technology, Data Analytics - **Published:** July 9, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10469940/senior-applied-ai-solutions-architect-federal-financial ## About the Role You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong background in statistics, mathematics, computer science, or a related technical discipline is preferred, in addition to experience helping customers architect enterprise-grade AI/ML solutions. You should be familiar with modern AI patterns and architectures - including agentic systems, retrieval-augmented generation, intelligent document processing, conversational AI, and classification/anomaly detection - as well as the broader ecosystem of AI/ML tooling. You must be comfortable operating in Python data science environments and have the ability to leverage this knowledge to help AWS customers evaluate approaches and build production-ready solutions. Candidates must have outstanding communication skills and be deeply technical, with the ability to engage AWS customers at any level - from agency executives to data scientists and developers. Previous experience with AWS is desired but not required, provided you have experience building large-scale AI/ML solutions. You will get the opportunity to work directly with senior engineers at customers, partners, and AWS service teams, influencing roadmaps and driving innovation. If you are someone who enjoys innovating, likes solving hard problems, and wants to work at the cutting edge of applied AI in the federal financial regulatory space, we would love to have you on the team., 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience - 3+ years of design, implementation, or consulting in applications and infrastructures experience - 10+ years of IT development or implementation/consulting in the software or Internet industries experience - Associate's degree or above, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional) Preferred Qualifications - 5+ years of infrastructure architecture, database architecture and networking experience - Experience working with end user or developer communities ## Description As a Senior Applied AI Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing applied AI solutions that help federal financial regulatory agencies automate workflows, accelerate decision-making, and drive down costs. You will work closely with other Specialist and Generalist Solutions Architects to enable large-scale customer use cases and drive adoption of AI/ML across the federal financial portfolio. You will interact with customers and SAs in the field, providing technical guidance on AI/ML engagements, and you will develop white papers, reference architectures, and presentations to enable customers and partners to fully leverage applied AI on AWS. You will also create field enablement materials for the broader SA population, helping them integrate AI solutions into customer architectures. ## Related Videos - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? 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