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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Generative AI Solution Engineer - **Company:** CareerCircle - **Location:** Washington, DC, United States (Remote available) - **Experience:** Expert - **Salary:** $143,320.0 - $273,930.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Business Software, Decision Tree Learning, Cloud Engineering, Cluster Analysis, Cyber Security, Databases, Data Architecture, Data Cleansing, Data Discovery, Information Engineering, Data Files, Data Governance, Data Integration, Data Security, Query Languages, Amazon DynamoDB, Encompass, R (Programming Language), Hibernate (Java), JSON, Python (Programming Language), Logistic Regression, Machine Learning, Metadata, Meta-Data Management, Motion Planning, NoSQL, Oracle Databases, Salesforce.Com, Software Engineering, SQL Databases, Oracle Fusion Middleware, Support Vector Machine, Software Technical Review, Unstructured Data, Extensible Markup Language (XML), Enterprise Data Management, Amazon Connect, Network Routing, Data Classification, Large Language Models, Multi-Agent Systems, Prompt Engineering, Xml Files, Generative AI, AWS Lambda, Data Strategy, Cloudformation, Information Technology, Data Lineage, Virtual Agents, Cloudwatch, Software Coding, Restful APIs, Terraform, Amazon Lex, Data Pipelines, Serverless Computing, K Means, Databricks - **Published:** September 28, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/fl/tampa/db181223-75a1-4914-a9b1-ff6325e8e079 ## About the Role NoSQL Dbscan Honesty Writing Finance Research Economics Visionary Automation Mentorship Innovation Algorithms Statistics Mathematics Scalability Forecasting Market Data Persistence Data Science Streamlining Communication Data Analysis Revenue Stream Risk Management Motion Planning Query Languages Computer Science Machine Learning Data Engineering Actuarial Science Unstructured Data Advanced Analytics Financial Services K-Means Clustering Data Preprocessing Amazon Web Services Logistic Regression Time Off Management Advanced Mathematics Predictive Analytics Model Risk Management Decision Tree Learning Support Vector Machine New Product Development, * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline; OR 4 years of experience in statistics, mathematics, quantitative analytics, or related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. * 6 years of experience in a predictive analytics or data analysis OR Advanced Degree (e.g., Master's, PhD) in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other similar quantitative discipline and 4 years of experience in predictive analytics or data analysis. * 4 years of experience in training and validating statistical, physical, machine learning, and other advanced analytics models. * 4 years of experience in one or more dynamic scripted language (such as Python, R, etc.) for performing statistical analyses and/or building and scoring AI/ML models. * Proven experience writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). * Strong experience in querying and preprocessing data from structured and/or unstructured databases using query languages such as SQL, HQL, NoSQL, etc. * Strong experience in working with structured, semi-structured, and unstructured data files such as delimited numeric data files, JSON/XML files, and/or text documents, images, etc. * Demonstrated skill in performing ad-hoc analytics using descriptive, diagnostic, and inferential statistics. * Ability to assess and articulate regulatory implications and expectations of distinct modeling efforts. * Advanced experience with the concepts and technologies associated with classical supervised modeling for prediction such as linear/logistic regression, discriminant analysis, support vector machines, decision trees, forest models, etc. * Advanced experience with the concepts and technologies associated with unsupervised modeling such as k-means clustering, hierarchical/agglomerative clustering, neighbors algorithms, DBSCAN, etc. * Experience guiding and mentoring junior technical staff in business interactions and model building. * Experience communicating analytical and modeling results to non-technical business partners with emphasis on business recommendations and actionable applications of results. What sets you apart: * Demonstrated ability to translate complex data analysis into actionable business insights and strategic recommendations. * Experience in AI/ML/Data Science, focused on product development, strategy, or modeling. * Prior roles with leading tech companies (e.g., Apple, Meta, Amazon AWS, Google, FICO) in AI, automation, or digital product teams. * Experience with developing and implementing AI solutions across diverse platforms and within complex data infrastructures. * Experience in IT roles or IT-adjacent functions, demonstrating a strong understanding of technology systems and infrastructure, is a plus. * Previous exposure to or understanding of the financial services sector is highly preferred. ## Description Professional Networking R (Programming Language) Hibernate Query Language Software Technical Review SQL (Programming Language) Linear Discriminant Analysis Python (Programming Language) Ethical Standards And Conduct Encompass (Mortgage Software) Support Vector Machines (SVM) Milestones (Project Management) Extensible Markup Language (XML) Generative Artificial Intelligence, * Gathers, interprets, and manipulates structured and unstructured data to enable advanced analytical solutions for the business. * Develops scalable, automated solutions using machine learning, simulation, and optimization to deliver business insights and business value. * Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs. * Develops and deploys models within the Model Development Control (MDC) and Model Risk Management (MRM) framework. * Composes, and assists peers with composing, technical documents for knowledge persistence, risk management, and technical review audiences. * Assesses business needs to propose/recommend analytical and modeling projects to add business value. * Works with business and analytics leaders to prioritize analytics and modeling problems/research efforts. * Builds and maintains a robust library of reusable, production-quality algorithms and supporting code, to ensure model development and research efforts are transparent and based on the highest quality data. * Translates complex business request(s) into specific analytical questions, executes on the analysis and/or modeling, and then communicates outcomes to non-technical business colleagues with focus on business action and recommendations. * Manages project milestones, risks, and impediments. * Escalates potential issues that could limit project success or implementation. * Develops best practices for engaging with Data Engineering and IT to deploy production-ready analytical assets consistent with modeling best practices and model risk management standards. * Maintains expertise and awareness of cutting-edge techniques. * Actively seeks opportunities and materials to learn new techniques, technologies, and methodologies. * Serves as a mentor to junior data scientists in modeling, analytics, and computer science tasks. * Participates in internal communities that drive the maintenance and transformation of data science technologies and culture. * Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures. What you have, FedRAMP Equities Fallback Terraform LangChain Claude AI Governance Salesforce AWS Lambda Opensearch Amazon Lex AI Testing Market Data RESTful API Persistence AWS Bedrock Amazon Connect Network Routing Amazon DynamoDB Ancient History LLM Application Machine Learning Cloud Development Amazon CloudWatch AWS CloudFormation Prompt Engineering Workflow Management Amazon Web Services Multi-Agent Systems Software Engineering Serverless Computing Solution Architecture Artificial Intelligence Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence Application Programming Interface (API) +0 Google IT Automation with Python Senior AWS Generative AI Solution Engineer Leidos Gaithersburg, MD*Remote JSON FedRAMP Equities Fallback Terraform LangChain Claude AI Governance Salesforce AWS Lambda Opensearch Amazon Lex AI Testing Market Data RESTful API Persistence AWS Bedrock Amazon Connect Network Routing Amazon DynamoDB Ancient History LLM Application Machine Learning Cloud Development Amazon CloudWatch AWS CloudFormation Prompt Engineering Workflow Management Amazon Web Services Multi-Agent Systems Software Engineering Serverless Computing Solution Architecture Artificial Intelligence Python (Programming Language) Retrieval Augmented Generation Generative Artificial Intelligence Application Programming Interface (API) +0 Google IT Automation with Python Enterprise Data Architect TEKsystems Spring, TX*Remote Auditing Equities Metadata Taxonomy Operations Leadership Automation Governance Resilience Databricks Agentic AI Warehousing Scalability AI Adoption Data Quality Data Science Data Lineage Data Security Data Strategy ISO/IEC 27001 Data Labeling Accountability Cyber Security Data Discovery Data Pipelines Responsible AI Loss Prevention Microsoft Azure Data Governance Vector Database Azure Databricks Oracle Databases Data Integration Machine Learning Data Engineering Data Sovereignty Business Software Data Architecture Data Segmentation Intelligent Agent Advanced Analytics Business Valuation Thought Leadership Metadata Management Data Classification Business Leadership Lifecycle Management Business Technologies Packaging And Labeling Full Stack Development Enterprise Architecture Application Development Business Transformation Oracle Fusion Middleware Information Architecture Product Family Engineering Organizational Change Management Generative Artificial Intelligence ## Related Videos - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Logs in observability - Correlation](https://www.wearedevelopers.com/videos/1430-logs-in-observability-correlation) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Got AI ideas but no money? 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