{"schemaVersion":"jobsearcher.job.v1","id":"63c83f9857e0b3f534b6f62c","url":"https://jobsearcher.com/jobs/63c83f9857e0b3f534b6f62c","canonicalUrl":"https://jobsearcher.com/jobs/63c83f9857e0b3f534b6f62c","title":"Python AWS AI Architect","description":"Work LocationsHartford, CT, Raleigh, NC, Richardson, TX, Tempe, AZYour contribution to the team:⦁ The ability to analyse, design, and develop scalable and secure architectures.⦁ A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.⦁ Understanding of integration methodologies, proof-of-concept validation and deployment strategies.⦁ The ability to document architectural frameworks and solutions.⦁ Proactive communication with internal teams and clients, ensuring alignment with business objectives.⦁ A knack to keep with up technical advancements to ensure relevant and effective recommendations.⦁ The ability to maintain standards and ensure smooth transition through knowledge transferRequired Skill and Experience• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).• Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.• Experience with AWS SageMaker for model development and model deployment.• Experience with developing and deploying AI Agents for business problems.• Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.• Experience in understanding quantitative/statistical/ML/AI modeling methodologies.• Experience in ML engineering, including hands-on experience with Generative AI/LLMs.Preferred Skill and Experience• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.• Knowledge of data privacy and security best practices in cloud environments.• Familiarity with containerization (Docker) and container orchestration is a plus.","company":"eSolutions","rawCompany":"esolutions","city":"Richardson","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-22T10:34:52.684Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Python AWS AI Architect","description":"Work LocationsHartford, CT, Raleigh, NC, Richardson, TX, Tempe, AZYour contribution to the team:⦁ The ability to analyse, design, and develop scalable and secure architectures.⦁ A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.⦁ Understanding of integration methodologies, proof-of-concept validation and deployment strategies.⦁ The ability to document architectural frameworks and solutions.⦁ Proactive communication with internal teams and clients, ensuring alignment with business objectives.⦁ A knack to keep with up technical advancements to ensure relevant and effective recommendations.⦁ The ability to maintain standards and ensure smooth transition through knowledge transferRequired Skill and Experience• Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).• Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.• Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.• Experience with AWS SageMaker for model development and model deployment.• Experience with developing and deploying AI Agents for business problems.• Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.• Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.• Experience in understanding quantitative/statistical/ML/AI modeling methodologies.• Experience in ML engineering, including hands-on experience with Generative AI/LLMs.Preferred Skill and Experience• Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.• Knowledge of data privacy and security best practices in cloud environments.• Familiarity with containerization (Docker) and container orchestration is a plus.","datePosted":"2026-10-22T10:34:52.684Z","dateModified":"2026-10-22T10:34:52.684Z","hiringOrganization":{"@type":"Organization","name":"eSolutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Richardson","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"63c83f9857e0b3f534b6f62c"},"url":"https://jobsearcher.com/jobs/63c83f9857e0b3f534b6f62c"}}