{"schemaVersion":"jobsearcher.job.v1","id":"a851f00a7aa9bda8b24b4e64","url":"https://jobsearcher.com/jobs/a851f00a7aa9bda8b24b4e64","canonicalUrl":"https://jobsearcher.com/jobs/a851f00a7aa9bda8b24b4e64","title":"AI Solution Development Engineer","description":"OverviewIn this role you will design, develop, and deploy AI-driven solutions for engineering applications, embedding AI into internal tools to boost productivity and automation. You will collaborate with multidisciplinary teams to deliver scalable, secure AI capabilities across software, hardware, and mechanical engineering domains. You will work on cloud deployments, containerized architectures, and GI/LLM-driven workflows to improve reliability and efficiency. This is a hands-on role at the intersection of AI, engineering disciplines, and modern deployment practices. You will shape how AI accelerates engineering tasks and knowledge sharing in a global environment.ResponsibilitiesDesign, develop, and deploy AI-powered solutions for engineering workflows using LangGraph or similar frameworksIntegrate AI capabilities into internal engineering tools to boost productivity and automationDeploy and manage AI solutions on AWS with focus on scalability, security, and cost optimizationImplement containerization, orchestration (Kubernetes), and serverless architectures for AI workloadsSupport multi-cloud deployments across AWS, GCP, and AzureApply LLMOps practices for lifecycle management of large language modelsDevelop and maintain CI/CD pipelines, monitoring, and governance for AI applicationsDesign testing strategies to ensure reliability, accuracy, and compliance of AI applicationsCollaborate on MCP-based integrations and agent-driven AI workflows for engineering toolsEnable AI-powered automation across software, hardware, and mechanical domainsEvaluate and recommend commercial AI tools for engineering use casesPrepare technical documentation and contribute to knowledge-sharing initiativesKey requirementsExperience designing, developing, and deploying AI-driven applicationsExperience with LangGraph or similar AI frameworksExperience deploying AI solutions on AWS or other cloud platformsKnowledge of Docker, Kubernetes, and serverless architecturesExperience with LLMOps, CI/CD pipelines, monitoring, and AI testingFamiliarity with MCP integrations and agentic AI workflowsStrong technical documentation and cross-functional collaboration skillsTechnical communicationproblem-solvingLangGraphAWSGCP","company":"Katalyst Healthcare","rawCompany":"katalyst healthcares life sciences","city":"Houston","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-10-26T14:38:07.410Z","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":"17-2199.00","title":"Engineers, All Other","slug":"engineers-all-other"}],"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":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Solution Development Engineer","description":"OverviewIn this role you will design, develop, and deploy AI-driven solutions for engineering applications, embedding AI into internal tools to boost productivity and automation. You will collaborate with multidisciplinary teams to deliver scalable, secure AI capabilities across software, hardware, and mechanical engineering domains. You will work on cloud deployments, containerized architectures, and GI/LLM-driven workflows to improve reliability and efficiency. This is a hands-on role at the intersection of AI, engineering disciplines, and modern deployment practices. You will shape how AI accelerates engineering tasks and knowledge sharing in a global environment.ResponsibilitiesDesign, develop, and deploy AI-powered solutions for engineering workflows using LangGraph or similar frameworksIntegrate AI capabilities into internal engineering tools to boost productivity and automationDeploy and manage AI solutions on AWS with focus on scalability, security, and cost optimizationImplement containerization, orchestration (Kubernetes), and serverless architectures for AI workloadsSupport multi-cloud deployments across AWS, GCP, and AzureApply LLMOps practices for lifecycle management of large language modelsDevelop and maintain CI/CD pipelines, monitoring, and governance for AI applicationsDesign testing strategies to ensure reliability, accuracy, and compliance of AI applicationsCollaborate on MCP-based integrations and agent-driven AI workflows for engineering toolsEnable AI-powered automation across software, hardware, and mechanical domainsEvaluate and recommend commercial AI tools for engineering use casesPrepare technical documentation and contribute to knowledge-sharing initiativesKey requirementsExperience designing, developing, and deploying AI-driven applicationsExperience with LangGraph or similar AI frameworksExperience deploying AI solutions on AWS or other cloud platformsKnowledge of Docker, Kubernetes, and serverless architecturesExperience with LLMOps, CI/CD pipelines, monitoring, and AI testingFamiliarity with MCP integrations and agentic AI workflowsStrong technical documentation and cross-functional collaboration skillsTechnical communicationproblem-solvingLangGraphAWSGCP","datePosted":"2026-10-26T14:38:07.410Z","dateModified":"2026-10-26T14:38:07.410Z","hiringOrganization":{"@type":"Organization","name":"Katalyst Healthcare","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Houston","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a851f00a7aa9bda8b24b4e64"},"url":"https://jobsearcher.com/jobs/a851f00a7aa9bda8b24b4e64"}}