{"schemaVersion":"jobsearcher.job.v1","id":"5e8504534c44555cf5b4cbcd","url":"https://jobsearcher.com/jobs/5e8504534c44555cf5b4cbcd","canonicalUrl":"https://jobsearcher.com/jobs/5e8504534c44555cf5b4cbcd","title":"Senior Software Architect – .Net/Python","description":"ResponsibilitiesDefine and drive solution and application architecture strategy across multiple business initiatives and delivery teamsArchitect secure, scalable, highly available, cloud-ready enterprise applications using .NET and modern frameworksLead modernization from monolithic and legacy systems to distributed, cloud-native architecturesProvide architecture consulting and technical leadership across programs and development teamsEvaluate emerging technologies and recommend solutions that improve business outcomes, development velocity, and operational efficiencyCreate reusable architectural patterns, foundational frameworks, and development acceleratorsDesign and implement microservices using Domain-Driven Design and modern architectural principlesLead adoption of containerized platforms using Docker and Kubernetes or OpenShiftArchitect resilient systems supporting active-active deployment, fault tolerance, and disaster recoveryDesign and manage RESTful APIs and service integrations using OpenAPI/SwaggerDesign and implement event-driven architectures using Kafka or similar streaming technologiesDevelop scalable data architectures for high-volume transaction processingDefine and drive AI architecture strategies using LLMs, AI agents, machine learning, and intelligent automationDesign AI-powered solutions including conversational AI, RAG, and agentic workflowsIntegrate AI agents with applications, APIs, databases, and knowledge repositoriesEvaluate AI technologies, model providers, vector databases, orchestration frameworks, and AI development platformsPartner with stakeholders to identify AI and machine learning opportunitiesCollaborate with product owners, business analysts, engineering leaders, and executivesTranslate complex technical concepts into business recommendationsMentor architects, developers, and technical leadsLead technology selection, architecture reviews, and strategic planningLead the overall design of cross-functional, multi-platform, and web-based application systemsDevelop application architecture and blueprints reflecting enterprise business logicDefine application components, platforms, interfaces, and development toolsProvide technical guidance to application development teamsConsult on integration and conversion activitiesReview and analyze organizational needs and goals to develop and implement applicationsRequirements​Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferredEquivalent experience will be considered10+ years of experience in software engineering, solution architecture, or enterprise architecture rolesExperience designing and implementing enterprise-scale distributed applications using .NET CoreProven success architecting and delivering enterprise microservices solutionsStrong experience with .NET Core, Docker, Kubernetes or OpenShift, and Kafka or comparable messaging platformsDeep knowledge of software architecture principles, SOLID design, enterprise integration patterns, distributed systems, and unit testingExperience architecting secure, scalable, cloud-native applicationsStrong understanding of application security, performance optimization, resiliency, and operational excellenceExcellent communication and presentation skills for technical and executive audiencesDemonstrated leadership, mentoring, and organizational influenceExperience implementing cloud-native architectures and platform engineering practicesFamiliarity with Angular or modern front-end frameworksExperience with Agile/Scrum and tools such as Git, Jira, and Azure DevOps or similarExperience building AI-powered applications using commercial or open-source LLMsHands‑on experience developing AI agents, agent orchestration workflows, or enterprise copilotsExperience with AI frameworks and platforms such as Microsoft Agent Framework, Semantic Kernel, LangChain, AutoGen, CrewAI, Azure AI Foundry, OpenAI, Anthropic, AWS Bedrock, or Google Vertex AIExperience designing RAG solutions using vector databasesUnderstanding of prompt engineering, model evaluation, model governance, and AI observabilityExperience training, deploying, and operationalizing machine learning modelsFamiliarity with TensorFlow, PyTorch, Scikit-learn, or equivalent technologiesExperience integrating machine learning solutions into enterprise applicationsNo employment visa sponsorship or STEM OPT participationCore Competencies\r\nDemonstrates expertise in architecting secure, scalable, cloud-native applications using .NET Core and modern frameworks, with a strong focus on microservices, AI integration, and operational excellence. Proven ability to lead cross-functional teams, mentor technical staff, and drive technology selection and strategic planning.Highest-signal resume keywordsSolution ArchitectureMicroservices DevelopmentCloud-Native ApplicationsAI-Powered SolutionsTechnical LeadershipATS Optimization Keywords\r\nHard Skills.NET CoreMicroservicesDockerKubernetesKafkaAI FrameworksDomain-Driven DesignRESTful APIsEvent-Driven ArchitectureCloud ArchitectureSoft SkillsExcellent CommunicationMentoringOrganizational InfluenceCollaborationPresentation SkillsIndustry KeywordsEnterprise ArchitectureSoftware EngineeringCloud ComputingAgile/ScrumApplication SecurityTools & TechnologiesAzure DevOpsGitJiraOpenAPI/SwaggerTensorFlowPyTorchScikit-learnMicrosoft Agent FrameworkLangChainAWS Bedrock#J-18808-Ljbffr","company":"JobLeads","rawCompany":"jobleadsus","city":"El Paso","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-23T01:06:22.681Z","occupations":[{"code":"15-1299.08","title":"Computer Systems 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automationDesign AI-powered solutions including conversational AI, RAG, and agentic workflowsIntegrate AI agents with applications, APIs, databases, and knowledge repositoriesEvaluate AI technologies, model providers, vector databases, orchestration frameworks, and AI development platformsPartner with stakeholders to identify AI and machine learning opportunitiesCollaborate with product owners, business analysts, engineering leaders, and executivesTranslate complex technical concepts into business recommendationsMentor architects, developers, and technical leadsLead technology selection, architecture reviews, and strategic planningLead the overall design of cross-functional, multi-platform, and web-based application systemsDevelop application architecture and blueprints reflecting enterprise business logicDefine application components, platforms, interfaces, and development toolsProvide technical guidance to application development teamsConsult on integration and conversion activitiesReview and analyze organizational needs and goals to develop and implement applicationsRequirements​Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field is preferredEquivalent experience will be considered10+ years of experience in software engineering, solution architecture, or enterprise architecture rolesExperience designing and implementing enterprise-scale distributed applications using .NET CoreProven success architecting and delivering enterprise microservices solutionsStrong experience with .NET Core, Docker, Kubernetes or OpenShift, and Kafka or comparable messaging platformsDeep knowledge of software architecture principles, SOLID design, enterprise integration patterns, distributed systems, and unit testingExperience architecting secure, scalable, cloud-native applicationsStrong understanding of application security, performance optimization, resiliency, and operational excellenceExcellent communication and presentation skills for technical and executive audiencesDemonstrated leadership, mentoring, and organizational influenceExperience implementing cloud-native architectures and platform engineering practicesFamiliarity with Angular or modern front-end frameworksExperience with Agile/Scrum and tools such as Git, Jira, and Azure DevOps or similarExperience building AI-powered applications using commercial or open-source LLMsHands‑on experience developing AI agents, agent orchestration workflows, or enterprise copilotsExperience with AI frameworks and platforms such as Microsoft Agent Framework, Semantic Kernel, LangChain, AutoGen, CrewAI, Azure AI Foundry, OpenAI, Anthropic, AWS Bedrock, or Google Vertex AIExperience designing RAG solutions using vector databasesUnderstanding of prompt engineering, model evaluation, model governance, and AI observabilityExperience training, deploying, and operationalizing machine learning modelsFamiliarity with TensorFlow, PyTorch, Scikit-learn, or equivalent technologiesExperience integrating machine learning solutions into enterprise applicationsNo employment visa sponsorship or STEM OPT participationCore Competencies\r\nDemonstrates expertise in architecting secure, scalable, cloud-native applications using .NET Core and modern frameworks, with a strong focus on microservices, AI integration, and operational excellence. 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