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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solution Engineer - **Company:** BP3 Global, Incorporated - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $110,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** ASP.NET, .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Application Frameworks, Application Integration Architecture, Application Layers, Business Logic, Microsoft Azure, BigQuery, C Sharp (Programming Language), Code Review, Databases, Continuous Integration, DevOps, Entity Framework, Github, Performance Tuning, Software Deployment, Software Engineering, Software Systems, SQL Databases, Data Streaming, AI Infrastructure, Enterprise Data Management, Graphics Processing Unit (GPU), Google Cloud, Enterprise Software Applications, Cloud Platform System, Delivery Pipeline, Large Language Models, Build Management, Containerization, AI Platforms, Kubernetes, Information Technology, Apache Kafka, Cosmos DB, Machine Learning Operations, Api Gateway, Stream Processing, Data Pipelines, Serverless Computing, Web Api - **Published:** July 22, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=173deae55fc0fc11 ## About the Role * Demonstrated experience implementing enterprise AI solutions with AI Enterprise and/or major cloud AI platforms. * Proven experience architecting and building scalable enterprise applications with the .NET stack (C#, ASP.NET Core, Web APIs, Entity Framework) or a comparable enterprise application framework. * Practical experience integrating AI components (LLMs, vector databases, inference APIs, RAG pipelines) into enterprise application workflows. * Experience configuring and deploying Kubernetes or container-based infrastructure for AI-enabled services. * Experience delivering enterprise AI solutions within compliance environments or frameworks such as NIST AI RMF or ISO 42001. * Hands-on experience with at least two major cloud providers (Azure, AWS, Google Cloud). * Proven background in AI strategy, governance, and client-facing consulting or project delivery. * Proficiency with modern DevOps workflows: GitHub Actions, Azure DevOps, or similar CI/CD pipelines. * Strong communication, stakeholder engagement, and change management skills. * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; relevant cloud/AI certifications a plus. PREFERRED EXPERIENCE * End-to-end delivery experience: from pilot/prototype through full production deployment for enterprise clients. * Experience with real-time data streaming (Kafka, Azure Event Hubs) and API gateway implementations. * Familiarity with cross-cloud interoperability, cost-optimized cloud design, and industry reference architectures or blueprints. * Contributions to reusable frameworks or solution accelerators combining application development and AI integration. * Consulting experience delivering enterprise-grade AI or software solutions across multiple industries., * enterprise AI implementation: 5 years (Required) * .NET (C#, ASP.NET Core) development: 5 years (Required) * LLMs, RAG, or vector database: 3 years (Required) * Kubernetes and containerization: 3 years (Required) * Azure, AWS, or Google Cloud: 4 years (Required) * client-facing consulting or solution architecture: 4 years (Required) ## Description The AI Solution Engineer partners directly with clients to design, build, and deliver end-to-end enterprise AI solutions - spanning infrastructure, platform, and application layers. This role blends hands-on technical leadership across Enterprise AI and cloud-native platforms (Azure, AWS, Google Cloud) with application-layer architecture and software development, primarily in the .NET ecosystem. The ideal candidate pairs deep platform and AI engineering knowledge with consulting acumen, guiding clients from strategy and architecture through implementation, adoption, and ongoing optimization., * Partner directly with clients to identify, scope, and deliver end-to-end AI solutions, from infrastructure through the application layer. * Design and implement AI pipelines and enterprise architectures using AI Enterprise components alongside cloud-native services across Azure, AWS, and Google Cloud. * Architect and develop AI-enabled enterprise applications using the .NET ecosystem (C#, ASP.NET Core, Entity Framework, Azure Functions, APIs) or a comparable enterprise application ecosystem. * Design and build RAG and MCP servers, agents and skills, and multimodal data pipelines that connect cloud-backed AI infrastructure to client applications. * Manage orchestration and infrastructure for AI workloads, including Kubernetes, containerization, GPU resource optimization, and monitoring. * Enable secure, compliant connectivity between AI applications and enterprise data platforms (SQL, Cosmos DB, BigQuery, S3). * Collaborate with data science, engineering, and DevOps teams to establish CI/CD workflows and production-ready deployment pipelines. * Advise clients on AI strategy, governance, and roadmap planning, translating business requirements into scalable, secure technical solutions. * Lead code reviews, architectural assessments, and performance optimization across AI pipelines and application logic. * Deliver user and admin training, robust documentation, and post-deployment support to drive adoption and continuous optimization. * Stay current on advancements in enterprise AI, cloud-native AI services, and modern AI application development practices. ## 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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)