Design, build, and scale enterprise AI solutions including LLM, RAG, and AI Agent systems. Develop cloud-native architectures (Azure/AWS), integrations, MLOps/CI/CD, model monitoring, and governance. Collaborate with stakeholders to translate business needs and drive AI adoption with measurable outcomes.
AI Solutions Architect
Remote | Contractor-to-Hire |
We are looking for a Senior AI Developer with an AI-first mindset to design, build, and scale enterprise AI solutions that modernize legacy systems, reduce operational costs, and accelerate digital transformation initiatives.
What You'll Do
- Design and implement AI-powered enterprise applications.
- Build and deploy LLM, RAG, and AI Agent solutions.
- Develop scalable cloud-native architectures on Azure or AWS.
- Create integrations using APIs, event-driven architectures, and modern data platforms.
- Implement MLOps, CI/CD, model monitoring, and governance practices.
- Collaborate with business stakeholders and executive leadership to translate business needs into technical solutions.
- Drive AI adoption and establish reusable enterprise AI standards.
Requirements
- Senior-level experience in AI Engineering, AI Development, ML Engineering, or AI Architecture.
- Strong hands-on experience with Python.
- Experience with LLMs, Generative AI, RAG architectures, and AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
- Experience with vector databases and semantic search solutions.
- Cloud experience with Azure AI Services or AWS AI/ML services.
- Experience with Kubernetes, Docker, CI/CD, MLOps, and Infrastructure as Code.
- Strong communication skills and ability to engage with technical and business stakeholders.
- Proven ability to connect AI solutions with measurable business outcomes.
- Advanced English communication skills.
Nice to Have
- Experience with AI Agent frameworks (AutoGen, CrewAI, OpenAI Assistants API, LangGraph).
- Experience with Power Platform, UiPath, or enterprise automation tools.
- AI-related cloud certifications.
- Experience building AI business cases, ROI models, or enterprise AI governance frameworks.
Location Preference: East Coast candidates (Atlanta, South Carolina, Florida, or nearby Eastern Time Zone locations preferred).
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
The Principal Solutions Architect will lead technical architectures, drive AI-focused solutions, collaborate across teams, and mentor others to guide customers in maximizing GitLab’s DevSecOps platform's value.
Top Skills:
AICi/CdCloud ComputingDevsecopsGitlab
Cloud • Information Technology • Natural Language Processing • Analytics • Consulting • App development • Generative AI
Lead pre-sales Data & AI strategy and solution design on the Microsoft platform. Drive discovery, architecture, executive presentations, and deal closure; mentor teams and ensure solutions meet security, governance, and business outcomes.
Top Skills:
AzureAzure AiAzure Data ServicesAzure SynapseDatabricks (On Azure)Microsoft Data & AiMicrosoft Fabric
Big Data • Cloud • Hardware • Software • App development
Customer-facing technical architect role designing, sizing, and delivering high-performance AI storage and data platform solutions. Lead partner solution development, pre-sales engagements, reference architectures, enablement, and field support for enterprise and hyperscale AI workloads. Work spans parallel file systems, object/NAS storage, NVMe-oF and GPU-Direct Storage, data pipelines, lakehouse architectures, and NVIDIA AI Platform integrations.
Top Skills:
AirbyteApache AirflowApache HudiApache IcebergApache KafkaApache NifiSparkAws S3Azure BlobDaskDdnDdn Ai400Ddn ExascalerDellDell EcsDell PowerscaleDell PowerstoreDelta LakeDgxEverpureGoogle Cloud StorageHgxIbm GpfsIsilonKubeflowLustreMgxMission ControlMlflowNcpNetappNetapp Ontap AiNvaieNvidia Ai Data PlatformNvidia Gpu-Direct StorageNvme-OfObjectscaleOvxPrefectPythonRayRun:AiSlurmSpectrum ScaleStoragegridUnity CatalogVastVast Data PlatformWekaWeka Data Platform
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
