AI Solutions Architect
We are seeking an experienced AI Solutions Architect to join Devsu and lead architecture, strategy and technical direction for AI-driven initiatives within the Microsoft/Azure ecosystem. You will design and deliver scalable, secure enterprise solutions using Azure AI and data services, build agentic architectures combining large language models (LLMs) + agents, and transform proof of concepts into reusable products and SDKs. Your responsibilities include leading microservices and data pipelines, ensuring CI/CD, container orchestration, and vector/RAG workflows, and advocating best practices for security and compliance. The ideal candidate thrives in remote, agile, global environments, has a mastery of data, cloud and AI technologies, and is passionate about transforming business problems into innovative intelligent solutions.
Please note: The salary range stated for this position is based on Estimated Yearly Salary for similar AI Solutions Architect roles in the United States. It does not represent an official offer or statement from Devsu
Application is ongoing and may end soon
Requirements
1. Bachelor’s or Master’s degree in Computer Science, Engineering or related field.
2. 5+ years of software/cloud architecture experience with strong focus on Azure cloud.
3. Deep experience with Azure AI & Data Services (Azure OpenAI, ML, Cognitive Services, Synapse, Data Factory, Fabric).
4. Proficiency in microservices / messaging (APIM, Service Bus, Kafka, event-driven architectures).
5. DevOps & IaC expertise (Terraform, Bicep, CI/CD using Azure DevOps or GitHub Actions, Docker, Kubernetes/AKS).
6. Hands-on experience in agentic/GenAI development (LLMs, RAG, LangChain/LangGraph/CrewAI, vector search).
7. Strong Python programming skills, REST API development, serverless deployments, concurrency & data structures.
8. Excellent English communication (written & verbal).
Benefits
1. Stable, long-term contract with opportunities for career growth in a remote-friendly culture.
2. Private health insurance and flexible Paid Time Off (PTO) policy.
3. Continuous training, mentorship and access to state-of-the-art AI tools.
4. Work on challenging, world-class software projects serving clients in the US and Latin America.
5. Collaborate with talented engineers in a diverse, remote work environment.
The application process will continue on the employer's website.
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