Altis Technology is seeking an experienced Solutions Architect to lead the design and implementation of cutting-edge AI models, systems, and infrastructure. This role is pivotal in driving our clients organizational improvements and transforming consumer products using AI technologies.
As a Solutions Architect, you will collaborate closely with cross-functional teams to define AI architecture and guide decision-makers in choosing the right technologies. You will also work with security professionals to ensure AI applications and infrastructures align with ethical and regulatory standards.
Key Responsibilities:
- Develop and implement AI models, systems, and infrastructure to optimize organizational processes and enhance consumer experiences.
- Define AI architecture and provide guidance on the integration of technologies that align with business objectives.
- Collaborate with stakeholders, including security professionals, to identify and mitigate potential risks associated with AI technologies.
- Deploy, monitor, and manage AI infrastructure using platforms like Azure AI and associated services (Azure OpenAI, AI Search, Azure Cognitive Services).
- Architect complex solutions for large-scale, multi-region systems, ensuring high availability and mission-critical application stability.
- Lead the deployment and operations of AI applications, ensuring seamless integration with cloud-based platforms such as AWS and Azure.
- Design and model SQL and NoSQL databases (SQL Server, DB2, Oracle, MongoDB, etc.), ensuring scalability and efficiency.
- Implement DevOps practices and Agile methodologies to streamline development and operations processes.
Required Skills & Qualifications:
- 10+ years of development/architecture experience, particularly in cloud environments.
- Expertise in machine learning models, natural language processing, and large language models.
- Hands-on experience with Azure AI platforms and services such as Azure Cognitive Services and Azure OpenAI.
- Proven experience in architecting large-scale solutions (10K+ concurrent users) involving cloud computing technologies.
- Proficient in programming languages such as C#, .NET Core, JavaScript, and ASP.NET.
- Knowledge of Micro-Service Architecture, Kubernetes, and multi-region API solutions.
- Strong experience with both SQL and NoSQL databases.
- Familiarity with DevOps tools and Agile practices.
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
Preferred Qualifications:
- Knowledge of Power Apps and MS Dynamics 365.
- Experience with Azure DevOps and Azure App Services.
- Experience with security frameworks and ethical considerations in AI.