AI Solutions Architect

About this position

We are seeking an innovative and results-driven AI Solutions Architect to design and implement AI-powered solutions that address our business and client needs. The ideal candidate will bridge the gap between business strategy and technical execution, leading the design of scalable, efficient, and effective AI systems. You will collaborate with cross-functional teams to develop cutting-edge solutions that deliver meaningful value to our stakeholders.

Tasks & Responsibilities

Architect AI Solutions: Design end-to-end AI and machine learning systems that integrate with existing platforms, ensuring scalability, reliability, and performance. Technical Leadership: Provide strategic guidance on AI adoption, tools, frameworks, and best practices. Collaborate Across Teams: Work closely with product managers, data scientists, and developers to translate business requirements into technical specifications. Model Development Oversight: Guide the selection, training, and optimization of machine learning models for deployment. Infrastructure Design: Lead the development of robust data pipelines, cloud-based infrastructures, and deployment mechanisms to support AI operations. Ensure Compliance: Ensure solutions adhere to data privacy, security, and ethical guidelines. Client Interaction: Partner with clients and stakeholders to understand their needs and demonstrate the business value of AI-driven solutions. Innovation: Stay updated with the latest AI trends, tools, and techniques, and proactively recommend enhancements to our technology stack.

Requirements & Benefits

Strong expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in programming languages (e.g., Python, Java, R). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and MLOps tools. Solid understanding of data engineering, including ETL pipelines and big data technologies (e.g., Spark, Hadoop). Exceptional problem-solving skills and ability to design solutions for complex business challenges. Excellent communication and interpersonal skills for collaboration with technical and non-technical stakeholders.