About the Role
We are looking for an experienced AI Solution Architect who is responsible for designing enterprise AI solutions that align with business objectives while ensuring scalability, security, and efficiency. This role translates business needs into AI-driven architectures (across data ingestion, models and operational workflows), ensuring feasibility, cost-effectiveness, and adherence to industry best practices and firmwide standards.
The AI Solution Architect works closely with the sales teams, engineers and stakeholders to define solution plans and roadmaps, select appropriate technologies and models and guide successful implementations.
They provide deep experience in designing viable, feasible, performant AI solutions. They steer and direct the design of a solution to address specific client issues and requirements and accelerate the development of the solution plan as part of proposals.
What your days will look like;
The Solution Architect works directly with sales teams and clients to assess their needs and design a full solution, including performance, scaling and security requirements—often involving AI/ML systems—that aligns with their business objectives and integrates seamlessly into their existing IT infrastructure.

This role is for you if you have;
• Proven experience architecting AI-driven solutions for enterprise customers, collaborating with sales and engineering teams.
• Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs.
• Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration.
• Strong knowledge of Cloud AI & Hyperscalers, including AWS Bedrock, OpenAI, Google Vertex AI, Azure, hybrid and multimodal AI applications.
• Proficiency in Cloud Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies.
• Experience in Enterprise AI Design, focusing on scalable, secure, and cost-effective AI integration.
• Understanding of data science principles, enabling informed evaluation of machine learning and statistical models.