Support the architecture and design of AI solutions across multiple projects, ensuring technical feasibility and alignment with client goals
Contribute to the development of shared architectural patterns, reusable components, and design practices to support both experimental and production-ready AI initiatives
Evaluate client needs, system constraints, and platform environments to recommend scalable and secure AI designs across cloud, on-prem, or hybrid setups
Drive architectural decisions related to data pipelines, model orchestration, API development, observability, and integration with enterprise systems
Apply knowledge of traditional machine learning and generative AI technologies (e.g., LLMs, embeddings, RAG, AI agents) to support diverse solution needs
Collaborate with delivery leads, and client stakeholders to refine solution designs as project requirements evolve
Serve as a technical resource to project teams by reviewing technical designs, contributing to code and system architecture, and mentoring junior engineers

8+ years of experience in software engineering or AI/ML development, including 2+ years in solution design or architecture roles
Experience designing AI-powered solutions using machine learning, data pipelines, or generative AI APIs
Familiarity with enterprise architecture principles and working within production-oriented environments
Hands-on experience with Python, AI/ML frameworks, and API development
Understanding of cloud platforms (Azure, AWS) and containerized environments
Strong written and verbal communication skills; ability to translate between technical requirements and business goals
Certifications in Azure, Google Cloud Platform, or Amazon Web Services are highly desirable.
Bachelor’s degree in Computer Science, Engineering, or related field; advanced degrees or certifications are a plus

AICC Solution Architect – Manager

Key skills