Principal AI Solution Architect

Role :

Principal AI Solution Architect

AiFA Labs is seeking a highly experienced AI Solution Architect to serve as the strategic design authority and technical owner for all AI solution architectures across our entire project portfolio. This role combines deep technical expertise with comprehensive solution ownership, responsible for designing, overseeing, and ensuring the successful delivery of all AI solution designs for both ongoing and new projects.

Role & Responsibilities :

- Complete accountability for all AI solution architectures across AiFA Labs' entire project portfolio.

- Design authority for all technical solutions, ensuring consistency, quality, and alignment with business objectives.

- End-to-end ownership of solution lifecycle from initial business requirements through deployment and maintenance.

- Lead comprehensive solution design activities for all AI initiatives, translating business requirements into detailed technical architectures.

- Establish design governance frameworks ensuring all solutions meet scalability, security, performance, and maintainability requirements.

Technical Responsibilities:

- Design enterprise-scale AI architectures that integrate generative AI, machine learning, and traditional enterprise systems.

- Develop comprehensive data architectures supporting AI workloads, including data pipelines, model training infrastructure, and real-time inference systems.

- Implement MLOps/LLMOps frameworks for automated model lifecycle management.

- Oversee complex system integrations between AI components and existing enterprise infrastructure.

- Implement security frameworks for AI solutions addressing data privacy, model protection, and regulatory compliance.

Required Qualifications & Experience :

- Master's degree in computer science, AI, Systems Architecture, or related field; PhD strongly preferred.

- Minimum 8 - 15 years of solution architecture experience with at least 8+ years focused on AI/ML solutions.

- Expert-level proficiency in AI/ML technologies including generative AI, large language models, computer vision, and natural language processing.

- Mastery of solution architecture methodologies including TOGAF and enterprise architecture frameworks.

- Comprehensive knowledge of cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services.

Skills

Solution Architect, Generative AI, MLOps, LLMOps, AWS, Azure, Google Cloud Platform, Kafka, Spark, Hadoop, TOGAF