Job Role :Technical AI Architect / Principal AI Architect
Experience : 8+ Years
Location : Hyderabad
Job Description:
Position Overview:
AiFA Labs is seeking a highly experienced Technical AI Architect / Principal AI 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. As an AI Architect, you will be the single point of accountability for solution design excellence across AiFA Labs' diverse client engagements and product development initiatives.
Required Qualifications & Experience :
Educational Background & Experience :
- Master's degree in computer science, AI, Systems Architecture, or related field;
- Minimum 8-15 years of solution architecture experience with at least 8+ years focused on AI/ML solutions.
- Proven track record of owning and delivering complex solution designs for enterprise-scale AI implementations.
- Extensive experience managing multiple concurrent projects and solution design activities.
Technical Expertise :
- Expert-level proficiency in AI/ML technologies including generative AI, large language models, computer vision, and natural language processing.
- Deep understanding of enterprise integration patterns, API design, and micro services architectures.
- Comprehensive knowledge of cloud platforms and their AI/ML services.
- Strong experience with data architecture, real-time streaming, and big data technologies (Kafka, Spark, Hadoop).
Solution Design Expertise :
- Mastery of solution architecture methodologies including TOGAF, enterprise architecture frameworks, and design patterns.
- Extensive experience with solution design tools (enterprise architecture tools, diagramming software, modelling frameworks).
- Proven ability to design scalable, secure, and maintainable solutions that meet both functional and non-functional requirements.
- Deep knowledge of integration technologies, middleware platforms, and enterprise application connectivity.