We are seeking a Senior Technical Architect (AI/GenAI GCP) with strong expertise in architecting and delivering large-scale AI-driven solutions. The role involves leading technical teams designing scalable cloud-native systems and building next-generation applications leveraging GenAI Machine Learning and GCP.
Key Responsibilities
- Architect and design large-scale secure and high-performance solutions on GCP.
- Lead and mentor cross-functional teams in GenAI ML Data Engineering and Cloud.
- Design and develop GenAI applications ML pipelines APIs and cloud-native solutions.
- Stay hands-on with coding design reviews and system optimization.
- Collaborate with stakeholders to align technology strategy with business goals.
- Continuously upskill on latest AI/GenAI and cloud technologies.
Required Qualifications
- 10 years of technical software engineering experience with 3 years in a leadership role.
- Proven expertise in Python (preferred) plus Java/JavaScript/Backend languages.
- Hands-on experience with GCP Architecture Data Engineering DevOps.
- Strong experience with GenAI LLMs and agentic AI systems.
- Proficiency in building and deploying ML models using TensorFlow PyTorch scikit-learn spaCy etc.
- Experience designing and integrating RESTful APIs GraphQL and cloud-native architectures.
Nice to Have
- Experience with Data Fabric concepts and advanced AI/ML frameworks.
Exposure to
enterprise-scale AI adoption in multiple industries