Back
Tier-1 brand, metro location, and mid-seniority with niche GenAI focus yield medium competition.
Specialized GenAI, agentic design, and compliance focus make cross-industry transfers moderately sensitive.
Explicit 7-10 years plus mandatory GenAI, MLOps, and cloud/Kubernetes requirements make filters highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and development of production-grade Generative AI and Agentic applications with scalable, high-performance architecture.
Define and execute technical strategy for AI projects including architecture and framework decisions, ensuring compliance, security, and operational standards.
Mentor junior/intermediate engineers and data scientists; oversee Agile project management and potentially take on people management responsibilities including performance reviews and career development.
7-10 years overall experience; minimum 2.5 years in architecting production-ready Gen AI RAG or Agent-based solutions.
Expertise in Agentic solution design including memory management, hallucination control, and reinforcement learning feedback loops.
Proficient in Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native technologies like Kubernetes.
Bachelor's degree required; Master's preferred in Computer Science, AI, Engineering, or related quantitative field.
Experienced technical leader with strong skills in AI architecture and scaling complex AI-driven applications.
Proven mentor and manager with ability to lead and develop teams in an Agile environment.
Demonstrated capability in handling compliance, security, and performance in production AI systems.