We are seeking an experienced cloud AI engineer who possesses deep expertise in cloud technologies, data engineering, AI/ML frameworks, infrastructure automation, and cloud security, along with a strong understanding of emerging AI technologies and industry best practices. The Cloud AI Engineer will play a critical role in accelerating AI adoption, improving operational efficiency, optimizing cloud investments, and enabling innovative, enterprise-scale AI solutions that drive business value.
- Architecting and implementing retrieval-augmented generation (RAG) solutions using vector databases, embedding models, semantic search, and enterprise knowledge repositories
- Applying enterprise AI security practices including identity and access management, data privacy, prompt injection mitigation, content filtering, responsible AI principles, and governance controls
- Optimizing AI workloads through intelligent model selection, token usage management, caching, efficient retrieval strategies, latency reduction, and cloud resource optimization
- Integrating LLM-powered applications and AI agents with enterprise systems, cloud services, databases, and APIs using secure integration patterns, MCP-based tool connectivity, and event-driven architectures
- Designing, building, and deploying AWS-hosted data solutions, including large-scale data processing pipelines, computationally intensive statistical modeling, and advanced analytics
- Bachelor's degree (or equivalent) in computer science, information technology, or mathematics
- Nice to have: AWS certification
- medical benefits
- dental benefits
- vision benefits
- dependent care flexible spending account
- 401(k) plan
Senior Analyst, Business IntelligenceLG Ad Solutions · Bangalore, India