Found Description
Specialist – AI Engineering
Experience: 8–12 Years
NP: Immediate
Role Summary:
Highly hands-on Technical Lead responsible for driving enterprise-scale AI adoption across multiple delivery tracks including CGS, SDS, ETL, modernization, cloud-native systems, APIs, automation, and legacy ecosystems.
Key Responsibilities:
• Lead enterprise AI-native application and AI agent development initiatives.
• Architect scalable multi-agent and orchestration frameworks.
• Build AI-enabled SDLC accelerators and intelligent automation platforms.
• Drive enterprise AI integrations using AWS Bedrock, Amazon Q Developer, AWS Kiro/Cairo, Claude, OpenAI, GitHub Copilot, and related ecosystems.
• Design AI testing harnesses, observability frameworks, prompt/version governance, and deployment strategies.
• Drive scalable AI deployment patterns using Docker, Kubernetes, autoscaling, load balancing, and distributed orche...