AI Agent Engineer-437985

• 10+ years in software/data architecture with at least 5+ years in AI/ML solutioning.
• Provide technical leadership on AI application onboarding, agent registration, prompt management, and governance workflow.
• Proven track record of leading AI/ML architecture in large-scale, complex enterprises.
• Hands-on experience with AI/ML and AI/GenAI, including LLMs, Agents, Prompt Engineering, AI governance concepts, and RAG architectures.

Skills

• Deep understanding of AI security, compliance, and governance practices.
• Strong Software Engineering Background with 7-10+ years of hands-on software engineering experience.
• Python, data modelling, and architecture.

Roles & Responsibilities

• Bridge the gap between enterprise architecture and implementation teams.
• Accelerate delivery of AI-related initiatives by converting conceptual requirements into actionable technical designs.
• Develop prototypes, integrations, and frameworks that support enterprise AI adoption.
• Provide technical leadership on AI application onboarding, agent registration, prompt management, and governance workflows.
• Reduce dependency on multiple specialized resources by combining software engineering expertise with architectural thinking.
• Help establish reusable patterns, standards, and design guidance for future AI implementations.