Collaborate with cross-functional teams to identify GenAI value opportunities.
Lead lifecycle of GenAI apps and Autonomous Agents to production rollouts.
Conduct technical audits of AI tech; lead Build vs. Buy analyses for scalability and security.
Run AI training sessions for technical and non-technical teams to boost literacy.
Build/evolve Enterprise AI stack; scout and integrate next-gen platforms and agentic frameworks.
Liaise between IS/IT/Legal/Data to ensure secure, compliant AI solutions.

🎯 Requirements

Deep understanding of LLM lifecycle: Prompt Engineering, RAG, fine-tuning.
Hands-on Agentic workflows with Google ADK, AgentCore, n8n, Workato.
Full-stack web development; mastery of coding agents tools and best practices.
Secure integration patterns; RESTful APIs, JSON data modeling, OAuth 2.0/OIDC, MCP.
Salesforce Core/Data Cloud and Agentforce experience.
Project management skills and product mindset.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Engineering Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot