About the role
About the Role
As an Agent / AI Engineer, you will build the AI layer of the GCC Intelligence Platform—the conversational agent users interact with. You will own grounding, retrieval, persona routing, session state, and permission-aware querying so the agent stays accurate, secure, and tenant-safe.
What You’ll Do
LLM & Agent Integration
- Integrate LLM APIs (e.g., AzureOpenAIor equivalent) for conversational workflows.
• Build a grounding layer that anchors responses to real platform data (not model guesses).
• Maintain prompt templates across multiple personas and use-cases.
Retrieval, Permissions & Security Boundaries
- Implement intent classification and persona routing to the right KPI views.
• Build the API handler that sets DB sessionvariables so RLS/ABAC policies enforce correctly.
• Own JWT validation and permission registry lookups that control access.
Reliability & Cost Controls
- Build session state management, safe retries, and failure handling.
• Implement token budgeting, tracking, and enforcement per tenant.
• Improve accuracy baselines through structured evaluation and regression checks.
What You Bring
Qualifications & Experience
- 3+ years building with LLM APIs in production (OpenAI/Azure/Anthropic or similar).
• Experience shipping grounding/RAG systems to real users.
• Strong Python for agent logic, APIs, and prompt management.
• Understanding of how auth/session context interacts with database queries.
Key Skills
- Prompt engineering across user types and tasks.
• Accuracy-first mindset—grounded correctness as a constraint, not a feature.
• Strong debugging and evaluation discipline.
What Success Looks Like – Globalization Excellence (GE)
- Agent answers staygrounded—accuracyimproves and hallucinations reduce.
• Access is safe—tenant boundaries are respected every time.
• Persona routing feels natural—users get the right view, right detail, right format.
• Costs stay controlled—token governance and caching/optimization reduce overrun risk.
If you enjoy building secure, grounded AI agents that executives can trust, and shipping AI systems with strong evaluation discipline — this role offers both impact and progression.