Forward Deployed Engineer (Senior level)

Role Summary:

Design, build, and deploy enterprise-grade AI agents using code-first frameworks, with strong focus on agent architecture, tool integration, grounding/RAG, and secure identity patterns. Ensure agents are production-ready through measurable evaluation, traceable source attribution, human-in-the-loop controls, CI/CD deployment, and stakeholder-driven delivery.

Job Responsibilities:

Agent Design & Build

• Design agent architectures - single-agent, multi-agent and orchestrator/worker patterns - selecting the right pattern for each use case.
• Build agents on Microsoft Copilot Studio and code-first frameworks (Semantic Kernel, LangGraph, LangChain, Autogen or equivalent).
• Engineer instructions, system prompts and reasoning flows; implement deterministic guardrails around non-deterministic model behavior.
• Define and implement tool/function calling - API actions, connectors, custom plugins - with robust error handling and fallback paths.
• Implement human-in-the-loop checkpoints, approval flows and escalation-to-human paths where decisions carry business or regulatory risk.
• Build agent memory and state management - conversation context, session state and long-term knowledge persistence.

Grounding & Knowledge Engineering

• Build RAG pipelines: chunking strategy, embedding selection, vector indexing, hybrid and semantic retrieval, re-ranking.
• Connect agents to enterprise knowledge sources - SharePoint, Dataverse, Graph connectors, relational stores and document repositories.
• Tune retrieval quality and diagnose grounding failures, hallucination and citation accuracy issues.
• Implement source attribution so every agent answer is traceable to its grounding evidence.

Integration & Deployment

• Integrate agents with enterprise systems - ServiceNow, Microsoft Graph, Power Platform, REST APIs and internal services.
• Implement authentication and authorization patterns - Entra ID app registration, SSO, managed identity, delegated vs application permissions, least privilege.
• Deploy agents through Teams, M365 Copilot, web channels and API endpoints as the use case requires.
• Build CI/CD pipelines for agent solutions with environment promotion (dev → test → prod) and version control.

Qualifications:

• Bachelor's Degree or equivalent experience in Computer Science, Technology, or a related field of study
• Must have at least 4 years of relevant experience.
• Has experience in production delivery of at least two LLM-based or agentic applications - not prototypes or demos.
• Good working knowledge of Python and/or C#/.NET, with clean API design and solid software engineering fundamentals.
• Hands-on experience with an agent framework: Semantic Kernel, LangGraph/LangChain, Autogen, or equivalent.
• Deep prompt engineering skills: system prompt design, few-shot patterns, structured output, chain-of-thought control, instruction hierarchies.
• RAG implementation experience end to end, including vector stores (Azure AI Search, Chroma, pgvector or similar) and retrieval tuning.
• Azure AI Foundry experience - deployments, quotas, content filters, model routing.
• Tool/function calling design including schema definition, argument validation and failure recovery.
• Enterprise identity and API integration - Entra ID, OAuth 2.0, app registrations, scoped permissions.
• Must be amenable to work on a night shift schedule (8:00 PM to 5:00 AM or 9:00 PM to 6:00 AM)
• Must be amenable to work in the office at least 2-3x a week (Alabang).