Overview

Remote, India

We are seeking a Forward Deployed Engineer (GCP) to design, build, and integrate custom agentic workflows and production-ready enterprise AI solutions for a leading insurance client. In this role, you will bridge the gap between cutting-edge Google Cloud AI capabilities, BigQuery data infrastructure, and Apigee AI Gateway to deploy scalable, secure insurance agents into client environments.

Key Responsibilities

• Build and deploy enterprise agent systems using Google's Agent Development Kit (ADK) and Vertex AI Agent Engine, ensuring agents coordinate, self-correct, and complete workflows reliably.
• Implement multi-tier protection layers, including logic limiters in Cloud Functions, financial budget caps via GCP Quotas, and semantic safety controls with GCP Model Armor to stop data leaks.
• Use Apigee AI Gateway to secure, throttle, and govern tool calls between AI agents, core enterprise services, and customer communication channels like Karix telephony.
• Apply zero-trust standards (mTLS, Workload Identity, RBAC, Maker≠Checker approvals) and use cryptographic signatures to verify data origin and history.
• Implement grounded RAG on Vertex AI Vector Search with source citations, automate sensitive data redaction using Cloud DLP, and set up Pub/Sub triggers to delete data upon consent revocation.
• Set up OpenTelemetry tracing and BigQuery audit logs to meet Observability Gate G9 standards, encoding industry rules (IRDAI claims deadlines, DPDP data residency, HIPAA, and TCPA/DNC) directly into software checks.

Required Skills

• 3+ years of hands-on experience building and deploying AI agent architecture and LLM applications natively on Google Cloud Platform (GCP).
• 5+ years of professional software development experience in Python or Go, with production expertise in asynchronous programming, microservices, and API design.
• Proven track record architecting and launching production-grade AI/ML applications, LLM workflows, or Agentic systems from concept through post-go-live support.
• Deep familiarity with BigQuery, Vertex AI Search & Conversation, Cloud Run, Pub/Sub, Cloud Storage, and IAM.

Preferred Skills

• Experience implementing Apigee AI Gateway for securing, routing, and managing enterprise API traffic and LLM endpoints.
• Experience implementing multi-agent systems using frameworks (e.g. ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Google Cloud Certified (e.g., Professional Cloud Architect or Professional Machine Learning Engineer).
• Domain background in regulated or financial services.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.

Other Details

What's in it for you?

• Build the "Next" Tech working heavily on AI, you will be using the newest models, to build agents to solve our customers problems.
• Elite Engineering Culture: Work alongside ex-Googlers and cloud experts. We prioritize clean code, high velocity shipping, and technical excellence over politics.
• Pure GCP Playground: You get full access to Agent Platform ecosystem (Gemini models, Vector Search, Agent Engine) along with Apigee AI Gateway to construct end-to-end enterprise solutions.
• Verified Happiness: Join a team objectively recognized as a "Best Place to Work" for two years running. We take culture as seriously as we take our architecture.