AgenticOps Platform Engineer Lead (Baddi)

We are looking for a senior, hands-on AgentOps Platform Engineer to design, build, and operate the cloud-native infrastructure that powers our AI agents at scale. This is a lead-by-example role:
- You write the Terraform
- You build the pipelines
- You own the platform in production GCP is your primary environment, but you will design with multi-cloud in mind (AWS, Azure), ensuring portability, resilience, and long-term flexibility. This role sits at the intersection of DevOps, MLOps, and AgentOps, with deep responsibility for reliability, security, observability, and cost. KEY RESPONSIBILITIES Platform & Infrastructure Ownership
- Design, build, and operate production-grade infrastructure for AI agents and LLM services
- Own Terraform-based Infrastructure as Code for all environments (dev, uat, prod)
- Lead infrastructure decisions through hands-on implementation, not diagrams
- Build scalable foundations for: Agent orchestration Inference services RAG pipelines Vector stores
- Optimise cloud resources for performance and cost efficiency AgentOps & AI Platform Enablement
- Enable safe, continuous operation of autonomous agents
- Design agent runtime environments with: Isolation & sandboxing Failover and recovery strategies Controlled rollout mechanisms
- Support prompt/version management, agent configuration, and tool/plugin lifecycle
- Work closely with Agentic RAG engineers to operationalise research into production CI/CD & Automation
- Build and maintain CI/CD pipelines for: Infrastructure Agent services Prompt and config changes Model/version rollouts
- Automate workflows for: Vector DB updates RAG index refreshes Agent memory stores Tool registration and validation
- Reduce manual ops toil aggressively through automation Observability & Production Readiness
- Design and implement deep observability for agent systems: Platform health Agent execution metrics Latency, cost, and throughput Failure modes and retries
- Build dashboards, alerts, and telemetry using: Prometheus Grafana OpenTelemetry (or equivalent)
- Enable visibility into agent decision traces and runtime behavior Security, Safety & Reliability
- Implement secure cloud architecture and IAM best practices
- Own production reliability, incident response, and recovery
- Enforce operational guardrails and safety controls for agent APIs
- Support responsible AI practices from an infrastructure and runtime perspective Collaboration & Technical Leadership
- Work closely with: Agentic RAG engineers AI engineers Product & CTO Office
- Define SLOs, reliability targets, and operational metrics
- Set the technical bar for AgentOps at BridgeAI
- Mentor engineers by example and code, not process overhead REQUIRED SKILLS & EXPERIENCE Core Platform & DevOps
- 5+ years in DevOps, Platform Engineering, SRE, or MLOps
- Strong, hands-on experience with GCP: GKE / Compute Engine Cloud Run / Functions Cloud Storage, Pub/Sub Vertex AI (or equivalent)
- Deep experience with Terraform (mandatory) Containers, CI/CD & Automation
- Docker, Kubernetes, Helm
- CI/CD tooling (GitHub Actions, Jenkins, ArgoCD)
- Python and Bash for automation and platform glue code Agentic & AI Systems
- Experience supporting LLM-based systems in production
- Understanding of: Prompt/version management Context handling & caching Model rollout strategies
- Hands-on experience with vector databases (Weaviate, FAISS, Pinecone)
- Familiarity with RAG pipelines and agent execution patterns Observability & Security
- Monitoring and telemetry using Prometheus, Grafana, OpenTelemetry
- Strong understanding of cloud security, IAM, and operational safety NICE TO HAVE
- Multi-cloud experience (AWS, Azure)
- Exposure to agent frameworks (LangChain, LangGraph, AutoGen, CrewAI)
- Event-driven systems (Temporal, Airflow)
- Experience with responsible AI operations or safety monitoring WHAT SUCCESS LOOKS LIKE
- Infrastructure is reproducible, observable, and boring (in a positive way)
- Agent failures are visible, debuggable, and recoverable
- Cloud costs are understood and controlled
- Engineers trust the platform and move faster because of it
- You are the go-to authority for AgentOps at BridgeAI WHAT THIS ROLE IS (AND IS NOT)
- Deeply hands-on
- Terraform-first
- Production ownership
- Sets standards by building
- Not a people-manager role
- Not a ticket-based ops role
- Not a “just keep the lights on” job Apply on Kit Job: kitjob.in/job/4melej