Location: Bangalore

Exp: 10+ Years A B O U T T H E R O L E

Youwill deliver AI security outcomesinside enterprise environments and help customers. Working with the Technical Success Lead, you turn agreed outcomes into production integrations, verified controls,and operating practicescustomers can sustain.You build, debug, and validate within a defined engagement scope, then packagewhat works so the next deployment takesless effort.

W H A T Y O U ' L L D O

1. Design and deliver integrations. Across customerAI applications, gateways, coding agents, and agent platforms. Scope dependencies, acceptance criteria, access, and a production rollout plan.
2. Stand up coverage. Validate discovery and telemetry, configure assessments, and deployruntime controls. Establish what is observed, what is enforced, and what stays outside coverage.
3. Verify behavior.Test with representative attacksand legitimate workflows. Measure detection, enforcement, false positives, reliability, and latency against agreed criteria.
4. Debug acrossthe stack. APIs, Linux, containers, cloud,identity, networking, and managed endpoints. Reproduce issues and hand Engineering actionable diagnostics and regression cases.
5. Leave customersself-sufficient. Train operators, leave deployment checks,troubleshooting guidance, and runbooks, and coordinate escalations so issues have clear owners.
6. Make the next one cheaper.Turn repeated work into maintained adapters, validation tools, and automation that another engineer can pick up and use.

W H A T W E ' R E L O O k IN G F O R
1.



Ability to take a customer's business requirements and translate them into shippablecode.
2. Experience shippingand operating softwareor security systemsin enterprise environments, working directly with customer engineering or platform teams.
3. Strong Pythonand shell, with practical use of APIs,Linux, containers, sourcecontrol, and at least one major cloud platform.
4. Ability to diagnose distributed integration problems acrossauthentication, networking, TLS, permissions, or deployment config, and to test a fix before calling it resolved.
5. Hands-on experience with LLM applications or agents, includingtool calls and evaluation. You can reason about prompt injection, data leakage, excessive permissions, and unsafe actions.
6. Explicit communication under delivery pressure, and willingness to travel for customer engagements.

N IC E T O H A V E AI gateways such as Kong or LiteLLM, or agent platforms such as AmazonBedrock AgentCore, AzureAI Foundry, or Google Vertex AI.

Coding-agent hooks,endpoint software distribution, security telemetry pipelines, detection engineering, or adversarial testing.

Maintained integrations, open-source contributions, or runbooks that made other engineers more effective.

H O W W E W O R k W IT H A I

We use AI codingtools and agentsto build integrations, prepare evaluations, investigate issues, and automate recurring work. You will validate what they produce,protect customer information, and leave testedworkflows colleagues can maintain.We look for better customerresults and less repeated effort,supported by evidence.

Share your resumes to [email protected]

📌 Forward Deployment Engineer-AI Security (Bangalore Metropolitan Area)
🏢 CareerXperts Consulting
📍 Bangalore Metropolitan Area