# Connectly Recruiting — Platform Engineer (AI)

- Generated: 2026-09-24 02:14:43 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4469606915/
- Provider: LinkedIn
- Posting time: 19 hours ago
- Applicants: 95 applicants
- Work model/location: Remote — United States
- Compensation: Not disclosed; the title is outside Keith's missing-compensation exception
- Travel: Not disclosed
- Positioning track: Technical IC
- Fit outcome: FAIL — 94%

## Evidence map and direct-match strengths

- Exceptional technical match for agent control planes, policy enforcement, approvals, auditability, connectors, retries, circuit breakers, identity, AWS, containers, LLMs, agents, and regulated systems.

## Hard or material gaps

Hard compensation-verification gap: no annual compensation is disclosed for a non-Director/VP/Chief title. The role is also materially below Keith's recent scope and carries overqualification risk. Its 95-applicant count would not independently exclude this 80%+ fit.

## Full normalized job description

Our client is building a platform that governs how AI agents interact with enterprise systems, including what they can access, what requires approval, and how every action is recorded. They're looking for an AI Platform Engineer to help build it from the ground up.
This is a greenfield build from an established design spec, ideal for an engineer who wants to shape a platform from day one.
Key Responsibilities
Build the core control-plane infrastructure that enforces separation between propose, decide, and execute actions across all agents
Implement business-rule and guardrail engines, risk-model registries, and configuration-governance workflows, including dual approval, versioning, and rollback
Build access-control and policy-enforcement layers (OPA/Cedar-style policy engines) scoped beyond native system-of-record roles
Implement immutable, hash-chained audit logging that satisfies enterprise compliance evidence requirements
Build the governed connector framework, including staging, retry, and circuit-breaker logic, that mediates all writes back to systems of record
Stand up identity and workload-identity infrastructure (SPIFFE, Entra ID federation, or similar) for agent registration and authentication
Implement observability instrumentation (OpenTelemetry, tracing/spans) so every governed action is traceable end to end
Build and maintain the synthetic test data environment and scenario/regression harness used to validate the platform independent of production systems
Collaborate with the Solutions Architect to keep the platform's integration contract stable and backward-compatible as new agents onboard
Support infrastructure provisioning and deployment automation, including containerization and CI/CD
What You Bring
5+ years in backend, platform, or infrastructure engineering on production systems
Hands-on experience building policy/access-control systems, audit logging, or workflow orchestration (OPA, Cedar, Temporal, SPIFFE, or comparable tools)
Solid working knowledge of LLMs and AI agents, including how they connect to enterprise systems and the risks they introduce
Production experience with AWS
Experience with containerized deployments (Kubernetes, EKS, ECS, or similar)
Identity and authentication experience (OAuth/OIDC, Entra ID, or similar)
Comfort building from a design spec with limited existing code
Bachelor's degree in computer science, engineering, or a related field, or equivalent experience
Preferred Experience
AWS certifications (Solutions Architect, DevOps Engineer, Security Specialty, or Machine Learning)
Hands-on experience building AI agents or LLM applications
Experience integrating enterprise middleware (ESBs, message queues) and legacy systems of record
Familiarity with compliance-driven audit requirements (SOX ITGC, NERC-CIP, HIPAA, or similar)
Experience building AI governance or control-tower platforms, including approval routing, risk scoring, and agent onboarding
Background supporting critical infrastructure or highly regulated environments
Why Join
Competitive salary and a comprehensive benefits package
Fully remote, with flexible work arrangements that support work-life balance
Clear paths for professional growth and career advancement
Certification support to keep building your skills
An inclusive, collaborative culture where your work is visible and valued