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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI platform configuration, API integrations, and secure secrets management, with a strong focus on monitoring, observability, and incident response. Capable of documenting technical processes for diverse audiences and collaborating effectively with cross-functional teams.
Highest-signal resume keywords
AI Platform ConfigurationAPI IntegrationsMonitoring and Observability ToolsIncident ResponseDocumentation Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Configuration ManagementJSONYAMLAutomationLoggingMetricsAlertsChange ManagementML/AI OperationsPrompt Engineering
Soft Skills
CollaborationClear Communication
Tools & Technologies
SaaS SystemsOrchestration ToolsAccess Control ToolsSecurity Tools
Industry Keywords
GovernanceComplianceRisk FrameworksIncident Management
About the role
Key responsibilities & impact- Own day-to-day configuration of AI platforms and orchestration tools
- Design, configure, and maintain connectors and extensions into SaaS systems, data sources, and workflow tools
- Set up and maintain logging, metrics, and alerts for AI workflows and tools
- Implement secure storage and rotation for API keys, tokens, and credentials
- Maintain access control configurations and partner with Security/IT on reviews and remediation
- Implement model swaps, policy updates, prompt changes, version upgrades, and production rollout plans
- Maintain detailed change records and rollback paths
- Run experiments and benchmarks on models, tools, and configurations
- Translate logs, metrics, and incidents into risk, reliability, and compliance narratives
- Co-author operational playbooks, runbooks, and training materials
- Participate in training or office hours
- Triage, investigate, mitigate, fix, and document workplace AI incidents and production issues
- Report to the Head of AI Operations & Governance (Enterprise AI)
Requirements
What you’ll need- 4–7+ years in roles such as platform engineer, DevOps/SRE, ML/AI operations, or technical SaaS operations, with hands-on responsibility for production systems
- Strong fluency in APIs, integrations, and infrastructure-as-config concepts
- Ability to work in code/JSON/YAML configuration environments and with automation
- Hands-on experience with monitoring and observability tools, including logs, metrics, and alerts
- Practical experience with at least one class of AI or automation platforms
- Comfort with secure secrets management and access control practices
- Ability to document technical work and decisions clearly for technical and non-technical audiences
- Experience in ML/AI ops specifically, preferred
- Familiarity with prompt engineering, policies/guardrails, and LLM configuration patterns, preferred
- Exposure to governance, compliance, or risk frameworks, preferred
- Experience collaborating with Security, Legal, and business stakeholders, preferred
- Prior involvement in incident response, change management, or on-call rotations, preferred
- Offers contingent on a cleared background and possible reference check
Benefits
Comp & perks- Bonus
- Benefits
- Equity
- Temporary benefits package applicable after 60 days of employment for temporary employees