Job Role: AI Gateway Engineer Locations: Jersey City NJ, Dallas TX & Tampa FL Work mode: Hybrid Experience: 8 to 12 Years Employment: W2 We are seeking an experienced Senior AI Gateway Engineer to lead the architecture, …
Skills: Kong AI Gateway, Cloud Architecture, AI Security, Identity and Access Management, Resiliency Engineering
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Full-time
bachelor degree, postgraduate degree
Posted 17d ago
~40 hrs/week
Responsibilities
The AI Gateway Engineer will lead the architecture, engineering, and operational management of the enterprise AI Gateway platform. This includes implementing secure integration patterns for LLMs, AI agents, and RAG services while ensuring compliance and resiliency in a regulated environment.
Requirements
Candidates must have 8 to 12 years of experience in enterprise platform engineering, with specific expertise in Kong AI Gateway and cloud security. A bachelor's degree in a technical field is required, and experience within the financial services industry is strongly preferred.
Full job description
Job Role: AI Gateway Engineer
Locations: Jersey City NJ, Dallas TX & Tampa FL
Work mode: Hybrid
Experience: 8 to 12 Years
Employment: W2
We are seeking an experienced Senior AI Gateway Engineer to lead the architecture, engineering, security, and operational management of our enterprise AI Gateway platform with a primary focus on Kong AI Gateway.
This role will serve as the technical authority responsible for enabling secure, resilient, compliant, and scalable consumption of Large Language Models (LLMs), AI Agents, Retrieval Augmented Generation (RAG) services, Model Context Protocol (MCP) services, and Agent-to-Agent (A2A) communications across the enterprise.
The successful candidate will combine expertise in Kong AI Gateway, cloud architecture, AI security, identity and access management (IAM), resiliency engineering, and enterprise governance to deliver a highly available AI platform that meets the demands of a regulated financial services environment.
Key Responsibilities
AI Gateway Architecture & Engineering
Design, implement, and evolve enterprise AI Gateway solutions using Kong AI Gateway and Kong Enterprise.
Develop standardized onboarding patterns for applications, AI agents, and business services consuming AI.
Engineer reusable integration patterns for OpenAI, Azure OpenAI, AWS Bedrock, Anthropic, Snowflake Cortex, and internal and external AI services.
Implement intelligent model routing, failover, traffic shaping, and provider abstraction.
Develop custom Kong plugins and integrations supporting AI-specific governance and security requirements.
Define scalable control plane and data plane deployment architectures across hybrid and multi-cloud environments.
Identity & Access Management for AI
Architect and implement enterprise-grade identity controls for AI platforms.
Integrate Kong AI Gateway with enterprise identity providers and IAM platforms.
Establish fine-grained authorization controls at the model, agent, tool, prompt, and data source levels.
Design identity propagation patterns across AI workflows and MCP services.
Partner with security and compliance teams to establish AI governance and Zero Trust controls.
AI Security, Governance & Risk Management
Implement AI security guardrails and policy enforcement mechanisms.
Design controls for prompt injection protection, data loss prevention (DLP), PII detection and redaction, content safety enforcement, prompt and response filtering, and model access governance.
Establish policy-as-code practices to manage AI controls at scale.
Define logging, monitoring, and audit controls supporting regulatory and compliance requirements.
Collaborate with Risk, Compliance, Legal, Data Protection, and AI Governance teams.
Resiliency, Reliability & Operational Excellence
Design highly available and resilient AI platform architectures.
Establish enterprise resiliency requirements including multi-region deployment strategies, provider failover, cross-cloud recovery patterns, active-active architectures, disaster recovery, and business continuity controls.
Define and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), error budgets, Recovery Time Objectives (RTOs), and Recovery Point Objectives (RPOs).
Conduct architecture reviews, resilience testing, and failure scenario exercises.
Cloud & Data Platform Integration
Design AI access patterns across Microsoft Azure, Amazon Web Services (AWS), and Snowflake.
Integrate AI Gateway services with Azure OpenAI, AWS Bedrock, Snowflake Cortex, vector databases, data protection platforms, and enterprise observability tooling.
Ensure secure connectivity and standardized governance across multi-cloud environments.
Observability & Platform Operations
Build enterprise observability capabilities for AI workloads.
Implement monitoring, metrics, tracing, and audit logging.
Analyze token consumption, latency, model utilization, cost optimization opportunities, and security events.
Create operational dashboards for engineering, security, risk, and executive stakeholders.
Support incident response and platform troubleshooting efforts.
Required Qualifications
Education
Bachelor's degree in Computer Science, Cyber Security, Information Technology, Engineering, or related discipline.
Master's degree preferred.
Experience
8+ years of experience designing and operating enterprise API, application, or cloud platforms.
5+ years of experience in cloud architecture and security.
3+ years working with AI/ML platform technologies or enterprise AI deployments.
Hands-on experience implementing and managing Kong Gateway and Kong Enterprise solutions.
Experience within regulated industries such as financial services, banking, insurance, or capital markets strongly preferred.
Preferred Qualifications
Kong Certified Professional certification.
AWS Solutions Architect certification.
Microsoft Azure Solutions Architect certification.
CISSP, CCSP, or equivalent security certification.
Experience implementing AI security controls and governance frameworks.
Familiarity with NIST AI RMF, NIST 800-53, NYDFS 500, PCI DSS, SOC 2, and other financial services regulatory requirements.
Experience with DSPM, DLP, and enterprise data protection controls.
Key Success Metrics
Successful deployment and adoption of enterprise AI Gateway services.
Reduction of direct AI provider integrations through centralized governance.
Achievement of enterprise resiliency and availability targets.
Compliance with security, privacy, and regulatory requirements.
Improved AI observability, auditability, and cost management.
Successful implementation of AI identity and authorization controls.
Reduction in AI-related security risks and policy violations.
Related keywords
Kong AI GatewayLLMRAGMCPCloud ArchitectureIAMOAuth 2.0OIDCJWTmTLSRBACABACZero TrustPrompt InjectionDLPPII
We follow a customer first approach and collaborate with our clients to identify what is important for their business.We understand the synergy between the journey and the destination. We leverage innovative and collaborative processes to consistently achieve targeted outcomes.We specialize in providing clients with a hands-on approach that produces actionable strategies and practical solutions. We are committed to achieving results that surpass our clients’ expectations.
Offices: 50 WEST, 40 street, New York , New York 10018, US
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Based on 841 listings with disclosed salaries, most technology jobs in Tampa, FL pay between $70k–$202k per year. Individual offers vary with seniority, company size, and specialization.
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