Note: The job is a remote job and is open to candidates in USA. Insight Global's client is a leading company in the gaming and technology industry. The company is seeking an AI Solutions Engineer to transition AI-driven proofs of concept into enterprise-ready production implementations, build AI-enabled security and GRC tools, and support cloud security workflows. The role collaborates with security, GRC, engineering, IT, database, and security operations teams to gather requirements, develop integrations, and implement secure solutions.
Responsibilities
- Bridge the gap between AI-driven Proofs of Concept (PoCs) and enterprise-ready production implementations
- Collaborate directly with the GRC team to gather requirements, build, deploy, and maintain critical GRC tools using AI-centric workflows, with an immediate focus on an initial GRC tool implementation
- Implement and maintain cloud security solutions in large cloud enterprise environments (AWS, GCP, Azure) with thorough knowledge of security systems engineering, security best practices and compliance
- Build cloud-native security and AI-enabled tooling (event-driven, on-demand, etc.)
- Build custom integrations and wrappers around AI platforms, internal systems, and existing 3rd party solutions to achieve desired results
- Map industry-standard security requirements to available security controls
- Identify, analyze and utilize best security practices and compliance requirements before security system's implementation
- Collaborate with adjacent teams (engineering, IT, database, security operations, etc.) to implement security hardening or fix a vulnerability
- Be self-sufficient, proactive, organized, time and goal-focused
Skills
- • Proven experience taking AI/LLM solutions from PoC to production, including deployment, scaling, support, and ongoing ownership
- • Hands-on AI Engineering experience building AI-enabled applications, workflows, automations, or agents using LLMs (OpenAI, Claude, Gemini, etc.)
- • Strong software engineering background with Python preferred (Golang a plus), including APIs, integrations, and production application development
- • Experience leveraging AI to solve business problems, ideally through workflow automation, operational efficiencies, or process transformation
- • Cloud deployment experience (AWS preferred) and ability to work cross-functionally with technical and business stakeholders
- • Excellent communication and stakeholder management skills with experience partnering across multiple business units, gathering requirements, and translating business needs into technical solutions
- • GRC, compliance, risk, or governance experience
- • Experience building AI-integrated security workflows
- • Security engineering or cloud security project experience
- • Security-focused degree or background
- • Agile/Scrum experience
- • Service-oriented architecture experience
- • Golang experience
- • AWS security tooling (Security Hub, IAM, CloudTrail, KMS, EventBridge, etc.)
- • AWS Security Specialty or similar certifications
- • CISSP, CISM, CISA, CCSK, SSCP, or other security certifications
Company Overview
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