Innovation Engineer- Remote (Anywhere in the U.S.)
GuidePoint Security5 hours ago
Responsibilities
- Design, build, deploy, manage, and scale secure generative AI solutions using AWS, SaaS, and local resources.
- Guide internal technical users on best practices and support for SaaS AI services and custom applications.
- Design and implement secure connectors and ingestion pipelines for enterprise data sources such as knowledge bases and document repositories.
- Define and implement AI security controls, including IAM policies, network configurations, encryption, logging, monitoring, security reviews, and compliance measures.
- Establish monitoring, alerting, and operational procedures while optimizing AI services for performance, scalability, and cost.
- Coordinate generative AI initiatives among business stakeholders, technical teams, IT Operations, and Information Security.
- Maintain technical documentation, architecture diagrams, security guidelines, and internal AI education materials.
- Track AI and cloud security developments and contribute to the organization’s AI/ML roadmap.
Requirements
- 5+ years of cloud engineering and/or solutions architecture experience with significant AWS focus.
- Hands-on enterprise experience implementing, managing, and supporting AI solutions using AWS services.
- Strong practical knowledge of AWS IAM, DynamoDB, S3, Lambda, CloudWatch, and CloudTrail.
- Experience designing secure cloud-based AI solutions and using AWS security services such as Guardrails, KMS, and Secrets Manager.
- Enterprise experience with AWS Bedrock, SageMaker, Transcribe, Rekognition, and Q Business.
- Experience collaborating with IT Operations and Information Security teams on cloud deployments and security reviews.
- Proficiency in at least one relevant programming language, preferably Python.
- Understanding of generative AI, large language models, prompt engineering, and foundational AI/ML principles.
- Experience applying security principles to AI systems, including data protection, access controls, threat modeling, prompt injection, data poisoning, and model extraction defenses.
- Strong troubleshooting, problem-solving, written communication, oral communication, and stakeholder collaboration skills.
- Preferred: AWS Certified Cloud Practitioner, AWS Certified AI Practitioner, AWS Certified Solutions Architect, or AWS Certified Machine Learning Engineer.
- Preferred: model fine-tuning, Infrastructure as Code, MLOps, enterprise application and data warehouse integration, agentic AI architecture, or MCP client/server architecture experience.
Benefits
- Primarily remote work within the U.S.; some travel or on-site work may be required for certain positions.
- Up to 10% travel.
- Medical insurance options including a zero-deductible PPO and a high-deductible HSA plan with employer premium contributions.
- Dental insurance with employer-paid employee premiums and partial family-plan contributions.
- 12 corporate holidays and a Flexible Time Off program.
- Mobile phone and home internet allowance.
- Retirement plan eligibility after two months at open enrollment.
- Pet benefit option.
Categories
About GuidePoint Security
GuidePoint Security provides trusted cybersecurity expertise, solutions, and services that help organizations make informed decisions and minimize risk. Our experts act as your trusted advisor to understand your business and challenges, helping you through an evaluation of your cybersecurity posture and ecosystem to expose risks, optimize resources and implement best-fit solutions. GuidePoint’s unmatched expertise has enabled 40% of Fortune 500 companies and more than half of U.S. government cabinet-level agencies to improve their security posture.