
201 - 500 employees
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
GuidePoint Security is a cybersecurity firm offering consulting, engineering, and managed services to help organizations secure their digital assets. The company specializes in application security, cloud security, data protection, email security, threat intelligence, and identity and access management. With solutions tailored to various platforms including AWS, Microsoft, Google Cloud, and OT environments, GuidePoint Security aims to enhance cybersecurity resilience for both enterprise and government clients. They focus on integrating advanced security technologies and providing expertise in risk assessment, compliance, and security awareness education, helping clients navigate complex cybersecurity challenges and improve their security posture.
🔥 12 hours ago
🇺🇸 United States – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
📚 Research Engineer
🦅 H1B Visa Sponsor
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201 - 500 employees
đź’Ľ Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
GuidePoint Security is a cybersecurity firm offering consulting, engineering, and managed services to help organizations secure their digital assets. The company specializes in application security, cloud security, data protection, email security, threat intelligence, and identity and access management. With solutions tailored to various platforms including AWS, Microsoft, Google Cloud, and OT environments, GuidePoint Security aims to enhance cybersecurity resilience for both enterprise and government clients. They focus on integrating advanced security technologies and providing expertise in risk assessment, compliance, and security awareness education, helping clients navigate complex cybersecurity challenges and improve their security posture.
• Design, build, deploy, and manage secure and scalable generative AI solutions using SaaS and local resources • Guide internal technical users with best practices and support for SaaS AI services and custom applications • Design and assist with secure data connectors and ingestion pipelines for enterprise AI access to internal data sources • Collaborate with Information Security and IT teams to define requirements, implement IAM, network, encryption, logging, and monitoring controls, conduct security reviews, and ensure compliance • Establish monitoring and alerting and develop operational procedures for deployed AI services • Optimize AI solutions for performance, scalability, and cost-effectiveness • Liaise between business stakeholders, technical teams, IT operations, and information security • Track developments in SaaS AI/ML services, generative AI, and cloud security • Create and maintain technical documentation, architecture diagrams, and security guidelines • Contribute to the organization’s AI/ML strategic roadmap • Develop and present educational materials on effective and safe AI usage
• 5+ years of experience in cloud engineering and/or solutions architecture with a significant focus on AWS • Deep hands-on experience implementing, managing, and supporting enterprise AI solutions using AWS services • Strong understanding and practical experience with AWS services including IAM, DynamoDB, S3, Lambda, CloudWatch, and CloudTrail • Experience designing and implementing secure cloud-based AI solutions on AWS • Familiarity with AWS security services including Guardrails, KMS, and Secrets Manager • Enterprise-level experience with AWS AI services such as 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 concepts, LLMs, prompt engineering, and foundational AI/ML principles • Problem-solving and complex technical troubleshooting skills • Strong written, oral communication, and interpersonal skills • Experience applying security principles to AI implementations, including data protection, access controls, and threat modeling • Understanding of AI security challenges including prompt injection, data poisoning, and model extraction attacks • Up to 10% travel • Sedentary work and substantial wrist, hand, and/or finger movement for at least 8 hours daily • Close visual acuity for computer terminal viewing and/or extensive reading for at least 8 hours daily • Preferred: AWS Certified Cloud Practitioner, AWS Certified AI Practitioner, AWS Certified Solutions Architect, or AWS Certified Machine Learning Engineer • Preferred: model fine-tuning, IaC tools, MLOps, enterprise application/data warehouse integration, agentic AI architectures, and MCP client/server architecture
• Remote workforce primarily (U.S. based only, some travel may be required for certain positions, working on-site may be required for Federal positions) • Group Medical Insurance options: Zero Deductible PPO Plan with GuidePoint paying 90% of employee premiums and 70% of family premiums • High Deductible Health Plan with HSA with GuidePoint paying 100% of employee premiums and 75% of family premiums • HSA contributions of $850 annually for employees or $1,750 annually for family plans • Group Dental Insurance with GuidePoint paying 100% of employee premiums and 75% of family premiums • 12 corporate holidays • Flexible Time Off (FTO) program • Healthy mobile phone and home internet allowance • Eligibility for retirement plan after 2 months at open enrollment • Pet Benefit Option • Collaboration, mentorship, and guidance opportunities
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