Innovation Engineer- Remote (Anywhere in the U.S.)

GuidePoint Security
United States
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 5+ yearsSkills: ["Patience","Self-motivation","Problem-solving","Communication","Interpersonal skills"]

Design, build, deploy, and operate secure, scalable generative AI solutions leveraged internally. Integrate enterprise data sources via secure connectors and ingestion pipelines, while partnering with IT and information security to implement controls across IAM, encryption, logging, monitoring, and compliance. Provide enablement to technical users, establish operational procedures, optimize performance and cost on AWS, and help shape the organization’s AI/ML roadmap.

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GuidePoint Security
GuidePoint Security
1 day ago

Innovation Engineer- Remote (Anywhere in the U.S.)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 52 minutes agoStatus: Live

Job Summary

Design, build, deploy, and operate secure, scalable generative AI solutions leveraged internally. Integrate enterprise data sources via secure connectors and ingestion pipelines, while partnering with IT and information security to implement controls across IAM, encryption, logging, monitoring, and compliance. Provide enablement to technical users, establish operational procedures, optimize performance and cost on AWS, and help shape the organization’s AI/ML roadmap.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Design, build, deploy, and manage secure and scalable generative AI solutions using SaaS and local resources.
  • •Provide guidance, best practices, and support for internal teams using SaaS AI services to build custom applications.
  • •Design and implement secure data connectors and ingestion pipelines so enterprise AI services can query internal data sources.
  • •Collaborate with IT and information security to define security requirements, implement controls (IAM, network, encryption, logging/monitoring), perform security reviews, and ensure compliance.
  • •Help establish monitoring/alerting and operational procedures for deployed AI services while optimizing performance, scalability, and cost.
Travel: Low travel

Pay and Benefits

Perks:Health InsuranceDentalPaid LeaveRetirementInternet AllowancePhone AllowancePet Insurance

Key Requirements

  • •5+ years of cloud engineering and/or solutions architecture with a significant focus on AWS.
  • •Deep hands-on experience implementing, managing, and supporting AI solutions using AWS services in an enterprise context.
  • •Strong practical knowledge of core AWS services including IAM, DynamoDB, S3, Lambda, CloudWatch, and CloudTrail.
  • •Experience designing and implementing secure AWS-based AI solutions, including AWS security services such as Guardrails, KMS, and Secrets Manager.
  • •Proficiency in at least one relevant programming language, preferably Python.
Experience:5+ years
Skills:PatienceSelf-motivationProblem-solvingCommunicationInterpersonal skills
Certifications:AWS Certified Cloud PractitionerAWS Certified AI PractitionerAWS Certified Solutions ArchitectAWS Certified Machine Learning Engineer
Tech Stack:AWSAmazon BedrockAmazon SageMakerAWS TranscribeAmazon RekognitionQ BusinessIAMDynamoDBS3LambdaCloudWatchCloudTrailGuardrailsKMSSecrets ManagerCloudFormationTerraformOpenTofuIaCMLOps

Company Brief

GuidePoint Security
Provides cybersecurity consulting, managed security services, incident response, cloud and network security, and compliance solutions to enterprises and government organizations, helping clients identify, mitigate, and respond to cyber threats across complex environments.
Industry: Cybersecurity
Company Size: Large (251 to 1,000 employees)
Growth: Established Company
Headquarters: Herndon, United States
Founded: 2010
WebsiteLinkedIn