GuidePoint Security ยท 2 months ago
Generative AI Solution Engineer- Remote (Anywhere in the U.S.)
United States
Full-time
Remote
Senior Level
5+ years expGuidePoint Security is a trusted provider of cybersecurity solutions and services, helping organizations minimize risk. They are seeking a skilled Generative AI Solution Engineer/Architect to design, implement, and manage secure generative AI solutions, ensuring compliance with security standards while collaborating with various teams. This role offers a unique opportunity to contribute to the company's AI strategy and expand into advanced machine learning implementations.
Cyber SecurityInformation TechnologySecurity
Responsibilities
Design & Implement GenAI Solutions: Help design, build, deploy, and manage secure and scalable generative AI solutions using both SaaS and local resources
Enable Technical Users: Provide guidance, best practices, and support to internal teams utilizing SaaS AI services to build custom applications
Data Integration: Design and assist with implementing secure data connectors and ingestion pipelines to allow enterprise AI services to query internal organizational data sources (e.g., knowledge bases, document repositories)
Security & Compliance: Collaborate closely with Information Security and IT teams to define security requirements, implement robust security controls (IAM policies, network configurations, data encryption, logging, monitoring), conduct security reviews, and ensure compliance with internal policies and relevant regulations for all AI deployments
Operational Excellence: Assist as needed in establishing monitoring and alerting for applicable AI solutions and help develop operational procedures for deployed AI services. Optimize for performance, scalability, and cost-effectiveness
Collaboration: Act as a liaison between business stakeholders, technical teams, IT operations, and information security regarding generative AI initiatives
Stay Current: Keep abreast of the latest developments in SaaS AI/ML services, generative AI trends, and cloud security best practices
Documentation: Create and maintain clear technical documentation, architecture diagrams, and security guidelines
Future Planning: Contribute to the strategic roadmap for AI/ML within the organization
Facilitate Education: Assist with maintaining, developing, and presenting educational material to internal users about effective and safe usage of AI
Qualification
Required
5+ years of experience in cloud engineering and/or solutions architecture with a significant focus on AWS
Deep hands-on experience specifically implementing, managing, and supporting AI solutions using AWS services within an enterprise context
Strong understanding and practical experience with core AWS services (e.g., IAM, DynamoDB, S3, Lambda, CloudWatch, CloudTrail)
Proven experience designing and implementing secure, cloud-based AI solutions on AWS, including familiarity with AWS security services (e.g., Guardrails, KMS, Secrets Manager)
Enterprise-level experience with AI-focused AWS services such as Bedrock, SageMaker, Transcribe, Rekognition, and Q Business
Demonstrated experience working collaboratively with IT Operations and Information Security teams on cloud deployments and security reviews
Proficiency in at least one relevant programming language, preferably Python
Solid understanding of generative AI concepts, Large Language Models (LLMs), prompt engineering, and foundational AI/ML principles
Excellent problem-solving skills, the ability to troubleshoot complex technical issues, and the patience to come up with creative solutions that work for all stakeholders within policy boundaries
Strong written and oral communication and interpersonal skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Demonstrated experience applying security principles to AI implementations, including data protection, access controls, and threat modeling for AI systems
Understanding of AI-specific security challenges including prompt injection, data poisoning, and model extraction attacks
Preferred
AWS Certified Cloud Practitioner
AWS Certified AI Practitioner
AWS Certified Solutions Architect
AWS Certified Machine Learning Engineer
Understanding or experience with model fine-tuning techniques
Experience with Infrastructure as Code (IaC) tools like AWS CloudFormation, Terraform, OpenTofu, or equivalent technologies
Familiarity with MLOps principles and practices
Experience integrating AI services with enterprise applications and data warehouses
Experience designing and implementing agentic AI architectures that can autonomously perform complex workflows while maintaining appropriate security boundaries and human oversight
Familiarity with MCP client/server architecture and the associated security risks
Benefits
Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans (spouse/children/family) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans (spouse/children/family) and GPS will contribute in one lump sum: ($500 per EE annually / $1000 per family annually (includes spouse/children/family options)
Group Dental Insurance: GuidePoint pays 100% of the premium for employees and 75% of family plans
12 corporate holidays and a 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
Company
GuidePoint Security
GuidePoint Security provides customized, innovative & valuable Information Security solutions that enable commercial federal organizations.
1001-5000 employees
H1B Sponsorship
GuidePoint Security has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (14)
2023 (2)
2022 (1)
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Audax Private Equity
2023-10-10Private Equity
Leadership Team
Michael Volk
Chairman & CEO
J
Joe Leonard
CTO & VP Security Strategy
Recent News
Company data provided by crunchbase