Harbor is looking for a Generative AI Solution Engineer to build and scale our internal generative AI capabilities. You will be responsible for the design, implementation, security, and operational management of generative AI solutions, collaborating closely with Information Security and IT teams.
What You'll Do
- Design, build, deploy, and manage secure and scalable generative AI solutions using both SaaS and local resources.
- Provide guidance, best practices, and support to internal teams utilizing SaaS AI services to build custom applications.
- Design and assist with implementing secure data connectors and ingestion pipelines for enterprise AI services to query internal data sources.
- Collaborate closely with Information Security and IT to define security requirements, implement robust controls, conduct security reviews, and ensure compliance.
- Assist in establishing monitoring and alerting for AI solutions and help develop operational procedures for deployed services.
- Act as a liaison between business stakeholders, technical teams, IT operations, and information security regarding generative AI initiatives.
- Keep abreast of the latest developments in SaaS AI/ML services, generative AI trends, and cloud security best practices.
- Create and maintain clear technical documentation, architecture diagrams, and security guidelines.
- Contribute to the strategic roadmap for AI/ML within the organization.
- Assist with maintaining, developing, and presenting educational material to internal users about effective and safe usage of AI.
What We're Looking For
- 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 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 and the ability to troubleshoot complex technical issues, balancing creative solutions and policy boundaries.
- Strong written and oral communication and interpersonal skills, capable of explaining complex concepts to technical and non-technical audiences.
- Demonstrated experience applying security principles to AI implementations, including data protection, access controls, and threat modeling.
- Understanding of AI-specific security challenges including prompt injection, data poisoning, and model extraction attacks.
Nice to Have
- 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.
- Familiarity with MLOps principles and practices.
- Experience integrating AI services with enterprise applications and data warehouses.
- Experience designing and implementing agentic AI architectures that autonomously perform complex workflows while maintaining security and oversight.
- Familiarity with MCP client/server architecture and associated security risks.
Technical Stack
- AWS: Python, AWS Bedrock, AWS SageMaker, AWS Transcribe, AWS Rekognition, AWS Q Business
- AWS Core Services: IAM, DynamoDB, S3, Lambda, CloudWatch, CloudTrail
- AWS Security: Guardrails, KMS, Secrets Manager
Team & Environment
You will work closely with IT infrastructure and information security teams. Colleagues are knowledgeable, skilled, and experienced and will seek to collaborate and provide mentorship and guidance at every opportunity.
Benefits & Compensation
- Group Medical Insurance options: Zero Deductible PPO Plan (GuidePoint pays 90% of the premium for employees and 70% for family plans) or High Deductible Health Plan with HSA (GuidePoint pays 100% of the employees premiums and 75% for family plans).
- 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.
Work Mode
This is a fully remote position open to candidates located anywhere in the U.S. Harbor operates as a remote workforce.
Harbor is an equal opportunity employer.
