AI Solutions Architect / AI Engineering Advisor | Remote Contract Opportunity [ FastWater Staffing ]

📍 Location: Fully Remote (Maryland, U.S.)
📄 Type: Contract
🚀 Start: Immediate
💲 Compensation: TBD — based on skills and experience

Important Screening Requirements

• Candidates must be willing to undergo fingerprinting and a government background investigation (CJIS-type clearance process).
• This position requires eligibility to work in the United States without current or future visa sponsorship. (Green Card holder)

About the Role

We are seeking an experienced AI Solutions Architect / AI Engineering Advisor to lead the design, strategy, and deployment of Generative AI solutions on AWS. This is a highly consultative and stakeholder-facing role that combines deep technical expertise with strategic advisory responsibilities.

The ideal candidate will serve as a trusted advisor to customer leadership teams, helping define AI roadmaps, governance frameworks, and scalable architectures while guiding the successful implementation of AI-powered applications.

Key Responsibilities

• Design and architect Generative AI solutions on AWS
• Advise customer leadership on AI strategy, adoption, and governance
• Build and deploy scalable AI applications leveraging Amazon Bedrock and foundation models
• Design Retrieval-Augmented Generation (RAG) architectures
• Implement embeddings and vector database solutions
• Evaluate and recommend foundation models based on business requirements
• Establish AI governance, security, and responsible AI best practices
• Collaborate with engineering teams to operationalize AI solutions in production
• Provide architectural guidance and technical leadership across AI initiatives

Required Qualifications

• 5+ years of experience in cloud architecture, AI/ML, software engineering, or related fields
• Hands-on experience designing and deploying Generative AI solutions
• Strong knowledge of Amazon Bedrock and AWS AI services
• Experience with foundation models, prompt engineering, and LLM-based applications
• Experience building Retrieval-Augmented Generation (RAG) solutions
• Knowledge of embeddings and vector database technologies
• Strong understanding of scalable cloud architectures and application deployment
• Excellent communication and stakeholder management skills
• Ability to engage with both technical teams and executive leadership

Preferred Qualifications

• AWS Certified Solutions Architect (Associate or Professional)
• Experience advising enterprise customers on AI transformation initiatives
• Knowledge of AI governance, risk management, and responsible AI frameworks
• Experience leading AI strategy and architecture discussions with executive stakeholders
• Background in machine learning, cloud-native application development, or data platforms