
Solution Architect, Generative Artificial Intelligence (AI)
- Washington DC
- Permanent
- Full-time
Responsibilities
- Establishes a technical roadmap for the platform and/or capability strategy and lifecycle that considers value-based outcomes, costs to maintain, supportability, and performance.
- Ensures sound integration, data, security, and business architecture design throughout all stages within the platform and/or capability lifecycle.
- Provides rapid delivery and development of technical solutions that align with business and/or platform desired outcomes.
- Troubleshoots and resolves technical issues related to platform or capability systems, solutions, and services.
- Innovates and drives continuous improvements of implementation methodology and technical service offerings based on customer/employee experiences or other enterprise objectives/outcomes.
- Participates in a Community of Interest for engineers across all capability and platform teams to share information and strengthen understanding of business needs and technology-based business solutions.
- Develops and maintains deep technical knowledge and expertise related to domain area systems, solutions, services, and applications.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 10+ years of experience in cloud infrastructure management and architecture, with deep expertise in AWS services including Bedrock and S3.
- 2+ years of hands-on experience with Generative AI platforms and LLMs, including prompt engineering and building RAG pipelines.
- 2+ years of experience implementing AI governance and ethical AI practices, including bias detection, toxicity filtering, and privacy compliance using tools like AWS Bedrock Guardrails.
- 3+ years of experience in cybersecurity, including real-time incident response and infrastructure security best practices.
- Demonstrated success leading rapid prototyping and MVP development within cross-functional teams under tight deadlines.
- Proven ability to evaluate and integrate LLMs into enterprise applications such as multi-turn, context-aware chatbots.
- Strong understanding of data ingestion pipelines and integration with platforms like Adobe Experience Manager (AEM), Salesforce APIs, and AWS S3
- Regular and reliable job attendance
- Effective verbal and written communication skills
- Exhibit respect and understanding of others to maintain professional relationships
- Independent judgement in evaluation options to make sound decisions
- Home office environment with the ability to work effectively surrounded by moderate home environment noise