Negotiable
Outside
Remote
USA
Summary: The AI Architect role focuses on designing and implementing Generative AI solutions, with an emphasis on integrating these systems into enterprise environments. The position requires the ability to communicate the benefits of GenAI to both technical and business stakeholders. A deep understanding of industry-specific applications, particularly in the retail sector, is essential for identifying and prioritizing use cases that align with organizational goals. The role is remote and spans a duration of 12 months.
Key Responsibilities:
- Design and implement Generative AI solutions.
- Articulate and showcase the benefits of GenAI to stakeholders.
- Integrate GenAI into enterprise systems, ensuring scalability, security, and performance.
- Identify, evaluate, and prioritize GenAI use cases in the retail industry.
- Guide teams through proof-of-concept development and translate opportunities into measurable outcomes.
Key Skills:
- Experience as a Generative AI Architect.
- Strong communication skills for technical and business audiences.
- Background in enterprise system integration.
- Knowledge of industry-specific GenAI applications in retail.
- Capability to guide teams in proof-of-concept development.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: AI Architect
Location: Atlanta, GA (Remote)
Duration: 12 Months
GenAI Architecture Expertise
- Demonstrated experience as a Generative AI Architect, with a proven track record of designing and implementing GenAI solutions.
- Ability to articulate and showcase the tangible benefits of GenAI to both technical and business stakeholders.
- Strong background in integrating GenAI into enterprise systems, ensuring scalability, security, and performance.
Comprehensive Knowledge of GenAI Use Cases
- Deep understanding of industry-specific GenAI applications in Retail industry (e.g., customer support automation, content generation, predictive analytics, knowledge management).
- Capability to identify, evaluate, and prioritize GenAI use cases that align with organizational goals.
- Experience in guiding teams through proof-of-concept development and translating GenAI opportunities into measurable business outcomes.