What are the responsibilities and job description for the GenAI Architect position at Stellar Consulting Solutions, LLC?
We are looking for a highly skilled GenAI Architect to design, build, and oversee enterprise-grade Generative AI solutions. This role requires deep expertise in LLMs, cloud platforms, and MLOps, combined with strong domain knowledge in retail marketing, customer care, order management, and data analytics. The ideal candidate will bridge advanced AI technologies with retail business needs, ensuring scalable, secure, and high-performing GenAI applications.
Key Responsibilities
- Architect and oversee GenAI platform solutions, including model selection, infrastructure design, and enterprise integration.
- Ensure scalability, security, and performance of GenAI applications across retail operations.
- Lead model fine-tuning, deployment, and optimization for business-specific use cases.
- Apply prompt engineering techniques and manage vector databases for efficient retrieval-augmented generation (RAG).
- Implement MLOps pipelines and ensure seamless API integration with enterprise systems.
- Collaborate with retail stakeholders to design AI-driven solutions for marketing, customer care, order management, and analytics.
- Leverage Google Vertex AI and Collibra AI for data governance, ML workflows, and compliance.
- Partner with design teams using Figma Make to create intuitive user experiences.
- Drive innovation with LLM GenAI tools (ChatGPT, Gemini, Copilot) for conversational AI and automation.
- Utilize image/video generation platforms (Midjourney, Adobe Firefly) to enhance retail marketing and customer engagement.
- Stay ahead of emerging GenAI trends and recommend adoption strategies for retail transformation.
Required Skills & Experience
- Deep knowledge of Large Language Models (LLMs) such as Gemini, GPT, Claude.
- Strong expertise in cloud platforms (preferably GCP).
- Hands-on experience with model fine-tuning, deployment, and optimization.
- Proficiency in prompt engineering and vector database management.
- Solid background in MLOps practices and API integration.
- Strong knowledge of the retail domain, especially marketing, customer care, order management, and data analytics.
- Experience with Google Vertex AI and Collibra AI.
- Familiarity with Figma Make for design collaboration.
- Practical exposure to LLM GenAI tools (ChatGPT, Gemini, Copilot).
- Creative use of image/video generation tools (Midjourney, Adobe Firefly).