Role:GEN AI Architect with 12+yrs exp ( W2 only)

Role: GEN AI Architect with 12+yrs exp ( W2 only)

Location: Sunnyvale, CA (Pref CA local candidates)

We are looking for Generative AI Architect to lead the AI Center of Excellence (CoE) for a strategic retail/manufacturing client. The ideal candidate will bring deep expertise in Generative AI technologies (e.g., LLMs, diffusion models), with hands-on experience in platforms like OpenAI, Azure OpenAI, Hugging Face, and LangChain. This role blends technical leadership, solution architecture, and stakeholder engagement to drive enterprise-wide AI transformation.

Key Responsibilities

• Lead the design and implementation of scalable, secure, and high-performing Gen AI solutions across business functions such as supply chain, finance, operations, and customer service.
• Collaborate with business and IT stakeholders to identify AI opportunities, assess feasibility, and define solution architecture.
• Drive platform readiness, model selection, prompt engineering, and fine-tuning strategies for complex use cases.
• Oversee the full Gen AI solution lifecycle: use case discovery, design, development, testing, deployment, and post-production support.
• Establish and enforce CoE governance, ethical AI practices, reusable components, and documentation standards.
• Mentor and guide a team of AI engineers, data scientists, and domain SMEs, fostering a culture of innovation and continuous learning.
• Integrate Gen AI solutions with enterprise systems using APIs, webhooks, and structured/unstructured data formats (JSON, XML, CSV).
• Monitor AI model performance, ensure alignment with business KPIs, and recommend enhancements.
• Explore and pilot Agentic AI capabilities to enable autonomous decision-making and adaptive workflows.

Required Qualifications

• Bachelor s degree or foreign equivalent from an accredited institution. Equivalent experience may be considered in lieu of formal education.
• At least 10+ years of experience in AI/ML, with a minimum of 5+ years in Generative AI technologies.
• Proven experience leading AI initiatives in a CoE or enterprise environment.
• Strong understanding of retail/manufacturing processes and AI-driven transformation use cases.
• Hands-on experience with LLMs (e.g., GPT, Claude, LLaMA), prompt engineering, and fine-tuning.
• Proficiency in Python and frameworks such as LangChain, Hugging Face Transformers, and OpenAI APIs.

Preferred Qualifications

• Experience with hybrid AI + RPA automation environments.
• Familiarity with MLOps, model monitoring, and responsible AI practices.
• Experience integrating Gen AI with enterprise platforms (e.g., Salesforce, SAP, ServiceNow).
• Strong understanding of data privacy, security, and compliance in AI applications.
• Excellent communication and presentation skills for client interactions and proposal development.
• Experience with cloud platforms (Azure, AWS, Google Cloud Platform) and deploying AI solutions at scale.