Gen AI Architect/Consultant with 15+ years (day 1 onsite)

Understand the client's business, workflows,

Identify opportunities where generative AI can bring value (e.g., customer support, content creation, automation).

Create an AI adoption roadmap or strategy.

familiarity with AI platforms and tools such as Amazon Bedrock, Microsoft Copilot Studio, OpenAI, and other leading AI frameworks

Choose the right models (GPT, LLaMA, Claude, etc.) and platforms (OpenAI, Azure, Hugging Face, etc.).

Decide whether to use pre-trained models, fine-tuned models, or build custom solutions.

Design workflows and user experiences around AI tool

Work with developers or act as a bridge between business and technical teams.

Qualifications:

Bachelor s degree with 12-15 years of experience

Strong hands on experiance with all latest AI and ML related technologies like RAG, Vector DB, Python, PyTorch, TensorFlow, ML OPS , Google Vertex AI.

Strong understanding of generative AI technologies, including LLM capabilities, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) architectures

Familiarity with AI platforms and tools such as Amazon Bedrock, Microsoft Copilot Studio, OpenAI, and other leading AI frameworks

Knowledge of cloud computing principles, AI deployment patterns, and best practices for scalable, secure, and compliant AI solutions

Ability to evaluate and recommend appropriate AI technologies, frameworks, and architectures based on business requirements and constraints

Understanding of responsible AI practices, ethical considerations, and regulatory compliance in financial services

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Understand the client's business, workflows,

Identify opportunities where generative AI can bring value (e.g., customer support, content creation, automation).

Create an AI adoption roadmap or strategy.

familiarity with AI platforms and tools such as Amazon Bedrock, Microsoft Copilot Studio, OpenAI, and other leading AI frameworks

Choose the right models (GPT, LLaMA, Claude, etc.) and platforms (OpenAI, Azure, Hugging Face, etc.).

Decide whether to use pre-trained models, fine-tuned models, or build custom solutions.

Design workflows and user experiences around AI tool

Work with developers or act as a bridge between business and technical teams.

Qualifications:

Bachelor s degree with 12-15 years of experience

Strong hands on experiance with all latest AI and ML related technologies like RAG, Vector DB, Python, PyTorch, TensorFlow, ML OPS , Google Vertex AI.

Strong understanding of generative AI technologies, including LLM capabilities, prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) architectures

Familiarity with AI platforms and tools such as Amazon Bedrock, Microsoft Copilot Studio, OpenAI, and other leading AI frameworks

Knowledge of cloud computing principles, AI deployment patterns, and best practices for scalable, secure, and compliant AI solutions

Ability to evaluate and recommend appropriate AI technologies, frameworks, and architectures based on business requirements and constraints

Understanding of responsible AI practices, ethical considerations, and regulatory compliance in financial services

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.