Sr. AI Architect

Hi,

Hope you are doing well. This is Dheeraj from Stellent IT .

We are hiring for the given job requirement. If you are interested in this role then please share below details:

1. Updated Resume
2. Current Location
3. Work Authorization
4. LinkedIn Id

Title: Sr. AI Architect

Location: NYC, NY (Hybrid 3 days a week from office_ Need local profiles only)

Duration: 12+ months

Domain: Banking

Interview Mode: Video + Client In-Person interview

Overview:

• The ideal candidate will have a 12+ years of experience, strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG).
• The Gen AI Specialist will leverage advanced Generative AI models and Azure OpenAI services to develop innovative solutions for investment banking processes.

Key Responsibilities:

• Design, develop, and implement Generative AI solutions tailored to investment banking needs.
• Utilize Microsoft Azure OpenAI services to build and optimize AI models.
• Apply RAG techniques to improve information retrieval and decision-making processes.
• Collaborate with cross-functional teams including AI, data science, and investment banking divisions.
• Develop prototypes and proof-of-concept models for internal stakeholders.
• Ensure compliance with data security, privacy policies, and industry regulations.
• Stay updated with the latest trends and advancements in AI, especially related to RAG and Azure OpenAI.

Qualifications:

• Proven experience in investment banking or financial services.
• Extensive hands-on experience with Microsoft Azure OpenAI services.
• Strong understanding and practical experience with Retrieval-Augmented Generation (RAG).
• Proficiency in programming languages such as Python.
• Knowledge of AI model deployment and API integration.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills and ability to convey technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Certifications in Azure or AI-related fields.
• Experience with large language models (LLMs) and their application in finance.
• Prior experience in developing secure and scalable AI solutions.