Gen AI Lead/Architect

Job Title - GenAI Lead/Architect

Location - NYC, NY (local)

Full Time

Hybrid

Job Description: GenAI Lead/Architect

Position Overview:

We are seeking a highly skilled and visionary Generative AI Lead / Architect to spearhead the design, development, and deployment of cutting-edge AI solutions using foundation models (e.g., GPT, LLaMA, Claude). You will lead a team of AI engineers and researchers to build scalable and impactful GenAI-driven systems for enterprise applications across domains like customer support, knowledge management, document processing, and product development.
As an AI Architect, you will be responsible for designing, developing, and implementing AI solutions that drive business transformation and enhance customer experiences. You will collaborate with cross-functional teams to leverage machine learning, deep learning, and natural language processing technologies, with the aim of developing scalable AI systems that integrate seamlessly into existing platforms.

Key Responsibilities:

Design and architect AI solutions that align with business goals and industry trends.

Collaborate with data scientists, engineers, and stakeholders to define project

objectives and success metrics.

Evaluate and select appropriate AI tools and frameworks to support development.

Develop and optimize AI models, ensuring high accuracy and functionality.

Integrate AI solutions into product workflows, providing support and documentation for users.

Monitor and maintain AI systems, ensuring performance and scalability.

Stay current with AI advancements and emerging technologies, applying insights to enhance solutions.

Communicate complex AI concepts clearly to non-technical stakeholders.

Qualifications:

• Bachelor s degree in computer science, Engineering, or a related field; Master s
• degree preferred.
• Proven experience as an AI Architect or in a similar role, with a strong portfolio of AI solutions.
• Expertise in machine learning, deep learning, and natural language processing.
• Proficiency in programming languages such as Python, Java, or R.
• Strong understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
• Familiarity with cloud computing platforms (AWS, Azure, Google Cloud).
• Excellent problem-solving skills and ability to work collaboratively in a team
• environment.
• Social qualifications:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work effectively in a team-oriented environment.
• Proven track record of delivering high-quality software solutions.