Position:              Generative AI Architect

Location:             Washington, DC(4 days onsite in a week)

Job Description:

We are seeking an experienced Generative AI Architect to lead the design, architecture, and implementation of cutting-edge Generative AI technologies across diverse industry verticals. In this role, you will collaborate with Fortune 500 clients to deliver transformative AI solutions, such as intelligent document processing, chatbot assistants, and contact center automation. This position requires a blend of deep technical expertise, strategic leadership, and strong consulting skills to drive innovation and value for our clients.

Key Responsibilities:

• Design and architect scalable Generative AI solutions tailored to client needs, leveraging state-of-the-art AI/ML and NLP technologies.
• Lead end-to-end solution implementation, including requirements gathering, model development, deployment, and optimization.
• Collaborate with cross-functional teams to deliver AI-driven solutions such as:
• Intelligent document processing for data extraction and analysis.
• AI-powered chatbot assistants for enhanced customer engagement.
• Contact center automation to improve operational efficiency.
• Partner with Fortune 500 clients to understand business challenges and translate them into innovative AI solutions.
• Stay updated on emerging trends in Generative AI and recommend best practices to clients and internal teams.
• Ensure solutions are robust, secure, and compliant with regulatory standards.
• Provide technical leadership and mentorship to junior team members.

Required Skills and Qualifications:

• Proven experience in designing and implementing Generative AI solutions at scale.
• Deep expertise in Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP).
• Hands-on experience with Generative AI models such as GPT, BERT, DALL-E, or similar frameworks.
• Strong knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and deployment of AI/ML workloads in cloud environments.
• Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar AI/ML frameworks.
• Excellent problem-solving skills and the ability to translate business requirements into technical solutions.
• Strong leadership and consulting skills, with the ability to work effectively with senior stakeholders.
• Experience working with diverse industry verticals is a plus.

Preferred Qualifications:

• Master s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
• Certifications in AI/ML or cloud technologies (e.g., AWS Certified Machine Learning, Google Professional ML Engineer).
• Experience in delivering AI solutions for Fortune 500 clients.