AI Architect

Job Description: AI Architect Location: Atlanta, GA (EST Hours) Hybrid

We are looking for a highly skilled and customer-focused AI Architect to join our team in Atlanta, GA. This is a high-level, customer-facing role that requires strong technical expertise in artificial intelligence (AI) and machine learning (ML), as well as exceptional communication and interpersonal skills. The ideal candidate will work closely with clients to design and implement AI-driven solutions that address complex business challenges.

Key Responsibilities:

• Act as the primary technical point of contact for clients, understanding their business needs and translating them into AI/ML solutions.

• Design and architect scalable, innovative AI/ML systems and frameworks to solve business problems.

• Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver end-to-end AI solutions.

• Provide technical leadership and guidance on AI/ML technologies, tools, and best practices.

• Develop and present high-level architectural designs, proof-of-concepts (POCs), and proposals to clients.

• Stay updated with the latest advancements in AI/ML technologies and integrate them into client solutions where applicable.

• Ensure the security, scalability, and reliability of AI/ML systems in production environments.

• Mentor and guide junior team members on AI/ML concepts and implementation strategies.

Required Skills:

• Proven experience as an AI Architect, Machine Learning Architect, or similar role.

• Strong expertise in AI/ML technologies, including deep learning, natural language processing (NLP), computer vision, and predictive analytics.

• Proficiency in programming languages such as Python, R, or Java, and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud for deploying AI/ML solutions.

• Strong understanding of data engineering, data pipelines, and big data technologies (e.g., Hadoop, Spark).

• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Strong problem-solving skills and the ability to think strategically about business and technical challenges.

• Experience working in a customer-facing role, with a focus on building trust and delivering value.

Preferred Skills:

• Knowledge of DevOps and MLOps practices for AI/ML model deployment and monitoring.

• Familiarity with AI ethics and responsible AI principles.

• Experience with generative AI technologies (e.g., GPT, DALL-E) is a plus.

• Certifications in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning Specialty, Azure AI Engineer).