Gen AI Engineer 100% Remote

Apetan Consulting

Part-time - Senior

Remote

Administrative and Support Services

About the position

The Gen AI Engineer role is a remote position focused on driving the vision, strategy, and architecture of Generative AI within the organization. The engineer will provide technical leadership, oversee the integration process, and ensure the effective delivery of AI solutions. This position requires collaboration with various stakeholders to optimize and troubleshoot production systems while promoting best practices in Generative AI.

Responsibilities

• Align department priorities with the organization's vision and goals.
• Drive the Generative AI vision, strategy, and architecture.
• Provide technical leadership and guidance to the Generative AI team.
• Architect and deliver a container-based approach for scalable app hosting.
• Lead the GenAI integration process from ideation to delivery and operationalization.
• Oversee the design, implementation, and maintenance of CI/CD pipelines for GenAI solutions.
• Define and deliver quality API access to multiple GenAI services.
• Collaborate with stakeholders to streamline solution change management.
• Monitor, optimize, and troubleshoot production systems for high performance.
• Identify opportunities to optimize tasks using AI-driven solutions.
• Collaborate with data scientists, engineers, and designers to develop AI-powered tools and insights.
• Promote best practices in Generative AI through knowledge sharing and training programs.
• Communicate GenAI architecture strategies and initiatives to business stakeholders and leadership.
• Promote the value of Generative AI and DevOps across the organization.

Requirements

• 8+ years of experience in a relevant field.
• Proven experience as an Enterprise Architect, Solution Architect, or similar role with a focus on AI/ML and generative AI.
• Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning.
• Hands-on experience with machine learning methodologies and advanced analytics tools (R, Python).
• Proficiency in ML and Deep Learning frameworks (TensorFlow, PyTorch, Keras).
• Expertise with LLMs (Microsoft Azure Open AI, Chat GPT 4.0) and API access for GenAI.
• Experience in CI/CD pipeline design and management in the Generative AI space.
• Understanding of AI agents for decision-making and deployment of complex applications.
• Proven experience with Python development and troubleshooting.
• Strong knowledge of containerization and orchestration tools.
• Experience with cloud platforms (AWS, Azure) and infrastructure as code.