GenAI Engineer

JOB SUMMARY

As a GenAI Engineer, you will be at the forefront of innovation, leveraging your skills to design and implement cutting-edge AI solutions. With a focus on creativity, collaboration, and technical excellence, this role offers a unique opportunity to work on transformative projects that drive business intelligence and decision-making across diverse industries, leading the development and deployment of advanced AI solutions in Google's Gemini Enterprise. Key Responsibilities

• Oversee the design, development, and integration of complex AI models.
• Work closely with data scientists, software engineers, and business stakeholders to deliver high impact AI solutions.
• Ensure seamless integration of AI capabilities into existing applications and systems.
• Lead small to medium-sized AI projects, ensuring timely delivery and quality.
• Contribute to the development of best practices and standards for AI development and deployment.
• Develop and implement AI strategies that align with organizational goals.
• Engage with senior management and stakeholders to identify AI opportunities and present project updates.
• Identify and mitigate risks associated with AI projects and deployments.
• Foster innovation by exploring and integrating new AI methodologies and technologies into existing workflows.
• Conduct performance evaluations of AI systems and provide recommendations for improvements.
• Manage budgets for AI projects, ensuring efficient allocation of resources.
• Ensure AI solutions comply with industry standards, regulations, and ethical guidelines. Required Qualifications
• 1+ years of experience architecting high-impact GenAI solutions for diverse clients.
• 1+ years experience with Gemini Enterprise (formerly Vertex AI) and Google ADK.
• 5+ year(s) of experience participating in projects that focused on one or more of the following areas: Predictive Analytics, Data Design, Generative

AI, AI/ML, ML

Ops.

• 3+ years of experience using Python.
• Ability to travel at least 25%.
• Bachelor's Degree required. Preferred Qualifications
• Experience with Nvidia NeMo Inference Manager (NIM) for deploying and managing AI models at scale.
• Demonstrates sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.
• Exhibits strong teamwork, consistently performing as a dependable team member with an excellent work ethic.
• Maintains a flexible "can-do" attitude and a commitment to success.
• Professional verbal and written communication.