Generative AI Engineer
Listed on 2026-06-26
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Computing: Infrastructure & Operations
Location: On-site:
Must be in the Miami Office Monday
- Thursday
Type: Contract-to-hire
Role Overview
We are seeking an experienced Gen AI Platform Engineer for a key client of ours. This pivotal role requires a strong technical background in AI tooling, data platform architecture, cloud computing, and big data technologies. A successful candidate will be responsible for all tooling and integration with GenAI LLM, maintaining our Azure platform with OpenAI, and leveraging Databricks Mosaic AI. This role will be instrumental in driving innovation, ensuring seamless integration, and optimizing our AI and data platforms to meet the evolving needs of the business.
This role with collaborate with cross-functional teams to design, develop and implement cutting-edge AI Platforms. You will play a pivotal role in monitoring system performance, troubleshooting issues, and ensuring the high availability and reliability of our AI services. Your expertise will help us stay ahead of the curve in the rapidly evolving AI landscape, bringing new capabilities and innovations to our platform.
Key Responsibilities:
- Design, develop, and maintain tooling and integration for GenAI LLM and other AI models.
- Manage and optimize our Azure platform, ensuring seamless integration with OpenAI and Databricks Mosaic AI.
- Collaborate with cross-functional teams to identify and implement innovative AI solutions to enhance our platform capabilities.
- Monitor system performance, troubleshoot issues, and ensure high availability and reliability of AI services.
- Stay up to date with the latest advancements in AI and machine learning technologies to drive continuous improvement and innovation.
- Develop and implement best practices for AI model deployment, scaling, and monitoring.
- Design and execute integration strategies for incorporating large language models (LLMs) and CoPilot technologies with existing business platforms.
- Assess and recommend suitable LLM and CoPilot technologies that align with business needs and technical requirements.
- Conduct feasibility studies and proof-of-concepts to validate the integration of new tools and technologies.
- Keep abreast of the latest advancements in LLM, CoPilot, and related technologies to identify opportunities for further innovation and improvement.
- Understand and leverage MS CoPilot and MS CoPilot Studio for enhanced productivity and collaboration within the development team.
- Integrate MS CoPilot tools into existing workflows and ensure seamless integration with other systems and applications used by the team.
- Continuously monitor the performance of integrated systems to identify and address any issues or inefficiencies.
- Implement optimizations and enhancements to improve the overall functionality and performance of business solutions.
- Work closely with product managers, data scientists, and other stakeholders to gather requirements and ensure successful integration of LLM and CoPilot technologies.
Qualifications:
Experience:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience).
- Relevant certifications in product management, AI, or data analytics are a plus.
- Minimum of 5 years of experience in product management, with at least 2 years focused on AI/ML-driven products.
- Experience with demand management, intake processes, and product prioritization in a technology-driven environment.
- Strong familiarity with AI tools and platforms such as Azure Databricks, Azure OpenAI, Microsoft Copilot Studio, and other Microsoft AI solutions.
Skills:
- Experience with large language models (LLMs) and familiarity with tools like OpenAI GPT, Google BERT, or similar.
- Hands-on experience with Databricks for data engineering, data science, or machine learning workflows.
- Proficiency in using Databricks for building and managing data pipelines, ETL processes, and real-time data processing.
- Experience with machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch).
- Hands-on experience with Microsoft CoPilot and CoPilot Studio.
- Proficiency in working with APIs, microservices architecture, and web services (REST/SOAP).
- Familiarity with cloud platforms such as AWS, Azure, or Google…
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