Generative AI Engineer

Job description

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., TensorFlow, 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 Cloud, and their integration services.

Knowledge of database systems, both SQL and NoSQL (e.g., MySQL, MongoDB).

Knowledge of natural language processing (NLP) and large language models (LLMs).

Previous experience in a similar role within a technology-driven organization.

Certifications in Azure, AI, or related areas.

Why This Opportunity?

Impact: Play a pivotal role in a company that thrives on innovation, collaboration, and delivering exceptional solutions. Be amongst the first to join this high-performing division.

Professional Growth: This is a HIGH STAKES role for a global client on a fast-growing division, ability to create a name for yourself!

Culture: This client brings together employees spanning the global and is on the forefront of advanced digital engineering, technology solutions, and data-driven digital experiences, they create exceptional and efficient experiences for travelers

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Contract

Job function

Job function

Consulting

Industries

Hospitality

Referrals increase your chances of interviewing at Focus GTS by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Get notified when a new job is posted.

Sign in to set job alerts for “Generative AI Engineer” roles.

Senior Machine Learning Engineer (Recommendations)

Delivery Consultant - Machine Learning Engineer, AWS Professional Services, AWS Professional Services

Miami, FL $118,200.00-$204,300.00 2 minutes ago

Miami, FL $88,600.00-$181,900.00 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Worksite address

miami, FL, 33222, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.