What are the responsibilities and job description for the Senior Gen AI Engineer position at Global IT Solutions, Inc - Texas?
Gen AI–DS Architect
Full Time
Location- (Seattle, Dallas, Atlanta, and Chicago) Onsite
Job Description
We are seeking a creative and innovative Senior GenAI Engineer Architect /DataScientist to join our team. This role involves developing cutting-edge custom GEN AI solutions and predictive AI models, deploying them in production
environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI- driven insights
Key Responsibilities
Gen AI & Machine Learning Models Development
Full Time
Location- (Seattle, Dallas, Atlanta, and Chicago) Onsite
Job Description
We are seeking a creative and innovative Senior GenAI Engineer Architect /DataScientist to join our team. This role involves developing cutting-edge custom GEN AI solutions and predictive AI models, deploying them in production
environments, and driving the integration of AI technologies across our business operations. As a key member of our AI team, you will collaborate with diverse teams to design solutions that deliver tangible business value through AI- driven insights
Key Responsibilities
Gen AI & Machine Learning Models Development
- Design, develop, and implement both generative and predictive AI models (including NLP, computer vision, etc.).
- Lead the development of innovative solutions such as intelligentautonomous agents for complex tasks and multimodal interactions.
- Integrate agentic workflows that utilize AI agents to automate tasks and improve operational efficiency.
- Work closely with cross-functional teams, including data scientists,software engineers, and product managers, to align AI solutions with business objectives. Application Architecture Design, Development, & Integration
- Demonstrates proficiency in API architecture and design to develop custom generative AI applications built with external interfacing, traffic control, runtime execution of business logic, data access, authentication, and deployment components.
- Work with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions.
- Optimize AI models and algorithms for performance, scalability, and efficiency.
- Ensure the security and compliance of AI solutions, adhering to best practices and regulations.
- Implement monitoring and logging mechanisms to track performance, reliability, and usage of AI solutions Model Deployment & Maintenance
- Work closely with DevOps and IT teams to deploy AI models into production environments, ensuring scalability, performance, and optimization.
- Monitor and troubleshoot deployed models and pipelines for optimal performance.
- Design and maintain data pipelines for efficient data collection, processing,and storage (e.g., data lakes, data warehouses).
- Create comprehensive documentation for deployment processes and provide training to relevant teams to ensure proper model management. AI Research & Integration
- Conduct research to stay at the forefront of emerging AI techniques, tools,and trends.
- Integrate new AI tools and methodologies into existing business processesand applications.