As an Application Support Engineer, a typical day involves acting as a software detective by investigating and resolving issues across various components of essential business systems. This role requires a proactive approach to identifying problems, analyzing system behavior, and ensuring smooth operation of critical applications.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Coordinate with cross-functional teams to ensure seamless communication and issue resolution.
Act as software detectives, providing dynamic service to identify and solve issues within multiple components of critical business systems, ensuring smooth operation of essential applications.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Coordinate with cross-functional teams to ensure seamless communication and issue resolution.
Develops applications and systems that utilize AI tools, Cloud AI services, and generative AI models, building production‑ready pipelines on cloud or on‑premises.
Responsibilities
Design and build AI‑driven applications and systems
Manage application pipelines for production environments
Integrate generative AI models into solutions
Collaborate with cross‑functional teams to align AI capabilities with business needs
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the design and implementation of AI-driven solutions ensuring alignment with project goals.
Designs and builds AI/ML applications and systems leveraging Azure OpenAI Service and other cloud AI services, managing production-ready pipelines and integrating generative AI models.
Responsibilities
Lead the design and implementation of AI-driven solutions ensuring alignment with project goals
Collaborate with multiple teams and manage team decisions
Mentor junior team members
Coordinate cross-functional efforts to optimize AI model deployment and integration
Continuously evaluate emerging AI technologies to recommend improvements and innovations
Designs and builds advanced applications and systems that utilize AI tools and cloud-based AI services. Manages application pipelines for production environments, integrates generative AI models, and works with technologies like deep learning, neural networks, chatbots, and image processing.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform
Responsible for team decisions
Engage with multiple teams and contribute on key decisions
Provide solutions to problems for their immediate team and across multiple teams
Lead the design and implementation of AI-driven solutions ensuring alignment with project goals and quality standards
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and deployment of AI models ensuring alignment with project goals and timelines.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and deployment of AI models ensuring alignment with project goals and timelines.
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Applies GenAI models as part of the solution.
Responsibilities
Design and build advanced AI applications and systems
Integrate generative AI models into scalable solutions
Ensure production quality and efficient operation in cloud or on-prem environments
Collaborate with cross-functional teams to enhance system capabilities
Troubleshoot complex issues and improve performance and reliability
Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality.
Responsibilities
Expected to be an SME, collaborate and manage the team to perform.
Responsible for team decisions.
Engage with multiple teams and contribute on key decisions.
Provide solutions to problems for their immediate team and across multiple teams.
Lead the development and deployment of AI models ensuring alignment with project goals and timelines.