Senior Full-Stack AI Engineer (Client Facing Role)

at  BAIN COMPANY

As a Lead, Software Engineering, you will leverage your experience to implement and refine technical solutions for a wide range of industries. Working with a diverse team, you will engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated data engineering solutions and infrastructure at a production scale suitable for the world’s largest companies.

• Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions.
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs.
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability.
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation.
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience.
• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code.
• Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform.
• Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team.
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors.
• Influence, educate and directly support the analytics application engineering capabilities of our clients
• Travel is required (30%

As a Lead, Software Engineering, you will leverage your experience to implement and refine technical solutions for a wide range of industries. Working with a diverse team, you will engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated data engineering solutions and infrastructure at a production scale suitable for the world’s largest companies.

• Design, develop, and maintain cloud-based AI applications, leveraging a full-stack technology stack to deliver high-quality, scalable, and secure solutions.
• Collaborate with cross-functional teams, including product managers, data scientists, and other engineers, to define and implement analytics features and functionality that meet business requirements and user needs.
• Utilize Kubernetes and containerization technologies to deploy, manage, and scale analytics applications in cloud environments, ensuring optimal performance and availability.
• Develop and maintain APIs and microservices to expose analytics functionality to internal and external consumers, adhering to best practices for API design and documentation.
• Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations and organizational policies.
• Continuously monitor and troubleshoot application performance, identifying and resolving issues that impact system reliability, latency, and user experience.
• Participate in code reviews and contribute to the establishment and enforcement of coding standards and best practices to ensure high-quality, maintainable code.
• Stay current with emerging trends and technologies in cloud computing, data analytics, and software engineering, and proactively identify opportunities to enhance the capabilities of the analytics platform.
• Collaborate with DevOps and infrastructure teams to automate deployment and release processes, implement CI/CD pipelines, and optimize the development workflow for the analytics engineering team.
• Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop analytics solutions for Bain clients across a variety of sectors.
• Influence, educate and directly support the analytics application engineering capabilities of our clients
• Travel is required (30%)