Lead, Software Engineering​ (AI)

Join Bain & Company's Application Engineering experts within the AI, Insights & Solutions team, a key part of our digital capabilities practice. In this multidisciplinary role, you will combine deep technical expertise with business acumen to help clients navigate their most transformative challenges. You will collaborate with integrated teams, including general consultants and clients, to develop data-driven strategies and innovative solutions. Our focus is on creating human-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. This collaborative and supportive environment promotes creativity and continuous learning, ensuring the delivery of exceptional results.

Responsibilities:

• Design, develop, and maintain scalable, secure, and high-quality cloud-based AI applications using a full-stack approach.
• Collaborate with product managers, data scientists, and fellow engineers to define and implement analytics features aligned with business requirements and user needs.
• Utilize Kubernetes and containerization for efficient deployment, management, and scaling of analytics applications in cloud environments.
• Develop and maintain robust APIs and microservices, adhering to best practices for exposing analytics functionality.
• Implement strong security measures to protect data and ensure compliance with privacy regulations.
• Monitor and troubleshoot application performance, addressing issues impacting reliability, latency, and user experience.
• Participate in code reviews, enforce coding standards, and promote high-quality, maintainable code.
• Stay abreast of emerging trends in cloud computing, data analytics, and software engineering, identifying opportunities to enhance platform capabilities.
• Partner with DevOps and infrastructure teams to automate deployments, implement CI/CD pipelines, and optimize workflows.
• Collaborate with and influence business consulting staff and leaders to assess opportunities and develop analytics solutions for Bain clients across various sectors.
• Influence, educate, and support clients in their analytics application engineering capabilities.

Requirements:

• Master’s degree in Computer Science, Engineering, or a related technical field.
• Minimum 6 years of experience, with at least 3 years in a Senior or Staff level role.
• Proficiency in server-side (back-end) technologies like Django, Flask, or Fast API.
• Experience with client-side (front-end) technologies such as React, Angular, Vue.js, HTML, and CSS.
• Experience with cloud platforms and services (AWS, Azure, GCP) and Terraform automation is a plus.
• Minimum 4 years of working experience with Python.
• Proficient use of Git for versioning and collaboration.
• Experience with DevOps and CI/CD tools like Github Actions.
• Demonstrated interest and experience with LLMs, Prompt engineering, and Langchain.
• Experience with workflow orchestration tools (e.g., dbt, Beam, Airflow, Luigy, Metaflow, Kubeflow).
• Experience implementing large-scale structured or unstructured databases and container technologies like Docker or Kubernetes.
• Strong interpersonal and communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Curiosity, proactivity, and critical thinking skills.
• Solid computer science fundamentals including data structures, algorithms, automated testing, OOP, performance complexity, and computer architecture implications.
• Strong knowledge in designing API interfaces.
• Knowledge of data architecture, database schema design, and database scalability.
• Familiarity with Agile development methodologies.
• Willingness to travel regionally as required by project needs.