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Senior AI Application Engineer
2 months ago
Bain & Company Inc is seeking a highly skilled Senior AI Application Engineer to join our Advanced Analytics Group. As a key member of our team, you will collaborate with general consulting teams to identify software solutions to client business problems and execute those solutions.
Key Responsibilities- Collaborate closely with general consulting teams to identify software solutions to client business problems and execute those solutions.
- Provide technical guidance to external clients and internal stakeholders in Bain.
- Play a key role in delivering technical solutions for client cases (from solution architecture to hands-on development work).
- Participate in the full software development life cycle including designing, writing documentation and unit/integration tests, and conducting code reviews for engineering solutions.
- Participate in expert client advisory services that require knowledge in software engineering with distributed systems, AI, and application architecture.
- Develop and refine reusable common frameworks, models, and components to solve common software engineering challenges across industries and business functions.
- Implement and promote best practices in software engineering, sharing insights with team members about theoretical and technical advancements.
- Contribute to industry-leading innovations that translate into great impact for our clients in casework.
- Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering.
- Bachelor's degree in Computer Science or a related technical field.
- Master's degree in Computer Science, Engineering, or a related technical field is a plus.
- Relevant academic or industry experience in web development, programming languages, version control, software design patterns, infrastructure and deployment, integration and unit testing implementation.
- 4 years minimum experience.
- Working knowledge (2-3 years) of Python.
- Experience with server-side frameworks and technologies such as Fast API, Flask.
- Experience with Cloud platforms and services (AWS, Azure, GCP, etc.).
- Experience with administering and managing Kubernetes clusters (EKS, GCP, or AKS).
- Experience with Dev Ops, CI/CD, Github Actions.
- Strong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance.
- Knowledge of data architecture, database schema design, database scalability and SQL.
- Knowledge of client-side technologies such as React, Angular, HTML and CSS.
- Awareness of agile development methodologies and principles.
- Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines.
- Curiosity, proactivity and critical thinking.
- Ability to collaborate with people at all levels and with multi-office/region teams.
