Lead, AI Application Engineer
hace 1 día
About Us
Bain & Company is a global consulting firm that helps organizations make data-driven decisions to drive business growth and success. We are proud to be consistently recognized as one of the world's best places to work, a champion of diversity and a model of social responsibility.
Our Culture
We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.
Our Team
As a member of Bain's Advanced Analytics Group, you'll join a talented team of diverse and inclusive analytic and engineering professionals who are dedicated to solving complex challenges for our clients. We work closely with our generalist consultants and clients to develop data-driven strategies and innovative solutions.
Job Summary
We are seeking a highly experienced Senior Software Engineering Lead to join our team. As a Lead, AI Application Engineer, you will leverage your experience to implement and refine technical solutions for a wide range of industries. You will engage in the entire engineering life cycle, focusing on designing, developing, optimizing, and deploying sophisticated software engineering solutions and infrastructure at a production scale suitable for the world's largest companies.
Key Responsibilities
- Collaborate closely with and influence general consulting teams to identify software solutions to client business problems, to prioritize and execute those solutions
- Serve as a technical lead in delivering end-to-end solutions for client cases (from solution architecture to hands-on development work)
- Participate in the software development life cycle including designing distributed systems, reviewing documentation, and conducting code reviews
- Participate in expert client advisory services that require expertise in software engineering with distributed systems, AI and application architecture
- Collaborate on the development of reusable common frameworks, models, and components to efficiently address common software engineering challenges across various industries and business functions
- Champion best demonstrated practices in software engineering, and share learnings with team members in AAG about theoretical and technical developments in software engineering
- Lead industry-leading innovations that translate into great impact for our clients in case work
- Influence, educate and directly support the software engineering capabilities of our clients
- Stay current with emerging trends and technologies in cloud computing, data analysis, and software engineering, and proactively identify opportunities to enhance the capabilities of the software platform
Requirements
- Master's degree in Computer Science, Engineering, or a related technical field
- Relevant professional hands-on experience in web development, programming languages, version control, software design pattern, infrastructure and deployment, integration and unit testing implementation
- 5 years minimum experience
- 3+ years at Senior or Staff level, or equivalent
- Working knowledge (4+ years) of Python
- Experience with server-side frameworks and technologies such as FastAPI, Flask
- Experience with Cloud platforms and services (AWS, Azure, GCP, etc.)
- Experience with implementation of large-scale structured or unstructured databases, orchestration and container technologies such as Docker, Kubernetes, Jenkins or Terraform
- Strong computer science fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
- Experience with data architecture, database schema design, database scalability and SQL
- Knowledge of client-side technologies such as React, Angular, HTML and CSS
- Knowledge 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
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