Global AI/ML Engineer Senior Manager
The Boston Consulting Group
Overview
In this role you will lead the development and deployment of GenAI tools and IT solutions to advance BCG’s digital capabilities. You will collaborate with cross-functional teams to deliver scalable software that aligns with business goals and enhances productivity. You’ll optimize AI-powered SaaS tools, explore proof-of-concepts, and stay ahead of emerging technologies to drive impact. This position offers hands-on problem solving, strategic tech leadership, and opportunities to shape enterprise AI adoption.
Pay / Benefits- base salary plus discretionary bonus
- retirement contribution
- health insurance for employees and family
- dental and vision coverage
- gym membership reimbursement
- paid parental leave and family benefits
- Lead implementation and optimization of GenAI applications and IT tools to boost productivity and efficiency
- Collaborate with Product Owners and Tribe Leaders to align tech with business needs
- Administer AI-powered SaaS tools, ensure secure deployment and integration
- Identify enhancements to enterprise AI tools to improve efficiency and user satisfaction
- Support proof-of-concept projects to validate new technologies
- Continuously assess software architecture for scalability, reliability, and alignment with trends
- Document designs, processes, and best practices for knowledge sharing
- Stay current on LLMs, APIs, and cloud solutions to drive impactful outcomes
- Bachelor in Computer Science or related field
- 6-8 years of software development or IT operations experience
- Proven experience in implementing AI-driven and multi-tenant SaaS solutions
- Strong frontend and backend skills (e.g., React, Python, Java, Typescript)
- Experience with systems design, architectural trade-offs, and integration best practices
- Experience with automated testing frameworks (e.g., Zypher, Pytest)
- Experience with cloud technologies and infrastructure as code (AWS/Azure/GCP, Kubernetes, Helm, Terraform)
- Knowledge of DevOps culture and practices
- Collaborative and cross-functional collaboration
- Strong problem-solving and proactive automation
- Change management discipline for technology rollouts
- High energy and autonomy in fast-paced environments
- Effective communication with technical and business stakeholders
- GenAI, SaaS integrations, cloud technologies, security
Reference: WJ-747_31163160