Global It Software Engineer Senior Manager

BCG BCG · Consulting · Boston, MA +2 · Technology and Engineering

Seeking a Global IT Software Engineer Senior Manager to lead the implementation, deployment, and optimization of Generative AI (GenAI) tools and IT solutions. This role involves collaborating with cross-functional teams to deliver scalable software solutions, administering AI-powered SaaS tools, identifying enhancement opportunities, supporting POC projects, and staying updated on emerging AI technologies like LLMs and APIs.

What you'd actually do

  1. Leading the implementation and optimization of GenAI applications and IT tools to enhance productivity and operational efficiency.
  2. Collaborate with Product Owners, Tribe Leaders, and other stakeholders to align technology solutions with business requirements.
  3. Administer and configure AI-powered SaaS tools, ensuring secure deployment and smooth integration across the organization.
  4. Identify opportunities for enhancements to enterprise AI tools, focusing on improving efficiency and user satisfaction.
  5. Support proof-of-concept (POC) projects to explore and validate innovative technologies and solutions.

Skills

Required

  • Driving the adoption and optimization of SaaS tools and AI-driven applications
  • Solving technical challenges and developing scalable, innovative solutions
  • Applying Change Management disciplines
  • Proactively identifying and implementing automation capabilities
  • Collaborating effectively with diverse stakeholders
  • Adapting to fast-paced environments
  • Leveraging expertise in GenAI, SaaS integrations, cloud technologies, and security
  • 10+ years of professional experience in software development or IT operations
  • Proven experience in implementing AI-driven applications and SaaS solutions
  • Strong technical proficiency in both frontend and backend development (e.g., React, Python, Java, Typescript)
  • Experience with cloud technologies and infrastructure as code (e.g., AWS, Kubernetes, Terraform)
  • Familiarity with software design patterns, architecture trade-offs, and integration best practices
  • Knowledge of DevOps practices, CI/CD pipelines, and automated testing frameworks

Nice to have

  • Previous experience building a user-facing GenAI/LLM software application
  • Previous experience with vectors and embeddings (pgvector, chromadb)
  • Knowledge of LLM RAG/Agent core concepts and fundamentals
  • Experience with Helm, Neo4J, GraphQL
  • CI/CD tools like Jenkins
  • Other AWS Managed Services (RDS, Batch, Lambda, Fargate, Step Functions, SQS/SNS, etc.)
  • FastAPI and NextJS experience
  • Websockets, Server-Side Events, Pub/Sub (RabbitMQ, Kafka, etc.)

What the JD emphasized

  • GenAI applications
  • AI-powered SaaS tools
  • enterprise AI tools
  • LLMs

Other signals

  • leading the implementation and optimization of GenAI applications
  • Administer and configure AI-powered SaaS tools
  • identify opportunities for enhancements to enterprise AI tools
  • Support proof-of-concept (POC) projects
  • Stay updated on emerging technologies such as LLMs, APIs, and cloud-based solutions