Hybrid Senior AI/ML Platform Lead (RAG/LLMOps)

Bain & Company; Dallas (TX); Hybrid; USD 156,000 - 170,000; Full time

Benefits offered by this job

Hybrid work model

Best-in-class benefits

Paid time off

Job summary

Bain & Company in the United States is seeking a Senior AI/ML Engineering Manager to lead Data and ML Engineering teams, owning roadmap, delivery, and technical direction across embedding pipelines, model serving, and RAG systems.

The role blends hands-on coding with strategic leadership, mentoring engineers, partnering with Data Science, Product, and Platform leadership, and ensuring production quality from the first commit.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Machine Learning, Data Science, Statistics, or a related field.
• 8+ years of experience building and operating production data and ML systems, including model deployment, serving, and post-deployment monitoring.
• 3+ years of direct people-management experience leading data, ML, or platform engineers.
• Demonstrated experience owning delivery for a team: roadmap planning, capacity allocation, and accountability for commitments and operational health.
• Demonstrated experience owning the model and prompt lifecycle end-to-end (packaging, registry, promotion, rollout, monitoring).
• Demonstrated experience building and operating production RAG or retrieval systems end-to-end.

Responsibilities

• Lead a team of Data and ML Engineers: hiring, onboarding, goal setting, coaching, performance management, and career development.
• Own delivery for the team’s roadmap: scope and sequence work, set realistic commitments, track progress, and remove blockers.
• Set and enforce engineering standards across data and ML systems — testing, typing, observability, runbooks, and SLAs.
• Own the operational health of the team’s systems: on‑call and incident response ownership, post‑incident reviews, and cost improvements.
• Allocate capacity across pipeline, serving, retrieval, and evaluation workstreams; balance feature delivery against platform debt.
• Partner with Data Science, the Agent / AI squad, Product, and Platform leadership to translate platform strategy into staffed, sequenced engineering work.
• Grow senior engineers into technical leaders: delegate architectural ownership, coach through design review.
• Communicate roadmap, trade‑offs, risks, and delivery status to platform leadership and non‑technical stakeholders.

Skills

People management

Delivery ownership

Model lifecycle

Python production

Cloud platforms

Education

Bachelor's degree in CS/Engineering/ML/DS/Statistics or related field

Tools

Databricks

AWS

Terraform

Docker

Kubernetes

Job description

Bain & Company in the United States is seeking a Senior AI/ML Engineering Manager to lead Data and ML Engineering teams, owning roadmap, delivery, and technical direction across embedding pipelines, model serving, and RAG systems.

The role blends hands-on coding with strategic leadership, mentoring engineers, partnering with Data Science, Product, and Platform leadership, and ensuring production quality from the first commit.