Senior AI/ML Engineer — Enterprise AI & MLOps

AgileGrid Solutions; United States; Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Hybrid work model

Job summary

Vanguard seeks a senior Machine Learning/AI Engineer to design, build, and scale enterprise AI/ML solutions that drive business innovation and operational efficiency. You will collaborate with business stakeholders, product managers, and engineering teams to deploy production-grade AI applications using Generative AI, LLMs, and knowledge retrieval systems.

The role requires a strong background in Python, data engineering, and cloud deployments (AWS).

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field; Master’s degree preferred.
• Proven experience in building scalable data pipelines and ETL solutions using AWS.
• Strong Python and modern software engineering practices; production AI/ML deployments in cloud environments.

Responsibilities

• Design, develop, and deploy end-to-end AI/ML solutions across data ingestion, feature engineering, model training, deployment, monitoring, and lifecycle management.
• Build scalable, cloud-native AI/ML applications using AWS (SageMaker, ECS, Lambda, S3, EventBridge, Step Functions).
• Create robust data engineering and MLOps pipelines for batch and real-time workloads.
• Develop Generative AI solutions using LLMs, RAG, vector databases, and knowledge retrieval systems.
• Create knowledge graphs and graph databases to boost enterprise intelligence.

Skills

Python

ML engineering

Data pipelines

CI/CD

MLOps

Generative AI

Knowledge graphs

Security & governance

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field

Master's degree preferred

Tools

AWS SageMaker

Docker

Kubernetes

ECS

Lambda

S3

EventBridge

Step Functions

Job description

Vanguard seeks a senior Machine Learning/AI Engineer to design, build, and scale enterprise AI/ML solutions that drive business innovation and operational efficiency. You will collaborate with business stakeholders, product managers, and engineering teams to deploy production-grade AI applications using Generative AI, LLMs, and knowledge retrieval systems.

The role requires a strong background in Python, data engineering, and cloud deployments (AWS).