AWS AI Engineer V - ONLY USC AND GC CANDIDATES

Remote Dallas New York Full-time Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Hudson Manpower. Remote, United States · full-time · no salary stated · we estimate $131,000–$205,779 across the United States.

Estimated pay

Hudson Manpower has not published a salary for this role. The figure below is our estimate, not theirs.

$131,000 – $205,779

What the middle half of mid-level AI engineering roles in the United States paid, among postings that did state a salary.

Worked out from 404 postings that stated pay, median $165,000. Last updated Oct 29, 2026.

RoleAI Engineering

SeniorityMid-level

LocationDallas

WorkplaceRemote

EmploymentFull-time

PostedJun 30, 2025

Also hiring inNew York

Role brief

remoteroles summary, based on the employer's posting.

What you'll do

Build and put into use AI and machine-learning solutions in a cloud-native setup
Use Bedrock, SageMaker, ECS and Lambda to deliver cloud-based AI work
Implement retrieval-augmented generation with tools such as Transformers, PyTorch, TensorFlow and LangChain

What you bring

You have a Ph.D. in AI, machine learning or data science
You can code proficiently in Python and Golang
You have used AWS services including Bedrock, SageMaker, ECS and Lambda
You have contributed to open-source work involving AI, machine learning or cloud projects

Who this fits

This remote U.S. role suits an experienced AWS AI engineer with hands-on cloud and machine-learning skills. Applicants must be U.S. citizens or green card holders.

From the employer

Greetings,

We’re looking for a highly experienced AWS AI Engineer to design and implement cutting-edge AI/ML solutions in a cloud-native environment.

Job Title: AWS AI Engineer V

Location: REMOTE USA

TOP SKILLS:

Must Have

AWS services- Bedrock, SageMaker, ECS and Lambda

Demonstrated contributions to open-source AI/ML/Cloud projects

Demonstrated proficiency in Python and Golang coding languages

Experience implementing RAG architectures and using frameworks and ML tooling like: Transformers, PyTorch, TensorFlow, and LangChain

LLM

Ph.D. in AI/ML/Data Science

Nice To Have

Demonstrated experience with AWS organizations and policy guardrails (SCP, AWS Config)

FinOps

What You’ll Get

Competitive base salary

Medical, dental, and vision insurance coverage

Optional life and disability insurance provided

401(k) with a company match and optional profit sharing

Paid vacation time

Paid Bench time

Training allowance offering

You’ll be eligible to earn referral bonuses!

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