Skip to main content
Loading
snaprecruit
Logo
Close
Log in
Sign Up
Post a Job

Millions Of Active Candidates

For Employers
VIEW SIMILAR JOBS →
loadingbar
Loading, Please wait..!!

Ai Engineer

  • Ai Engineer job type Posted on: Oct 12, 2026
  • Ai Engineer experience level SFE
  • Ai Engineer employment type Malvern, Pennsylvania
  • Ai Engineer employment type Onsite
  • Ai Engineer salary Full-time
Save this job

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Ai Engineer roles in Pennsylvania.

View Salary Guide →
Over 12 millions jobs on Snaprecruit.
Find your match !
VIEW SIMILAR JOBS →

Job Title :

Ai Engineer

Job Type :

Full-Time

Job Location :

Malvern Pennsylvania United States

Remote :

No

Jobcon Logo Job Description :

Must Have Technical/Functional Skills
Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on
AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture
Python, PySpark, SQL
Machine Learning, Deep Learning, NLP
Generative AI, LLMs, Prompt Engineering
Amazon Bedrock, AWS SageMaker
RAG (Retrieval Augmented Generation), AI Agents
LangChain, LangGraph, LlamaIndex
AWS Services: S3, Lambda, IAM, RDS, CloudWatch
MLOps, MLflow, CI/CD Pipelines
Docker, Kubernetes, Terraform
REST APIs, FastAPI, Model Deployment & Monitoring
Roles & Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems.
Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement.
Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions while ensuring performance, governance, and cost optimization.
Generic Managerial Skills, If any
Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
Effective communication with business and technical stakeholders

People Also Search For

Similar Jobs You May Be Interested In

Senior Ai Cloud Platform Engineer Aws

Confidential Employer
Miami, Florida

Senior Agentic AI Engineer

Confidential Employer
Annapolis Junction, Colorado

Forward Deployed Research Engineer - Enterprise AI Agents

Confidential Employer
San Francisco, Texas

AI Engineer

Confidential Employer
Los Angeles, California

AI Engineer

Confidential Employer
Boston, Massachusetts

AI Engineer

Confidential Employer
Seattle, Washington

AI Engineer

Confidential Employer
Austin, Texas

Senior AI Engineer

Confidential Employer
San Francisco, Texas

Senior AI Platform Engineer

Confidential Employer
Englewood, Colorado

Forward Deployed AI Engineer - Multi-Agent Systems & Martech (US Remote)

Confidential Employer
New York, New York

Ai Engineer Lead

Confidential Employer
San Jose, California

Gcp Data Engineer Ai Experience

Confidential Employer
Hartford, Connecticut

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

84845-7542

Employment:

Full-time

City:

Malvern

Job Origin:

CIEPAL_ORGANIC_FEED

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!
Get your FREE tickets

Ai Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Must Have Technical/Functional Skills
Strong experience in designing, developing, and deploying Generative AI and Machine Learning solutions on
AWS using Bedrock, SageMaker, Python, MLOps, and cloud-native architecture
Python, PySpark, SQL
Machine Learning, Deep Learning, NLP
Generative AI, LLMs, Prompt Engineering
Amazon Bedrock, AWS SageMaker
RAG (Retrieval Augmented Generation), AI Agents
LangChain, LangGraph, LlamaIndex
AWS Services: S3, Lambda, IAM, RDS, CloudWatch
MLOps, MLflow, CI/CD Pipelines
Docker, Kubernetes, Terraform
REST APIs, FastAPI, Model Deployment & Monitoring
Roles & Responsibilities
Design, develop, and deploy AI/ML and Generative AI solutions using AWS services such as Bedrock, SageMaker, Lambda, and S3.
Build and optimize RAG pipelines, LLM-based applications, AI agents, and model inference workflows to solve business problems.
Develop scalable data pipelines and MLOps frameworks for model training, deployment, monitoring, and continuous improvement.
Collaborate with business, data engineering, and cloud teams to deliver secure, production-ready AI solutions while ensuring performance, governance, and cost optimization.
Generic Managerial Skills, If any
Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
Effective communication with business and technical stakeholders

Loading
Please wait..!!