AWS AI Engineer - Midlevel

Accord Technologies Inc; Piscataway Township (NJ); On-site; USD 82,656 - 123,984; Full time

Job summary

Accord Technologies Inc in Piscataway, NJ is seeking a midlevel AWS AI Engineer to design and implement AI/ML solutions on AWS, focusing on Transcribe, Comprehend, and Bedrock. This is a W2 contract with ASAP start.

You will collaborate with product and engineering teams to drive AI initiatives, guide architecture, ensure security and cost optimization, and mentor junior engineers while advancing NLP, speech analytics, and generative AI capabilities.

Qualifications

• Strong experience as an AWS AI Engineer.
• Deep hands-on expertise in the AWS AI stack, especially Amazon Transcribe, Amazon Comprehend, and Amazon Bedrock.
• Proficiency in Python and working knowledge of APIs, SDKs, and cloud-native integrations.
• Experience with AWS services such as Lambda, S3, API Gateway, Step Functions, IAM, CloudWatch, and SageMaker.
• Knowledge of prompt engineering, foundation models, and LLM-based application development.
• Experience with CI/CD, DevOps, and MLOps practices in cloud environments.
• Strong understanding of security, scalability, and cost optimization in AWS.

Responsibilities

• Lead the design and implementation of AI/ML solutions using AWS services.
• Architect and build intelligent applications leveraging the AWS AI stack.
• Develop and integrate solutions using Amazon Transcribe for speech-to-text and audio processing.
• Develop and integrate solutions using Amazon Comprehend for NLP, sentiment analysis, and entity recognition.
• Develop and integrate solutions using Amazon Bedrock for building generative AI apps.
• Collaborate with business, product, and engineering teams to identify AI opportunities.
• Design end-to-end data and AI workflows including ingestion, preprocessing, model integration, and deployment.
• Ensure AI solutions meet security, compliance, performance, and cost-optimization requirements.

Skills

AWS AI Engineer

Python

MLOps

Bedrock

LLM & NLP

Speech analytics

API integration

CI/CD

SageMaker

Tools

SageMaker

Lambda

S3

API Gateway

Job description

Position Overview

Title: AWS AI Engineer - Midlevel
Location: Piscataway, NJ
Experience Level: 8-10 Years
Position Type: W2 Contract
Start Date: ASAP

Key Responsibilities

• Lead the design and implementation of AI/ML solutions using AWS services.
• Architect and build intelligent applications leveraging the AWS AI stack.
• Develop and integrate solutions using Amazon Transcribe for speech‑to‑text and audio processing use cases.
• Develop and integrate solutions using Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text analytics.
• Develop and integrate solutions using Amazon Bedrock for building generative AI applications using foundation models.
• Collaborate with business, product, and engineering teams to identify AI‑driven opportunities and translate requirements into scalable solutions.
• Design end‑to‑end data and AI workflows, including ingestion, preprocessing, model integration, and deployment.
• Ensure AI solutions meet security, compliance, performance, and cost‑optimization requirements.
• Guide the team on best practices for AWS architecture, MLOps, and AI solution deployment.
• Provide technical leadership, mentoring, and code/design reviews for junior engineers.
• Evaluate emerging AWS AI/ML services and recommend innovative solutions for business needs.

Required Skills

• Strong experience as an AWS AI Engineer.
• Deep hands‑on expertise in the AWS AI stack, especially:
• Amazon Transcribe.
• Amazon Comprehend.
• Amazon Bedrock.
• Strong understanding of AI/ML solution architecture on AWS.
• Experience building NLP, speech analytics, and generative AI applications.
• Proficiency in Python and working knowledge of APIs, SDKs, and cloud‑native integrations.
• Experience with AWS services such as Lambda, S3, API Gateway, Step Functions, IAM, CloudWatch, and SageMaker.
• Knowledge of prompt engineering, foundation models, and LLM‑based application development.
• Experience with CI/CD, DevOps, and MLOps practices in cloud environments.
• Strong understanding of security, scalability, and cost optimization in AWS.
• Excellent problem‑solving, leadership, and stakeholder management skills.

Preferred Qualifications

• AWS certifications such as AWS Certified Machine Learning Specialty or AWS Certified Solutions Architect.