Lead AWS AI Engineer

Accord Technologies Inc; Piscataway Township (NJ); On-site; USD 150,000 - 230,000; Full time

Job summary

Accord Technologies Inc. is seeking a Lead AWS AI Engineer to design, develop, and lead enterprise-scale AI/ML solutions on AWS.

The role emphasizes hands-on expertise with AWS AI services such as Transcribe, Comprehend, and Bedrock, and requires leadership of a cross-functional team in a cloud-native environment. The ideal candidate will possess 10+ years of experience, strong Python skills, and a proven track record in building NLP, speech analytics, and generative AI applications on AWS,

Qualifications

• 10+ years of experience in AWS AI/ML leadership roles.
• Expertise in designing and leading enterprise-scale AI/ML solutions on AWS.
• Experience building NLP, speech analytics, and generative AI applications.
• Proficient in Python and cloud-native integrations (APIs/SDKs).
• Strong leadership, mentoring, and stakeholder management skills.

Responsibilities

• Lead design and implementation of AI/ML solutions on AWS.
• Architect and build intelligent applications using AWS AI stack.
• Develop solutions using Amazon Transcribe for speech-to-text tasks.
• Utilize Amazon Comprehend for NLP and text analytics.
• Leverage Amazon Bedrock for foundation-model based apps.
• Collaborate with business, product, and engineering teams to translate requirements into scalable solutions.
• Design end-to-end data and AI workflows: ingestion, preprocessing, model integration, deployment.
• Ensure security, compliance, performance, and cost optimization.
• Guide team on AWS architecture, MLOps, and deployment best practices.
• Provide technical leadership, mentoring, and code/design reviews for junior engineers.
• Evaluate emerging AWS AI/ML services and recommend innovative solutions.

Skills

Leadership

Python

CI/CD

MLOps

Stakeholder management

Problem-solving

Tools

AWS Transcribe

AWS Comprehend

AWS Bedrock

SageMaker

Lambda

S3

API Gateway

Step Functions

IAM

CloudWatch

Job description

Lead AWS AI Engineer

Location: Piscataway, NJ

Experience level: min 10+ years

Position type: W2 position

Start Date Immediate

Role Summary

We are seeking an experienced AWS AI Engineer Lead to design, develop, and lead enterprise-scale AI/ML solutions on AWS.

The ideal candidate will have strong expertise in the AWS AI stack, with hands‑on experience in Amazon Transcribe, Amazon Comprehend, and Amazon Bedrock, along with a proven ability to architect and deploy intelligent, scalable, and secure cloud-native solutions.

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.
• Amazon Comprehend for natural language processing, sentiment analysis, entity recognition, and text analytics.
• 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 / Lead AI Engineer / Solution Architect.
• 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.
• Experience with enterprise AI transformation programs.
• Familiarity with vector databases, RAG architectures, and conversational AI solutions.
• Experience in deploying production‑grade generative AI solutions.