Lead AWS AI Engineer

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. #J-18808-Ljbffr Accord Technologies Inc