AWS Bedrock Engineer – GenAI / ML
- Location
- San Antonio, Texas, United States
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview We are hiring an experienced AWS Bedrock Engineer – GenAI / ML for a 100% onsite role based in San Antonio, TX. The key focus of this position spans AWS Bedrock, Python, RAG/AI Agents, and SageMaker/MLOps. • Key Responsibilities & Daily Duties - Build and optimize GenAI solutions utilizing AWS Bedrock, LLMs, RAG, Prompt Engineering, Bedrock APIs, Knowledge Bases, AI Agents, and Guardrails. - Develop REST APIs and microservices using Python alongside data/ML libraries including Pandas, NumPy, Scikit-learn, and TensorFlow/PyTorch. - Oversee AWS SageMaker and MLOps workflows including model training, deployment, pipelines, feature store, model registry, monitoring, and data drift tracking. - Architect and maintain solutions leveraging core AWS Services: Lambda, S3, IAM, EC2, API Gateway, Step Functions, DynamoDB, and CloudWatch. - Implement AI Integration components including vector databases, embeddings, agent workflows, and streaming AI responses. - Drive DevOps and DevSecOps practices with CI/CD, Terraform, GitHub Enterprise, security, compliance, and SRE principles. • Required Qualifications, Skills & Experience - 10+ years of professional experience. - Must-Have Skills: - AWS Bedrock & GenAI: LLMs, RAG, Prompt Engineering, Bedrock APIs, Knowledge Bases, AI Agents, and Guardrails. - Python: REST APIs, Microservices, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch. - AWS SageMaker & MLOps: Model Training, Deployment, Pipelines, Feature Store, Model Registry, Monitoring, and Data Drift. - AWS Services: Lambda, S3, IAM, EC2, API Gateway, Step Functions, DynamoDB, and CloudWatch. - AI Integration: Vector Databases, Embeddings, Agent Workflows, and Streaming AI Responses. - DevOps/DevSecOps: CI/CD, Terraform, GitHub Enterprise, Security, Compliance, and SRE practices. - Preferred Qualifications: - Experience with Atlassian Compass / Backstage, Internal Developer Portals, and Cloud Cost Optimization. • Working Hours, Shifts & Location Details - Location: San Antonio, TX (100% Onsite) • Application Instructions - Share your updated resume via the designated contact email.