AI/ML with AWS Engineer

JOB SUMMARY Design, build, and operate secure, scalable AI platforms on AWS for enterprise and regulated environments. Develop and manage generative AI solutions using Amazon Bedrock for model integration and deployment. Build and operate containerized AI services on Amazon EKS supporting Python-based inference and orchestration workloads. Develop serverless AI workflows using AWS Lambda, API Gateway, and event-driven architectures. Implement secure networking and access controls using VPC, IAM,

Description: Role Name: GenAI Engineer Location: Charlotte, NC / Hybrid JOB DESCRIPTION: Key Responsibilities Job Title: AWS Generative AI Engineer Job Summary We are seeking a highly skilled AWS Generative AI Engineer with strong experience in designing developing and deploying Generative AI solutions on AWS The ideal candidate should possess handson expertise with Amazon Bedrock Anthropic Claude models Large Language Models LLMs prompt engineering retrievalaugmented generation RAG and

Enterprise Architect Duration : 12+ Months Location: Charlotte Job Description: AI/ML knowledge APIs, Apigee, Developer Portals. Expertise in JSON, RESTful services, and similar related tech Expertise in R, Python and predictive analytics. Containers: Docker, Kubernetes, OpenShift, Ansible, Nexus, Software defined networking. DevOps/DevSecOps: Chef, Puppet, Jenkins, Packer, Git, GitHub. Detailed JD: Bachelors Degree in a related field (Computer Science, AI/ML). 8 to 10 years of IT and business/

job summary: We are seeking an experienced and motivated Senior Software Engineer with a strong background in AWS AI development stack, including AgentCore (nice to have). This role offers the opportunity to work on cutting-edge solutions that leverage artificial intelligence to transform business processes and customer experiences. You will design, build, and optimize complex systems in a data-centric environment, collaborating across teams and wearing multiple hats to deliver innovative solut