10 of 10 Remote Amazon Bedrock Jobs

and Git, ensuring the service is robust, scalable, and maintainable. Integrate a wide range of services, including third-party APIs and foundation models from hyperscalers like Google (Vertex AI), Amazon (Bedrock), and Microsoft (Azure AI). Build secure and performant RESTful APIs using Python frameworks like FastAPI or Django REST Framework to connect the AI service with Back … Large Language Models via API or in a local context (eg HuggingFace transformers). Practical experience using managed AI services and foundation models from a major cloud provider (eg, Amazon Bedrock, Google Vertex AI, Azure AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of More ❯

techniques. Solid programming skills in Python with familiarity in Bash, C, and C++. Practical experience deploying machine learning models in production environments. Familiarity with AWS services such as SageMaker, Bedrock, and GlueDemonstrated ability to work with large-scale datasets using tools such as Pandas, NumPy, and SQL. U.S. citizenship required Active TS/SCI w. Polygraph clearance required Must More ❯

edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop machine learning models for data analysis and automation, including building RAG models for AWS Bedrock Automate analytic solutions and build scalable analytics capabilities Collaborate with the Mission team to gather requirements across various teams Assess and implement new technologies and tools to enhance data More ❯

life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence More ❯

certification. Willingness to do a programming challenge during the interview process. Experience with Jupyter Notebooks, Python Data Science Libraries. Experience with ML-OPS and related tools (e.g., MLFLOW, Sagemaker, Bedrock) and ability to build interactive, insightful dashboards for monitoring ML models. Place of Performance: Hybrid work in San Antonio, TX. Desired Skills (Optional) Experience with NOSQL databases such as More ❯

prompt/context engineering, and AI agent frameworks to shape cutting-edge capabilities. Using Agile methodologies, advanced retrieval architectures (e.g., FAISS, HNSW, ScaNN), and cloud AI platforms (e.g., AWS Bedrock), you'll build intelligent systems that integrate seamlessly into mission environments. You'll analyze the needs and the environment to ensure the solutions you're developing account for the … experience in Python, Java, or C++ Familiarity with TensorFlow, PyTorch, Hugging Face, Scikit-learn, and related ML libraries Experience with Docker, Kubernetes, and cloud AI platforms such as AWS Bedrock, Sagemaker, Azure ML, or GCP Vertex AI Working knowledge of data tools such as Spark, Pandas, SQL/NoSQL databases Security: TS clearance required Nice to Have Experience with More ❯

Doing Designing secure, scalable APIs in Python/FastAPI Building and optimising Retrieval-Augmented Generation (RAG) pipelines Owning vector databases (pgvector, Weaviate, FAISS) and embedding strategies Integrating OpenAI/Bedrock models and developing guardrails & evaluation flows Ingesting and structuring data for high-performance retrieval and analytics Building clean, fast UIs with React/Next.js Shaping cloud architecture ( AWS, Docker More ❯

Docker, Kubernetes, ECS, EKS, Terraform, Ansible, CloudFormation, Python, Java, C++, TypeScript, JavaScript, React, Angular, DevOps, CI/CD, Git, microservices, REST API, Kafka, Kinesis, distributed systems, RAG pipelines, LangChain, Bedrock, Hugging Face, Qdrant, computer vision, deep learning, neural networks, TensorFlow, PyTorch, SageMaker, Bedrock, security clearance, Top Secret, Secret, DevSecOps, containerization, automation, data engineering, cloud architecture, scalable systems, federal More ❯

systems. What You'll Do Design and define AI/ML solution architecture, including LLMs, vector databases, and prompt engineering strategies. Select and integrate the right AWS services (e.g., Bedrock, SageMaker, Kendra, Aurora, S3, Athena) for scalable AI workloads. Collaborate with cross-functional teams to align solutions with enterprise standards. Stay ahead of Generative and Agentic AI trends and … What We're Looking For 6+ years of architecture experience, ideally with AI/ML-driven solutions. 2-3+ years of experience designing or deploying solutions in AWS (Bedrock, SageMaker, or related). Strong background in data science or AI engineering before transitioning into architecture. Familiarity with vector databases (e.g., Aurora, Kendra, MongoDB) and prompt engineering concepts. Excellent More ❯

Develop and oversee the implementation of cloud-native applications, ensuring they are scalable, secure, and efficient. Lead the design and architecture of solutions utilizing GenAI services such as AWS Bedrock and Google Vertex AI. Collaborate with cross-functional teams to integrate AI solutions into existing product offerings. Establish guidelines and best practices for GenAI solution design and utilization, driving … we provide to our employees, visit What We're Looking For: Basic Required Qualifications: Proven experience in building cloud-native applications. Hands-on experience with GenAI services like AWS Bedrock and Google Vertex AI. Strong understanding of solution design and architecture principles. Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders. Background in More ❯