196 Aws Bedrock Jobs

JD is below: Design, develop, and deploy generative AI based applications using AWS Bedrock. Proficiency in prompt engineering and RAG pipeline Experience in building Agentic Generative AI applications Fine-tune and optimize foundation models from AWS Bedrock for various use cases. Integrate generative AI capabilities into enterprise applications and workflows. Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to implement AI-powered solutions. Utilize AWS services (S3, Lambda, SageMaker, etc.) to build scalable AI solutions. Develop APIs and interfaces to enable seamless interaction with AI models. Monitor model performance, conduct A...

We are looking for an expert-level Python developer with deep expertise in Large Language Models (LLMs) and AI/ML frameworks. The ideal candidate will be skilled in building high-performance applications, fine-tuning AI models, and leveraging modern Python (3.9+) features including async/await for concurrent API integrations. Experience with AWS Bedrock and vector database technologies is essential, with MLOps capabilities considered a strong plus. Key Responsibilities Design, develop, and deploy Python-based applications using Python 3.9+ features such as async/await for concurrent API calls. Fine-tune and optimize AI models using PyTorch and TensorFlow. Build and integrate applications usi...

Hiring Machine Learning Engineers (3–6 yrs) – AWS SageMaker, Bedrock, RAG, LLMs, Python, MLOps

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate...

Commonwealth Bank of Australia is the largest and number one bank in Australia, serving over 17 million customers. We maintain a high-trust brand reputation built on financial strength, innovation, and community impact. As of July 2025, CBA holds market cap of approximately USD 195.7 billion, ranking us among the top 100 most valuable companies globally. Our leadership in digital banking, customer safety, and responsible AI reflects our commitment to building a brighter future for all. Our values are reflected in our high-trust brand reputation. CBA is consistently ranked among Australia's most valuable and trusted brands. Our Code of Conduct Our Code of Conduct includes our Values, with Mus...

As a skilled Generative AI Developer with hands-on experience in Large Language Models (LLMs), prompt engineering, and modern GenAI solution design, you will be responsible for building scalable, real-world GenAI applications and continuously exploring advancements in the field of Generative AI. You should be comfortable working with Retrieval-Augmented Generation (RAG), Agents frameworks, and AWS Bedrock, with a basic understanding of LLMOps practices. Proficiency in Streamlit for developing quick front-end prototypes of GenAI applications is highly desirable. **Key Responsibilities:** - Develop and maintain GenAI solutions using LLMs, RAG pipelines, and agent-based workflows. - Integrate L...

Job Title: Lead AI/ML Engineer GenAI, LLMs & Automation Location: Bangalore (HSR Layout) Experience: 5+ years (including 3+ in Cloud) Role Summary We are building GenAI-driven assistants to transform how professionals learn, buy, and get support. Youll work closely with the CTO and lead the architecture, development, and deployment of LLM-powered solutionsincluding custom model training on proprietary datasets, RAG pipelines, and multi-agent systems. This is a full-stack AI roleyoull also drive infrastructure, DevOps, and observability across the GenAI stack to ensure production-grade performance, scalability, and automation. Must-Have Skills LLM fine-tuning and custom model creation using p...

As a Lead/Architect in the AI/ML field, your role will involve: - Solutioning Enterprise level AIML/GenAI/Cloud stack/Dev/ML Ops. - Platform Development and Evangelism: - Building scalable AI platforms that are customer-facing. - Evangelizing the platform with customers and internal stakeholders. - Ensuring platform scalability, reliability, and performance to meet business needs. - Machine Learning Pipeline Design: - Designing ML pipelines for experiment management, model management, feature management, and model retraining. - Implementing A/B testing of models. - Designing APIs for model inferencing at scale. - Demonstrating expertise with MLflow, SageMaker, Vertex AI, and Azure AI. - LLM ...

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate...

Job Title: Sr. Python GenAi Tester (AWS Stack) Experience: 5+ Years Location: Hyderabad (Hybrid) Share your cv to [HIDDEN TEXT] Job Summary Test generative AI solutions on AWS, validating LLMs, RAG, prompts, and agentic workflows with n8n and Python libraries like deepchecks and LangChain. Key Requirements (8 Points) Test LLM outputs on AWS Bedrock using boto3. Validate fine-tuned LLMs on AWS SageMaker with deepchecks. Verify langchain prompts in AWS environments. Test RAG pipelines with AWS OpenSearch and langchain. Validate AI agents (crewai/autogen) on AWS Lambda. Test n8n agentic workflows (e.g., n8n.io/workflows/6270). Ensure deployment stability on Amazon ECS/EKS with Docker. Monitor p...

Job Description We are looking for a highly experienced Senior or Lead Backend Engineer with a strong background in Java software development, cloud architecture, and DevOps practices. The ideal candidate will have deep hands-on experience in Java-based microservice frameworks such as Spring or Quarkus, serverless technologies such as AWS Lambda, Azure Functions or Google Cloud Functions, container orchestration, and CI/CD automation, along with a strong foundation in modern programming languages. Responsibilities Cloud-Native Development Serverless Focus: proficient in modern Java, extensive experience in developing Java cloud applications, with a focus on microservice frameworks and server...

Role & Responsibilities: Develop and implement machine learning and AI models to solve complex business problems. Collaborate with stakeholders to define project requirements and deliver actionable data insights. Apply statistical and machine learning techniques for predictive and descriptive analytics. Work on Generative AI and LLM-based development (OpenAI, AWS Bedrock, Azure OpenAI). Implement Retrieval Augmented Generation (RAG) systems integrating vector databases and semantic search. Design secure data ingestion pipelines for unstructured data, enabling efficient indexing and retrieval. Generate and manage text embeddings for semantic search and information retrieval. Stay updated with...

Sr. AI/ML Engineer Job Summary: We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities: AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with...

Job Title: AI Engineer AWS & Generative AI Experience Level: 2 to 5 years (with at least 2 years of hands-on experience in Generative AI solutions on AWS) Role Overview We are looking for a hands-on AI Engineer with strong experience in building production-ready Generative AI solutions on AWS. The ideal candidate will have prior experience implementing RAG (Retrieval-Augmented Generation) solutions , working with agentic frameworks , and deploying AI/ML workloads using AWS-native services. This is a core engineering role that requires deep technical expertise, problem-solving skills, and the ability to build end-to-end AI solutions in real-world enterprise environments. You will work closely...

Please note: Your application will route you to a job posting on our website under a different title, this is the correct and same job posting. Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a rang...

About Us Our leading SaaS-based Global Employment Platform enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we're dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere. Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated. The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation ...

About the Job We are looking for an experienced AI/ML & Data Engineer to design, develop, and deploy scalable machine learning models and data infrastructure on AWS. You will work closely with cross-functional teams to deliver AI-driven solutions, integrate large language models (LLMs), and optimize data workflows while ensuring security, scalability, and performance. Core Responsibilities - Develop and deploy ML models and algorithms, including LLMs (GPT, Llama, Gemini, Mistral) and NLP models (BERT, GPT). - Design and maintain scalable ETL/ELT pipelines, data lakes, and warehouses on AWS (S3, Glue, Redshift, Athena, Lambda, DMS). - Build APIs using AWS Lambda, API Gateway, and AWS SDK. - C...

Seeking an experienced Gen AI Architect with expertise in Generative AI, Azure OpenAI, AWS Bedrock, LangChain, and RAG. Responsible for architecting, fine-tuning, and deploying scalable AI/ML models. Required Candidate profile AI/ML professional (7–10 yrs) with hands-on experience in Generative AI, LLMs, LangChain, Azure OpenAI, Python, and PyTorch. Strong in model deployment, prompt engineering, and data pipelines.

Company Description Repro India bridges the gap between content owners (publishers) and their end customers, delivering physical books or e-books anywhere in the world. The company offers a range of services including content designing, digital warehousing, content adaptation, and enhancements. Repro India has a presence in India, Africa, the US, and the UK, serving global publishers for over two decades. Repro is focused on the rapidly growing Books on Demand business model to meet the needs of the e-commerce-driven book market. Repro partners with prominent publishers such as Pearson, Penguin, and McGraw-Hill to make millions of books available globally. Role Description This is a full-tim...

Network Science is a London based AI consulting company on a mission to AIfy businesses. We help leading organizations unlock genuine business value through intelligent automation and productivity tools. Our team is made up of hands-on problem solvers who take pride in ownership, curiosity, and teamwork. If you're eager to work on cutting-edge tech and shape the future of enterprise AI, you'll feel right at home here. Role:AI Solutions Architect Location:Onsite Mumbai, India AI Solution Architect Functional Expertise: - Design end-to-end AI solutions for enterprise customers - Create reference architectures for common use cases: NSOffice.ai (AI agents, RAG systems, fine-tuning pipelines, mul...

Please note: Your application will route you to a job posting on our website under a different title, this is the correct and same job posting. Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a rang...

As a Senior Software Engineer (Fullstack) at McKinsey, you will be a key player in the redesign and modernization of the Capital Analytics (CA) Toolkit, a central platform used firm-wide for advanced data search, reporting, and analytical tools. Your role will involve leading the development of scalable backend services to enhance the search and AI capabilities of the CA Toolkit, collaborating closely with a dedicated frontend engineer and data platform team, and designing APIs and integration points for internal and external systems. Your contributions will be crucial in transitioning towards digital asset-based consulting. **Your Responsibilities will include:** - Leading the development o...

As a Senior AI Engineer at Corporate AI Incubator, you will play a vital role in developing innovative AI solutions within the banking sector. You will collaborate with industry experts and leverage cutting-edge technologies to address real-world challenges in corporate banking. Your responsibilities will include: - Designing, developing, and implementing AI models, algorithms, and GenAI models. - Collaborating with cross-functional teams to integrate AI solutions into products and services. - Conducting research to advance the state-of-the-art in AI and machine learning. - Analyzing and interpreting complex data sets to drive decision-making. - Optimizing and fine-tuning AI models for perfo...

5-7 years of experience in Product development and AI/ML or NLP solution development. ? Strong coding proficiency in Python with practical experience in libraries like FastAPI, Pandas, PyTorch, TensorFlow, or Transformers. ? Experience with LLM frameworks and strong understanding of retrieval systems, embeddings, and vector databases. ? Hands-on experience with RESTful API development, microservices, and containerized deployments (Docker/Kubernetes). ? Familiarity with cloud AI services such as GCP Vertex AI (preferred) or AWS Bedrock, Azure OpenAI etc.. ? Exposure to data pipelines, preprocessing, and production-grade model deployment.

Role Overview: As an AI Engineer in this role, you will be responsible for architecting and implementing advanced generative AI models. Your expertise in Generative AI, AWS Bedrock, Azure Open AI, Document Intelligence tools, Huggingface, Agentic AI, and Advanced Data Pipelines will be crucial in developing models for image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. Key Responsibilities: - Architect and implement advanced generative AI models for various applications such as image and text generation, image and document extraction, RAG, Prompt engineering, and synthetic data generation. - Stay updated with the latest advancemen...