AI/ML Solution Architect in Noida, India is listed on Jobeax. Browse 30,000+ vacancies available.
We are seeking a highly experienced Agentic AI Solution Architect to design and scale autonomous AI systems on AWS. This role will architect multi-agent frameworks, LLM-powered decision systems, and enterprise-grade AI platforms that integrate with data warehouses, MarTech ecosystems, and business applications. The architect will define technical strategy for agent orchestration, reasoning pipelines, retrieval-augmented generation (RAG), and AI governance while ensuring security, scalability, and cost https://jobeax.com/link/hsoXmLiEZkO29En7 and deploy foundation models using Amazon Bedrock, SageMaker, and open-source LLMs.- Build scalable RAG pipelines with vector databases and knowledge bases.- Lead AWS architecture across VPC, IAM, KMS, S3, Glue, Redshift, ECS/EKS, and Step Functions.- Develop event-driven AI automation frameworks using Lambda and EventBridge.- Establish AI governance including explainability, bias monitoring, hallucination detection, and audit logging.- Implement infrastructure as code using Terraform, CloudFormation, or AWS CDK.- Integrate AI agents with enterprise data warehouses, MarTech systems, CRM platforms, and APIs.- Define observability and telemetry standards for agent performance and reliability.- Translate business use cases into scalable AI solution https://jobeax.com/link/BsfCGg64DtWZFq1U Qualifications :- 8+ years of experience in cloud architecture.- 3+ years designing AI/ML systems on AWS.- Hands-on experience with Amazon Bedrock, SageMaker, and vector databases.- Strong Python programming skills and experience building distributed systems.- Experience with LangChain, LlamaIndex, AutoGen, or similar agentic frameworks.- Preferred Qualifications :- AWS Certified Solutions Architect - Professional.- Experience deploying production-grade agentic systems.- Background in regulated industries such as Pharma, Healthcare, or Financial Services.- Experience implementing AI governance and compliance https://jobeax.com/link/fYkUIOy2IXm0AvFu Stack :- Foundation Models: Amazon Bedrock, OpenAI APIs, HuggingFace- Orchestration: AWS Step Functions, Lambda, EventBridge- Storage: S3, Redshift, DynamoDB- Vector Databases: OpenSearch, Pinecone- Data Processing: Glue, EMR- Deployment: ECS, EKS- Observability: Define enterprise AI reference architecture and roadmap.- Mentor engineers and ML teams on best practices for agentic AI design.- Lead build vs buy decisions for AI platforms and tools.- Establish AI cost governance and FinOps framework.- Drive cross-functional alignment between business, data, and engineering https://jobeax.com/link/7CpQ1UBuqJUS25b5 Metrics (First 6 - 12 Months) : - Production deployment of at least one enterprise-grade multi-agent system.- Documented enterprise AI reference architecture and governance model.- Operational RAG and evaluation framework with measurable performance benchmarks.- Scaled AI use cases across multiple business domains.- Optimized AI cost-to-value ratio with clear ROI metrics. (
WEKA is architecting a new approach to the enterprise data stack built for the age of reasoning. NeuralMesh by WEKA sets the standard for agentic AI data infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that dramatically increase ...
... Celery or other queue mechanism is Must Good to Have: - Experience working with Docker and cloud platforms (AWS/GCP/Azure) is good to have - Familiarity with ML model serving is Nice to have. - Exposure to GenAI (e.g., llama, OpenAI, HuggingFace, LangChain, Agentic AI etc) or Data Engineering (e.g., Data platforms, pandas, ...
... business problems in the oil and gas industry. Lead end-to-end delivery of AI/ML solutions: scoping, modeling, evaluation, deployment, and monitoring. Develop GenAI/NLP applications, and/or time-series, computer vision, commercial analytics models. Build production-ready solutions applying MLOps best practices (MLflow, CI/CD, ...
... self-service resolution.- Reduce support workload while maintaining or improving customer experience.- Improve first-contact resolution, response time and resolution time.- Design appropriate AI-to-human escalation and handoff mechanisms.- Continuously improve AI using customer conversations and support data.4. AI for Clinical ...
... https://jobeax.com/link/Qy4mGRcOxm0YX1TR and Responsibilities : - Leading Research and Development team for building Deep Learning based Vision Algorithms- Design of Neural Network architectures for various Vision problems on embedded devices- Coming up with Innovations in Deep learning training techniques to boost the solution performance- Keeping ...
... Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven extraction ...
... application, API, deployment, and production issues and implement effective solutions.- Participate in design discussions, code reviews, technical documentation, and architecture decisions.- Work closely with Data Scientists, AI/ML Engineers, Architects, QA, DevOps, and Product teams.- Follow Agile/Scrum practices and contribute ...
... production IaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker, Azure OpenAI, Vertex AI) Experience with Kubernetes and containerization is welcome; experience serving models or deploying inference/GPU workloads is a plus Be transparent about challenges, failures, and successes, including ...
... engineering and applied artificial intelligence. As an AI/ML Engineer Intern, you will work with the product and technology team on healthcare-focused AI use cases and gain exposure to generative AI, multimodal systems, medical models, and production-oriented workflows. Responsibilities: - Build and experiment with AI/ML capabilities ...
... Generation (RAG), Agentic AI workflows, Prompt Engineering, and AI solution design.- Experience designing enterprise-scale AI, data, cloud, and integration architectures.- Hands-on experience with Azure AI Services, Azure OpenAI, AWS AI/ML, GCP AI, or equivalent cloud AI ecosystems.- Strong understanding of MLOps, data ...
... intelligence and machine learning projects while contributing to meaningful technology initiatives. Responsibilities - Support the development and testing of AI and machine learning solutions under guidance from experienced team members. - Assist with data preparation, exploratory analysis, model experimentation, and performance ...
... Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven extraction ...
... Responsibilities : - Lead end-to-end design and delivery of production-grade AI/ML solutions including RAG pipelines, LLM-based applications, and extraction systems.- Architect and develop robust, scalable AI/ML services in Python with focus on reliability and production-grade performance.- Develop and optimize AI-driven extraction ...
... Responsibilities :- Build, train, and optimize Machine Learning and AI models- Work on data analysis, feature engineering, and model evaluation- Develop scalable AI/ML pipelines and workflows- Work with structured and unstructured datasets- Collaborate with engineering and product teams to deliver AI-driven solutions- Implement ...
Job Description : We are looking for a Senior Associate AI/ML Engineer with 3 - 5+ years of hands-on experience in ML Engineering or Applied AI. The role involves designing, developing, optimizing, and deploying production-grade machine learning and multimodal AI solutions across text, image, audio, and video https://jobeax.com/link/CYOxrWtv7KilJskJ ...
... Experience defining and maintaining accountability to Architectural Design Patterns and serving as a technology domain's escalation point. - Experience architecting solutions that incorporate AI/ML or GenAI capabilities, including LLM integration, agentic workflows, or AI-powered features. - Familiarity with AWS AI/ML services at ...
Role Overview:Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms and streaming pipelines, leveraging modern Databricks capabilities such ...
... the role : We are looking for a AI offensive Security researcher / Senior AI Security Engineer/Architect with MLSecOps experience to lead the next generation of AI-native security at https://jobeax.com/link/55bAhFuItfSjCwyh will own two parallel missions : securing o9's GenAI platform and agentic AI ecosystem from emerging ...
About the Role PSYC Aerospace & Defence Industries is looking for an AI/ML & Test Engineering Intern to work alongside our engineering team on the development, testing, and validation of AI-driven software and autonomous systems. This is a hands-on engineering role. You will assist with AI/ML experimentation, dataset preparation, ...
... our AI solutions deliver consistent, high-value outcomes for our global enterprise https://jobeax.com/link/OBSYxKmspgkYWOcn Responsibilities : - Design and maintain scalable automation frameworks using Playwright and Python to validate complex SaaS workflows and UI components.- Develop specialized test suites for AI/ML models ...