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. (
... for LLM fine-tuning, RAG pipelines, or agentic AI systems on AWS Demonstrated experience operating in a serverless-first environment and making principled architectural decisions on cost, scalability, and performance AWS certifications (Data Engineer Associate, Solutions Architect Associate or Professional, or equivalent) ...
... Manage cross-functional squads spanning data scientists, AI architects, platform engineers, and business SMEs. Partner with IT and DO process owners to identify AI use cases tied to measurable process KPIs (cycle time, cost-to-serve, automation rate, quality). Ensure alignment with Nokia's IT governance, architecture standards, ...
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... 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 ...
... System Architect role at PertSol is a full-time, on-site position based in Mumbai/Delhi/Gurugram. The System Architect will design and define end-to-end system architectures for telecom, intelligence, and security solutions, ensuring scalability, reliability, and security. Daily responsibilities include analyzing requirements, ...
... intelligence pipelines.- Work with structured and unstructured pharma data such as clinical, regulatory, or scientific datasets.- Adapt and evaluate LLMs for domain-specific use cases.- Collaborate with domain experts to translate business requirements into ML/AI solutions.- Own the ML lifecycle from data preparation through ...
... ML-driven features, not just read about them - Native with AI design tooling: Figma Make, v0, Lovable, Cursor, Claude, Midjourney/Sora for concepting. You use AI to move five times faster, not to outsource judgement - Strong systems thinking — information architecture, flows, states, edge cases. Not just screens - Comfortable ...
Big Data Processing: Design and manage scalable data pipelines to process massive datasets efficiently for model training and inference. Build, train, and fine-tune complex neural networks across text, audio, and visual modalities. Cloud Deployment: Architect and deploy models to cloud environments, leveraging distributed ...
... including libraries that support effective data analysis Practical experience developing AI solutions such as classification, clustering, or NLP Good understanding of ML Ops and feature engineering techniques for model workflows Ability to work with Azure AI Search to support business-driven model delivery Solid grasp of software ...
... agricultural monitoring (raster processing, zonal statistics, ML classification, time-series modeling). - Integrate outputs with downstream systems (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote ...
... Machine Learning and Generative AI solutions. Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources. Develop AI agents using Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar technologies. Integrate AI agents with enterprise APIs, tools, databases, and ...
... Azure, GCP) and MLOps tools. - Familiarity with vector databases, RAG pipelines, and LangChain or similar frameworks. - Proven track record of delivering Gen AI solutions in production. - Experienced in providing technical solutions and working closely with architecture and dev teams to derive the desired outcome. - Strong ...
... skills and a successful track record of manipulating, processing and extracting value from large and heterogeneous datasets. - Practical experience developing AI/ML or generative-AI solutions, including prompt design, structured outputs and systematic evaluation. - Working knowledge of cloud platforms, preferably AWS, and ...
... risk, and transparency challenges. Design, research, implement, and evaluate machine learning solutions spanning traditional ML, deep learning, NLP, and LLM/GenAI applications Build and fine-tune models — from gradient-boosted trees and classical statistical models to transformer-based architectures and retrieval-augmented ...
... Partner with Credit Risk Strategists to translate model outputs into actionable credit limits, cutoff thresholds, and loss-forecasting simulations. - Platform Architecture: Collaborate with Data Platform Engineers to build reliable pipelines and high-throughput feature extraction. - Raise the technical bar through peer reviews, ...
... scale distributed training environments using NCCL and InfiniBand for multi-GPU and multi-node training.- Apply reinforcement learning techniques (e.g., RLHF, RLAIF) to align model behavior with human preferences and domain-specific goals.- Experience with Hybrid NLP solutions that combine symbolic and machine learning approaches.- ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... technical specifications. Experience with Whiz AI or product-based environments is preferred. A strong product mindset is mandatory. Candidates who have worked for Saas and UI/UX products Business Analyst who has used AI/ML OR LLMs, OR agentic AI. Super good communication Single round of interview – direct with Client
About the role — We are seeking a skilled Data Scientist to join our team, focusing on the development and implementation of advanced AI models. The ideal candidate will leverage generative AI and large language models (LLM) to enhance our data-driven decision-making processes. Key responsibilities : Design and develop ...
... frameworks (e.g., Experience with microservices architecture, message brokers (e.g., Experience with RPA tools or frameworks (e.g., Experience with Generative AI technologies, including working with frameworks like TensorFlow, PyTorch, or Hugging Face, and integrating AI/ML models into software applications. - Experience ...