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. (
... teams to gather requirements and convert them into technical specifications for GenAI solutions.- Stay current with emerging trends and advancements in generative AI, LLMs, and related technologies.- Identify, troubleshoot, and debug application issues to ensure high performance and reliability.- Develop and maintain unit test ...
... statistical rigor across AI-powered solutions. Own the correctness, validation, and reliability of AI pipelines operating on manufacturing and SCADA data Design and maintain causal graph structures and support causal reasoning workflows for industrial AI systems Build statistical evaluation frameworks to validate AI outputs and ...
... teams to gather requirements and convert them into technical specifications for GenAI solutions.- Stay current with emerging trends and advancements in generative AI, LLMs, and related technologies.- Identify, troubleshoot, and debug application issues to ensure high performance and reliability.- Develop and maintain unit test ...
... and responsible AI practices Collaborate with product, data, and platform teams to deliver business solutions Bachelor's or master's degree in computer science, AI, Data Science, or related field Experience 3–5 years of experience in software/ML engineering At least 1–2 years of hands-on experience in Generative AI / LLM-based ...
... solutions (or any other LLM solution) Develop and Maintaining AI Pipelines Work with custom datasets, utilizing techniques like chunking and embeddings, to train and fine-tune models. Integrate Azure cognitive services (or equivalent platform services) to extend functionality and improve AI solutions Collaborate with cross-functional ...
... candidatesRole Overview :We are looking for a Senior ML Engineer with 5+ years of experience to build, productionize, and operate ML and Generative AI solutions for our AI-powered investing advisor and wealth management https://jobeax.com/link/f5FQc9SxrVvnQKkz role combines ML Engineering, financial ML, GenAI, and MLOps/LLMOps, with ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
As an AIML Engineer, you will be responsible for designing, developing, and deploying AI-powered applications and agentic AI solutions leveraging Python, LangChain, LangGraph, LLMs, RAG, Oracle Database 23c/26ai, and Oracle APEX. You will work closely with cross-functional teams to build scalable AI solutions that integrate ...
... in previous roles — replacing manual/repetitive steps with tools, scripts, or AI-assisted workflows. - An "AI-native" way of working — comfortable using LLMs/AI copilots as part of daily workflow (analysis, documentation, communication, process design), not just as a novelty. - Experience working with AI/ML teams and understanding ...
... cost efficiency in cloud environments. Integrate GenAI APIs (OpenAI, Anthropic, Google Cloud GenAI, Azure OpenAI) into enterprise applications and co-pilot solutions. Establish MLOps best practices for observability, reproducibility, and secure deployment of GenAI workloads. Stay updated on GenAI research , tools, and cloud ...
... Responsibilities :- Architect and develop scalable AI/ML solutions.- Build production-grade Generative AI and LLM-powered applications.- Design and optimize RAG pipelines, AI Agents, and multi-agent workflows.- Lead ML pipeline deployment, monitoring, and optimization.- Develop FastAPI-based AI services.- Implement semantic search using ...
... business requirements into clear technical designs and execution plans.- Review architecture, code quality, and engineering best practices; ensure scalable and maintainable solutions.- Drive adoption of AI capabilities (e.g., ML models, GenAI, intelligent automation) in engineering solutions where applicable.- Proactively ...
... degree in computer science, computer engineering, IT, Data Science Location: Pune or Remote India only Key Responsibilities: Design, develop, and implement Agentic AI systems capable of autonomous decision-making and task execution. Build and optimize AI/ML models leveraging LLMs, NLP, and advanced AI techniques. Develop AI-driven ...
We are seeking a driven and seasoned AI Project Manager with 8-12 years of proven experience in project delivery, customer engagement, and stakeholder management. The ideal candidate will have a solid background in product companies , exposure to AI-driven solutions , and a strong understanding of Indian enterprise customers ...
... data-intensive applications on Azure and/or AWS.- Implement scalable solutions using Docker, Kubernetes, CI/CD, and infrastructure-as-code practices.- Collaborate with architecture, cloud, security, operations, product, and business teams to deliver reliable and secure AI https://jobeax.com/link/iKfkA8JidHXTKcLW Skills:- 7+ years of ...
... provides instant health advice through a seamless, voice-first experience. Role Overview: Lead AI Engineer We are hiring a Senior AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 1+ year of GenAI production experience, and 1+ year of hands-on GenAI product ...
iMerit is a leading AI data solutions company specializing in transforming unstructured data into structured intelligence for advanced machine learning and analytics applications. Our clients span autonomous mobility, medical AI, agriculture, and more—powering next-generation AI systems with high-quality data services. ...
... data-intensive applications on Azure and/or AWS.- Implement scalable solutions using Docker, Kubernetes, CI/CD, and infrastructure-as-code practices.- Collaborate with architecture, cloud, security, operations, product, and business teams to deliver reliable and secure AI https://jobeax.com/link/iKfkA8JidHXTKcLW Skills:- 7+ years of ...
... services. - Develop APIs and backend services to support AI/ML capabilities. - Work with modern Generative AI and LLM technologies where applicable. - Develop solutions involving NLP, predictive modelling, classification, recommendation, or other relevant ML techniques. - Experiment with different algorithms, architectures, ...