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. (
... projects, we are building a Centre of Excellence for PLM architecture and transformation. I’m Khushaali, Functional Practice Lead at We.PLM. I’m building a team of Solution Architects who structure, challenge and elevate our clients’ PLM strategies. This is where you come in. Your mission As solution architect you are responsible ...
... Computer Science, Engineering, or a related field. A Ph.D. in AI or Machine Learning is a plus.- Proven experience as an AI Engineer, Machine Learning Engineer, or AI Architect, with a track record of successful AI solution design and implementation.- Streamlit - Python- Generative AI- HuggingFace, OpenAi and any Custom Model ...
... ingestion, processing, storage, and consumption layers - Drive adoption of modern data stack (e.g., cloud data platforms, data lakes/lakehouse, orchestration, APIs, AI/ML enablement) - Work with the DevOps team closely to create and own CI, CD , release management - Lead incident management drives, situations and resolution. ...
Job Summary:We are seeking an experienced ServiceNow TSOM Architect to lead the design, architecture, and implementation of ServiceNow Technology Service Operations Management (TSOM) solutions. The ideal candidate will be responsible for defining scalable IT Operations architectures, driving observability and AIOps initiatives, ...
... expertise in SAP SD and Order-to-Cash processes, with the ability to independently own the outbound workstream for country-specific e-Invoicing rollouts from solution design through https://jobeax.com/link/lmXbmsN4mVwoRFYw Responsibilities :- Lead solution architecture and functional design for SAP SD and SAP DRC/e-Invoicing ...
... software engineering, AI, or data platforms (8+ years in AI/ML, 2 - 4 years in GenAI/LLM systems).- Proven track record designing and deploying production-grade AI/ML systems at scale.- Hands-on ownership of GenAI / LLM-based systems in production https://jobeax.com/link/RJlrlMwwlgVOmeQM Technical Expertise :- RAG architectures ...
About the Role:We are looking for an experienced AWS Solutions Architect to design, architect, and lead the implementation of scalable, secure, highly available, and cost-effective cloud solutions. The ideal candidate will have strong expertise in AWS architecture, cloud migration, infrastructure modernization, security, ...
SAP S/4HANA Solution Architect - FI/COPosition Overview:We are seeking a highly experienced SAP S/4HANA Solution Architect with strong expertise in SAP Finance and Controlling (FI/CO) to lead solution architecture and design across a complex SAP https://jobeax.com/link/0DQlPeAMr1jFuIB2 Responsibilities:- Own and drive the ...
... distributed systems in high-traffic cloud environments.- Advanced proficiency in Python and modern AI frameworks, specifically leveraging LangChain and LLM-based architectures to build autonomous agentic solutions.- Strong command over Kubernetes and container orchestration, with the ability to manage the lifecycle of AI-heavy ...
Responsibilities - Lead AI-driven solution design and delivery using Generative AI and Agentic AI for enterprise business problems and process automation. - Architect and implement GenAI pipelines on SAP BTP using SAP AI Core, Generative AI Hub, and SAP HANA Cloud. - Design RAG and GraphRAG workflows, knowledge graphs, ...
... Competencies : - 10+ years of professional experience in end-end AI/ML engineering development, AI/ML architecture design.- Proven track record delivering 3+ ML/AI solutions to production preferably in enterprise or financial services environments.- Experience in deploying Gen AI solutions/LLMs through integration with ...
... vector database indexing (e.g., Azure AI Search), hybrid search (e.g., BM25 + vectors), and reranking to ground model outputs and minimize hallucinations.- Agentic AI Workflows : Design and implement agentic AI solutions, incorporating tool-calling, state management, memory architectures, planning vs. reacting agent design, ...
... optimization, and resiliency engineering. This is not a pure research role — it's an applied engineering + architecture role for someone who can code, ship, and integrate AI into production infra workflows. Key Responsibilities - Architect and deliver AI/ML/LLM-based solutions embedded into infrastructure operations (ITOps/AIOps, self-healing ...
... between traditional engineering teams and AI-native specialists, enabling productivity uplift and scalability without deep ML model training or MLOps ownership. AI Powered Tech Talent. Key Responsibilities Solution Architecture Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, ...
... in enterprise architecture, cloud modernization, or solution architecture.- Minimum 5 years of hands-on AWS architecture experience delivering enterprise-scale AI & cloud solutions.- AWS Certified Solutions Architect Professional certification preferred.- Proven experience leading architecture for large-scale modernization ...
... understanding of Nixtla library is a plus. - Experience with MLOps , model monitoring, and CI/CD pipelines. Domain Knowledge Strong Supply Chain domain knowledge , especially demand forecasting, inventory planning, and sales forecasting. Understanding of forecast lifecycle, demand variability, and business constraints.
Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This is an opportunity to do career-defining work. In this team, you will focus on being a customer-facing ...