System Architect - Agentic AI Infrastructure in Hyderabad,… - Jobeax
Vacancy description
System Architect - Agentic AI Infrastructure in Hyderabad, India
HiringBlaze
RemoteWork from anywhere
HybridMix of office and remote
India, Hyderabad
System Architect - Agentic AI Infrastructure in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
Role Overview:As a System Architect specializing in Agentic AI Infrastructure, you will be the technical visionary responsible for designing and scaling the backbone of our next-generation autonomous AI systems. You will lead the architectural evolution of our agentic frameworks, ensuring that complex LLM-driven workflows are performant, reliable, and secure. In this role, you will collaborate closely with cross-functional engineering teams, product managers, and data scientists to translate ambitious AI product roadmaps into robust distributed systems. Your work will directly influence the efficiency of our AI agents, enabling them to execute multi-step reasoning tasks at scale and delivering transformative value to our global customer https://jobeax.com/link/XUOpfYgsmS7GxCpk Responsibilities:- Design and implement highly scalable distributed systems that support complex Agentic AI workflows, ensuring low-latency execution and high availability for mission-critical applications.- Architect end-to-end MLOps pipelines that integrate LLMs and agentic frameworks into production environments, streamlining the deployment and monitoring of intelligent models.- Lead the integration of advanced orchestration tools and LangChain-based workflows to enable seamless communication between AI agents and external enterprise systems.- Optimize cloud infrastructure and Kubernetes-based deployments to balance computational costs with the high-performance requirements of real-time Generative AI processing.- Establish best practices for prompt engineering and model fine-tuning at the architectural level to improve the accuracy and reliability of autonomous agent outputs.- Mentor senior engineering talent and foster a culture of technical excellence, ensuring that architectural decisions align with long-term business scalability and security https://jobeax.com/link/NKlt3YnZFxTxA2qx Skillset:- Demonstrated expertise in designing complex System Architectures and Microservices, with a proven track record of managing 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 workloads across hybrid or multi-cloud infrastructures.- Proven ability to communicate complex technical strategies to non-technical stakeholders, ensuring alignment between engineering output and business objectives.- Exceptional problem-solving skills with a focus on MLOps and API Integration, capable of navigating the challenges of deploying experimental AI models into stable production environments.- A collaborative mindset suited for a distributed work environment, demonstrating the self-discipline and communication skills required to thrive in a remote-first setting.- A degree in Computer Science, Engineering, or a related quantitative field, complemented by 7 - 10 years of professional experience in building scalable software and AI infrastructure. (ref:hirist.tech)
... business teams to translate requirements into practical AI solutions. - Troubleshoot model, data, pipeline, and inference-related issues and continuously improve system performance. - Stay current with developments in LLMs, SLMs, agentic AI, machine learning, AI safety, and responsible AI . WHAT MAKES YOU A GREAT FIT - 3+ years ...
... 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 rapid, high-quality application development including agent mode, rules configuration, and context management.- Experience with prompt engineering, RAG architectures, vector databases, and LLM API integration (OpenAI, Azure OpenAI, Anthropic).- Experience deploying AI applications to production (batch and/or real-time) ...
... https://jobeax.com/link/MjVgtz6NFV5yu0D5 AI Architecture : - Design and build enterprise Agentic AI solutions using Amazon Bedrock, multi-agent orchestration, RAG, knowledge bases, and responsible AI principles.- Assess existing AI agent platforms and define modernization strategies to AWS-native architectures.- Establish architecture patterns for responsible ...
... 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 ...
... 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 systems, predictive capacity, automated RCA) - Design and build agentic AI workflows (multi-step, tool-using agents) ...
... robust, scalable AI architectures that significantly enhance operational efficiency and customer https://jobeax.com/link/NfKu17xn3PQ6gnFL Responsibilities :- Architect and implement end-to-end Generative AI pipelines, including RAG systems and fine-tuning frameworks, to deliver high-impact business solutions for enterprise ...
... LangChain, AutoGen or CrewAI- Strong Python, FastAPI and asynchronous programming skills- Hands-on experience with RAG pipelines and Vector Databases such as FAISS, Pinecone or pgvector- Experience with Prompt Engineering and LLM evaluations- Strong understanding of Agentic AI / Multi-Agent architectures- Experience with ...
... every project Conduct architecture reviews, identify risks, and manage technical debt 5+ years of software engineering experience with at least 2 years in an architecture or technical lead role - Strong understanding of AI/LLM system design, APIs, and integration patterns - Experience with cloud infrastructure design on AWS, ...
... investment research. We''''re looking for a Solutions Architect who can design and deliver the AI infrastructure that makes that possible, including RAG pipelines, agentic workflows, and LLM-powered research tools deployed within strict enterprise security requirements. Architect end-to-end generative AI solutions: design RAG ...
... for a Generative AI / Agentic AI Developer with strong experience in Large Language Models (LLMs), AI Agents, RAG architectures, and intelligent automation systems. The role involves designing, developing, and deploying next-generation AI-powered applications using modern GenAI frameworks and multi-agent architectures. ...
Job Summary :Agentic AI + RPA DeveloperResponsible for the design, development, implementation, and integration of new or existing applications, systems, programs, or software including documentation, testing and collaborating with business users to understand requirements and translating into technical solutions. Analyze ...
... translating complex business requirements into robust enterprise AI https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities : - Define and architect end-to-end AI/ML and Generative AI solutions aligned with enterprise business requirements.- Design scalable architectures leveraging LLMs, RAG, Agentic AI, AI agents, prompt ...
... fine-tune machine learning models using large datasets and rigorously evaluate model performance using appropriate metrics.5. Infrastructure and Tools :- Design the AI infrastructure, choose suitable frameworks, libraries, and tools, and ensure scalability, reliability, and efficiency of AI systems.6. Prototyping and POCs :- ...
... into deployable AI systemsWhat we're looking for : - 415 years of experience across AI/ML engineering, GenAI, or solution architecture (seniority flexible Architect / Lead / Senior tracks all open)- Hands-on experience with Agentic AI, Generative AI, and LLMs- Strong Python fundamentals; familiarity with LangChain, LangGraph, ...
... https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks / Azure).In this role, you will architect, evaluate, and productionize multi - agent systems, advanced ...
... https://jobeax.com/link/Z4S3vFYKsGGU38on Overview :We are seeking an experienced Senior Data Scientist with end - to - end expertise in modern Generative AI, Large Language Models (LLMs), Agentic workflows, and cloud - native ML infrastructure (Databricks / Azure).In this role, you will architect, evaluate, and productionize multi - agent systems, advanced ...
... Should have 4-6 Years of experience in the warehouse industry Should be a https://jobeax.com/link/7MP5OIWqBjLWowIE B.E + MBA Should have understanding of WMS system functionalities and details of the software operations Our AI-driven GreyMatterTM Fulfilment Operating System and RangerTM robot series are a combined solution ...
... 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 (end-to-end ...