AI Architect in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Job Description :Key Responsibilities :1. Solution Design :- Collaborate with cross-functional teams to define AI use cases, gather requirements, and architect end-to-end AI solutions that align with business goals.2. Algorithm Development :- Develop and implement machine learning and deep learning algorithms, models, and frameworks to solve intricate problems and enhance system capabilities.3. Data Processing :- Oversee data collection, preprocessing, and feature engineering to ensure high-quality input for AI models.4. Model Training and Evaluation :- Train and 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 :- Build rapid prototypes and proof of concepts (POCs) to demonstrate the feasibility and potential of AI solutions.7. Technical Leadership :- Provide technical guidance, mentorship, and support to AI development teams, fostering a culture of innovation and collaboration.8. Research and Innovation :- Stay abreast of AI trends, emerging technologies, and best practices, and contribute to the company's AI strategy by proposing innovative solutions.9. Deployment and Integration :- Lead the deployment of AI solutions into production environments, integrating them with existing systems and workflows.10. Performance Optimization :- Continuously optimize AI solutions for speed, efficiency, and accuracy, and address any bottlenecks or issues.11. Documentation :- Create comprehensive technical documentation, including design specifications, architecture diagrams, and code https://jobeax.com/link/AOn5jzOePns4vyJN and Requirements :- Bachelor's or Master's Degree in 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 development experience- Strong programming skills in languages such as Python, Java, or C++, and proficiency in AI libraries and frameworks (TensorFlow, PyTorch, scikit-learn, etc.).- In-depth knowledge of machine learning techniques, algorithms, and model evaluation.- Familiarity with big data technologies, cloud platforms, and distributed computing.- Excellent problem-solving abilities and analytical thinking.- Effective communication skills to collaborate with cross-functional teams and present technical concepts to both technical and non-technical stakeholders.- Demonstrated ability to lead technical projects, drive innovation, and mentor junior team members. (ref:hirist.tech)
... help shape the future of https://jobeax.com/link/BnIbKM29T2nRMtlj Overview : We are hiring an AI Architect to lead the design and evolution of enterprise-grade AI platforms and GenAI systems at https://jobeax.com/link/qAYqbkLnnVqh7KFx is a high-impact, architecture-first role focused on solving real-world AI problems beyond ...
About the Role :We are looking for an AI / Generative AI Architect to lead the design, implementation, and governance of enterprise-scale AI and Generative AI solutions. The ideal candidate will have strong expertise in AI architecture, cloud-native platforms, LLM ecosystems, and Agentic AI, with the ability to translate ...
... 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, ...
... 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 that continuously prioritises ...
... environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We are looking for a AI Architect — a rare blend of AI engineering depth and pharma commercial domain expertise. In this role you will design, build, and govern a fleet of autonomous ...
... AI, Generative AI, LLMs and industry trends . Contribute to the development and adoption of AI/Generative AI best practices, standards and frameworks . Drive AI innovation and Agentic AI adoption within the organization. Ensure appropriate application of Responsible AI and AI ethics principles. Required Skills - 8–10 years ...
We are looking for an experienced AI Architect to design and deliver scalable, secure, and enterprise-grade AI solutions aligned with business requirements. The role will focus on AI/ML architecture, Generative AI, LLMs, RAG, cloud-native applications, and end-to-end solution delivery while ensuring responsible AI, security, ...
... ideal candidate will bridge the gap between applied data science and rigorous software engineering, focusing on building scalable, secure, and cost-efficient AI-powered https://jobeax.com/link/Hg98pRiyAXIabPoY Responsibilities : - GenAI Application Architecture : Architect and deploy production-grade LLM applications using ...
... be responsible for defining AI architecture, designing scalable and secure AI platforms, and 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 ...
... data and AI solutions aligned to Darktrace's business strategy, target architecture and technology roadmap.- Define reference architectures, solution designs, architecture standards and reusable patterns across Microsoft data and AI platforms.- Lead the design and governance of trusted, reusable and AI-ready enterprise data ...
... Job Description: AI Architect – Infrastructure & Cloud Title : AI Architect Level : Senior Manager Experience : 16-18 years Role Summary We are looking for an AI Architect to sit at the intersection of Infrastructure and Artificial Intelligence — someone who can design, build, and operationalize AI/LLM/Agentic solutions ...
Role Summary :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. ...
Role : Data & AI Solution Architect - Data Modelling & Conversational AILocation : Remote (Bangalore).Experience : 8+ https://jobeax.com/link/NvD7kaZTflbs2EcH The Role : We are seeking experienced Data & AI Solution Architects to support the design of enterprise data models and conversational AI architecture for the OneData ...
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 ...
... stakeholders, product teams, and engineering squads to translate complex business requirements into robust technical solutions that enable advanced analytics, AI/ML, and data-driven decision-making across insurance focused business domains. Key Responsibilities: Lead the end-to-end architecture and solution design for enterprise ...
... 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 ...
... consumption layers.- Define reference architectures using Azure Data Lake, Azure Synapse Analytics, Microsoft Fabric, Azure Databricks, and Azure SQL/Cosmos DB.- Architect AI/ML and Generative AI solutions using Azure Machine Learning, Azure AI Foundry, Azure OpenAI Service, and Cognitive Services.- Design data governance, security, ...