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Engaged Employer

Oracle

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3.7

based on 5.2k Reviews

Video summary

1 Oracle Software Architect Job

Software Architect

Oracle India Pvt. Ltd.

3.7

based on 5.2k Reviews

8-10 years

Bangalore / Bengaluru

1 vacancy

Software Architect

Oracle

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Customer Service Oracle Clinical Data Management CCTV Monitoring Data Structures and Algorithms

+ 3 more

Job Description

Oracle Cloud Infrastructure (OCI) is a strategic growth area for Oracle. It is a comprehensive cloud service offering in the enterprise software industry, spanning Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS). OCI is developing powerful, generative AI services for organizations worldwide. Oracle provides native generative AI services to help organizations automate end-to-end business processes, improve decision-making, and enhance customer experiences, in collaboration with Cohere, a leading AI platform for enterprise. Built on Oracle Cloud Infrastructure (OCI) and demonstrating Oracle s unique Supercluster capabilities, Oracle generative AI services spans applications to infrastructure and aim to provide the highest levels of security, performance, and value in the industry.

What OCI Generative AI Cloud Services are:

OCI Generative AI is a managed service o seamlessly integrate LLMs into a wide range of enterprise use cases. The OCI Generative AI service supports Meta s Llama 2 and Cohere s models, together with a multilingual embeddings capability for over 100 languages. The service makes it easier to work with LLMs with functionality such as LangChain integration, endpoint management, and content moderation.

OCI Generative AI includes an improved GPU cluster management experience with multi-endpoint support to host clusters, the ability to handle more model requests by scaling clusters, and endpoint analytics. The OCI Generative AI service also offers flexible fine-tuning available for Cohere s Command 52/6B models. As a result, enterprises can continue to feel confident that their AI precisely fits their specific business context.

With the OCI Generative AI service, customers can tackle a variety of use cases including:

Customer operations: Automating customer service based on a customer s product suite, experience, and language

Marketing: Mass personalization of search, outreach, and customer nurture based on buyer profile and purchase history.

Sales: Creating virtual sales representatives that guide prospects through offerings during a business transaction

Risk and legal: Accelerating contract writing and drafting based on existing best practices, with multilingual support.

Strategy and finance: At scale monitoring of competitors and updates from customers, across public and private sources.

What is OCI Generative Agent Platform

OCI Generative AI Agents is a fully managed service that combines the power of large language models (LLMs) with an intelligent retrieval system aimed at creating contextually relevant answers by searching your knowledge base.

OCI Generative AI Agents supports several ways to on-board your data where you and your customers can interact with your data using a chat interface or API.

Key Features

Supports several data on-boarding methods and interaction channels (chat interface or API)
Creates contextually relevant answers by searching your knowledge base
Provides source attribution for every answer
Offers hybrid search capabilities (lexical and semantic)
Includes content moderation options for input and output
Supports multi-turn conversations, where users can ask follow-up questions and receive answers that consider the context of previous questions and answers
Can interpret data from two-axis charts and reference tables in a PDF, without needing explicit descriptions of the visual elements
All the hyperlinks present in the PDF documents are extracted and displayed as hyperlinks in the chat response.

Your Opportunity:

As we innovate to provide a complete, end-to-end platform for generative AI, with advanced security, best-in-class data management, and a comprehensive portfolio of cloud applications able to address any business problem, we will be extremely happy to have you join us and share the very future of our Generative AI platform by building a cloud native Generative AI service.

Our vision is to provide a world-class Generative AI experience on Oracle Cloud. Aggressive as it might sound, our growth journey is fuelled by highly energetic, technology savvy engineers like YOU who are looking to grow with us to meet the demands of building a powerful next-generation platform. Are you ready to do something big

Qualifications

Bachelor s or master s degree or equivalent experience (preferred) in Computer Science, Computer Engineering, or related technical field.
15+ years overall experience in software development, with at least 4 years architecture and designing distributed systems in cloud
Practical experience in Architecture, design, implementation and production deployment of distributed systems using microservices architecture and API s using common frameworks like Spring Boot (Java), Vertex.io etc
Working knowledge of current techniques and approaches in machine learning and statistical or mathematical models both classical and LLMs
Practical experience working in a cloud environment: Oracle Cloud (OCI), AWS, GCP, Azure
Strong drive to learn and master new technologies and techniques
Deep understanding of system architecture, data structures, algorithms, and excellent problem-solving skills.
Experience with cloud-native technologies, such as Kubernetes, Docker, and serverless computing.
Strong technical leadership and communication skills, with the ability to collaborate with cross-functional teams and stakeholders.

Additional Preferred Qualifications

Knowledge and experience with Large Language models, GPU clusters, vLLM, ONNX, Agentic workflows (LangChain / LangGraph), Multi Agent Systems and related concepts
ML Engineering experience
Multi Cloud hosting

Career Level - IC5

As an Architect of the software engineering division, you will participate in all activities of development and operations of OCI Generative AI Service / Agent Platform.

Technical Leadership: Provide thought leadership and technical guidance to development and operations teams on best practices, cloud infrastructure, Service Architecture of Generative AI services / Agent platform and enterprise specific services around Generative AI with best-in-class security for customers
Performance Optimization: Identify performance bottlenecks and apply necessary optimizations to enhance Gen AI Service / Agent platform performance and scalability.
Security Management: Ensure the security of cloud solutions by designing and implementing secure architectures, performing risk assessments, and adhering to best practices for identity management and data protection.
Cost Optimization: Monitor and optimize cloud resource like GPUs, Caches, Vector stores usage to ensure cost efficiency while maintaining high performance and scalability. Strategize Deploying and scale Gen AI model on K8s cluster with optimal resources and maximum throughput.
Compliance and Governance: Ensure compliance with industry standards and organizational policies regarding data privacy, security, and cloud governance.
Operation Excellence: Troubleshoot, mitigate and resolve performance and design issues and incidents in production carve out runbooks, contribute to runbooks and present in operations review forums, Provide on-call manager OCI Generative AI Services to customers to manage service outage and swiftness to recovery
Hiring and Enablement : Participate in talent hiring, bring in the best engineering mindset and enable them for success
Disaster Recovery and High Availability: Design and implement high availability, backup, and disaster recovery strategies for cloud-based systems and applications.
Collaboration Documentation: Work closely with other architects, engineers, and stakeholders to develop and maintain system designs, architecture diagrams, and documentation. Work with applied scientists and address external and internal shareholder s product challenges
Innovation: Stay current with the latest advancements in cloud technologies, Generative AI, Agentic Platform, Multi Agent System and Tooling and evaluate their applicability to improve infrastructure solutions and increase customer adoption