Role at a glance
- Job function
-
Software Engineering & IT Software Engineering
- Salary
- Not Disclosed
- Location
- Hyderabad
- Employment
- Full-time
- Experience
- Minimum 12 year(s) of experience is required
- Education
- Educational Qualification : 15 years full time education
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Role Summary
The posting describes developing and configuring software systems and designing, building, and deploying AI agents and multi-agent systems for enterprise workflows. The work includes scalable cloud-based solutions, agent integration with enterprise systems, and software design and delivery.
What You'll Do
- Design and develop highly available, reliable, scalable SaaS cloud solutions and AI agents.
- Develop and fine-tune machine learning models and LLM-powered agents, and integrate agents with enterprise systems, APIs, and...
- Implement agent reliability features such as fallback logic, memory layers, and human-in-the-loop escalation; contribute to agent...
- Create technical designs and modular, testable code; participate in domain-driven design and code reviews.
- Develop and maintain CI/CD pipelines, and participate in incident management and on-call procedures.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Must-have skill: Oracle Applications Development. The posting states a minimum of 12 years of experience and 15 years of full-time education. The technical experience section lists O2C and P2P application flows; AP, AR, OM, Procurement, Inventory and SCM; Trading Community Architecture; users, roles, privileges, page customization and Fusion Tax; REST and SOAP, Oracle Integration Cloud, Oracle SOA, BI Publisher, OTBI, Oracle Interfaces and FBDI for Receivables and Payables. It also lists Oracle AI Agent Studio; Oracle Fusion agent integration and governance; agent design, tool integration, RAG, vector search, multi-agent orchestration, prompt engineering, guardrails, evaluation and observability; CrewAI, LangGraph, Azure AI Foundry, A2A and ACP; GitHub Copilot, Rovochat and Microsoft Copilot; Java, Spring Boot, microservices, Spring Security, Apache Pulsar, JWT, OAuth, Auth0, OCI, Hibernate, Spring JPA, Oracle and other listed databases, Docker, GitHub Actions, Helm, Argo CD, Datadog, HazelCast, JUnit, Mockito, Sonar, Log4j and Logback.
Preferred
- Oracle Financials
- Oracle Procurement Cloud
- Oracle Cloud Order Management
- AWS Services above basic knowledge (a plus)
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity.
Must have skills : Oracle Applications Development
Good to have skills : Oracle Financials, Oracle Procurement Cloud, Oracle Cloud Order Management
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary
This position is for a forward-thinking AI Engineer to join our growing team focused on building intelligent, autonomous agents and MAS (Multi-Agent System) that power next-generation enterprise workflows. You'll work at the intersection of machine learning, generative AI, and agentic orchestration frameworks to design scalable, resilient systems that think, decide, and act. This position will also spearhead technical innovation, guide and mentor development teams, and drive product ownership, solution design, and software delivery in a multi-cloud environment.
Roles and responsibilities:
1. Design and develop highly available, reliable, and scalable modern SaaS cloud-based solutions. 2. Design, build, and deploy AI agents using frameworks like Oracle AI Studio, CrewAI, LangGraph, Azure AI Foundry, CoPilot Studio etc Job Summary This position is for a forward-thinking AI Engineer to join our growing team focused on building intelligent, autonomous agents and MAS (Multi-Agent System) that power next-generation enterprise workflows. You'll work at the intersection of machine learning, generative AI, and agentic orchestration frameworks to design scalable, resilient systems that think, decide, and act. This position will also spearhead technical innovation, guide and mentor development teams, and drive product ownership, solution design, and software delivery in a multi-cloud environment. 3. Develop and fine-tune machine learning models and LLM-powered agents for real-world tasks 4. Integrate agents with enterprise systems, APIs, and orchestration layers 5. Use GitHub Copilot across SDLC phases—from prototyping to testing and documentation 6. Collaborate with product and business teams to translate use cases into agent roles and behaviors 7. Implement fallback logic, memory layers, and human-in-the-loop escalation for agent reliability 8. Contribute to internal tooling, agent registries, and governance models 9. Stay current with emerging frameworks like Rovochat, MS Copilot, and multi-agent mesh architectures 10. Lead and participate in domain-driven software design and code review sessions, using modern modeling tools to create customer-focused architecture. 11. Create technical design specifications based on functional requirements and analysis documents, and provide constructive feedback during reviews. 12. Write modular, scalable, testable, and high-performance code using software engineering best practices and industry-standard security tools. 13. Plan, prioritize, and execute complex, high-priority tasks independently and as part of an Agile team. 14. Participate in and lead incident management and on-call procedures to ensure timely resolution and effective communication. 15. Evaluate and adopt innovative technologies and practices to enhance SDLC efficiency and product quality. 16. Develop and maintain CI/CD pipelines using GitHub Actions and support continuous improvement of build and delivery systems. Supervisory responsibilities: 17. Team player who's willing to play multiple hats like Product Owner, Scrum Master, in addition to the core role
Supervisory responsibilities:
1. Participate and lead a demonstration of product features to program stakeholders
2. Influence organizational peers and mentor senior team members
3. Partner with PM/TPM/EM on Program level feature prioritization PI over
4. Participate and lead team practices in Incident Management and On-Call procedures
Technical experience & Professional attributes:
Knowledge of end-to end application flow for O2C and P2P Thorough understanding of AP, AR, OM, Procurement, and Inventory modules. Understanding of Trading Community Architecture (TCA) Knowledge of SCM modules and it's association with O2C and P2P flows Understanding of Users, Roles, Privileges Knowledge of page customization Basic understanding of Fusion Tax Knowledge of REST & SOAP Web Services, Oracle Integration Cloud, Oracle SOA Knowledge of Oracle Business Intelligence Publisher and Oracle Transactional Business Intelligence Knowledge of Oracle Interfaces and use of FBDI related to Receivables and Payables
1. Oracle AI Agent Studio- Design-time environment knowledge within Oracle Fusion Applications. Experience creating, configuring, validating, and deploying AI agents tailored to business workflows.
2. Enterprise Integration & Governance - Experience integrating agents with Oracle Fusion Applications, Familiarity with audit trails, approval workflows, and least privilege access, Understanding of compliance and data governance in enterprise AI
3. Agent Design & Configuration - Experience designing persona-based agents, Ability to define agent roles, goals, and backstories, Familiarity with task decomposition and agent team structures 4. Tool Integration & RAG Proficiency in integrating tools like document retrieval, calculators, email, and business object APIs, Understanding of retrieval-augmented generation (RAG) and vector search, Experience with embedding models and semantic search
5. Multi-Agent Orchestration - Knowledge of supervisor agents, utility agents, and user-proxy agents, Ability to design multi agent flows with coordination and delegation, Familiarity with orchestration patterns (sequential, hierarchical, consensual)
6. Prompt Engineering & Guardrails - Skilled in writing natural language instructions for agent behavior, Experience setting guardrails, constraints, and fallback logic, Understanding of LLM prompt tuning and response conditioning
7. Evaluation & Optimization - Ability to define and track agent performance metrics: reasoning quality, latency, memory usage, collaboration success, Experience with agent validation, logging, and observability tools
Standard AI Skills:
Agentic Frameworks & Orchestration: Hands-on experience with CrewAI, LangGraph, and Azure AI Foundry for building and deploying autonomous agents. Also knowing multi-agent orchestration patterns, including reflexive loops and communication protocols (A2A, ACP etc)
Developer Productivity & Integrations :Skilled in using GitHub Copilot across SDLC phases for code generation, refactoring, and testing. Familiarity with Rovochat and Microsoft Copilot integrations to enhance agent workflows and developer experience.
ERP Development Stack
Java & Spring Boot Microservices : Proficient in Java with hands-on experience in Spring Boot, Microservices architecture, Spring Security, and Apache Pulsar for building scalable backend systems.
API Integration & Protocols :Strong understanding of REST and SOAP APIs, authentication protocols (JWT, OAuth, Auth0), and secure service communication across distributed environments.
Cloud Expertise: Skilled in deploying and managing applications on OCI. Also, having AWS Services above basic knowledge is a Plus
Database & ORM : Expertise in Hibernate and Spring JPA, with experience working across Oracle, RDS-SQL Server, RDS-Postgres, Aurora, and Snowflake for transactional and
analytical workloads
DevOps & CI/CD : Experienced in containerization (Docker), CI/CD pipelines (GitHub Actions), and deployment automation using Helm charts, Argo CD, and monitoring tools like Datadog.
JVM Caching & Performance : Knowledge of JVM-level and distributed caching mechanisms, particularly using HazelCast, with experience in performance tuning and instrumentation.
Testing, Logging & Observability : Proficient in JUnit, Mockito, Sonar for code quality, and logging frameworks like Log4j and Logback. Familiar with observability using Datadog.
Additional Information:
You will be working with a Trusted Tax Technology Leader, committed to delivering reliable and innovative solutions15 years full time education
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.