Role & responsibilities

Oracle PCMCS Consultant / AI Solution Architect

Role: Custom Software Engineer – AI Solution Architect / Application Lead

Primary Skill: Oracle Profitability and Cost Management (PCMCS)

Experience: 4+ Years

Location: Navi Mumbai

Job Summary

We are looking for an experienced Oracle Profitability and Cost Management (PCMCS) professional with expertise in Oracle Cloud Infrastructure (OCI) and AI-powered application development. The candidate will design, develop, and deploy AI-driven solutions that enhance Oracle PCMCS business processes using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Oracle data platforms.

Key Responsibilities

- Design and develop AI-powered solutions for Oracle PCMCS processes using OCI AI services.
- Build and deploy AI applications and agents integrated with Oracle data platforms.
- Implement end-to-end RAG pipelines, including data ingestion, chunking, embeddings, vector search, reranking, and grounded responses with citations.
- Establish AI evaluation frameworks, quality checks, regression testing, and security validation.
- Implement secure cloud deployments using OCI IAM, network isolation, secrets management, and audit logging.
- Monitor production applications for performance, reliability, latency, errors, and operational costs.
- Implement LLMOps practices, including prompt version control, automated evaluations, monitoring, and cost optimization.
- Ensure data governance, privacy, access control,



and compliance across AI solutions.
- Collaborate with business and technical teams to deliver scalable, reliable, production-ready AI applications.

Required Skills
- Robust hands-on experience in Oracle Profitability and Cost Management Cloud Service (PCMCS).
- Knowledge of Oracle EPM processes, profitability modelling, and cost allocation.
- Experience with Oracle Cloud Infrastructure (OCI) and OCI Generative AI services.
- Understanding of Generative AI, LLMs, RAG architectures, vector databases, and embeddings.
- Knowledge of Oracle data integration, data governance, and access control.
- Experience with AI application testing, deployment, monitoring, and optimization.
- Understanding of CI/CD, LLMOps, prompt engineering, and AI security best practices.

Good to Have
- Experience developing AI agents and enterprise AI applications.
- Knowledge of Python and API integrations.
- Experience with automated evaluation frameworks and production AI monitoring.
- Exposure to FinOps, audit logging, and enterprise data privacy.

Preferred Candidate Profile Candidates should have strong Oracle PCMCS domain knowledge and the ability to integrate AI capabilities into Oracle business processes. Experience taking AI proof-of-concepts into production with appropriate security, governance, reliability, and performance controls will be an advantage.

Mandatory Skill: Oracle Profitability and Cost Management (PCMCS).

📌 Oracle Profitability and Cost Management (Navi Mumbai)
🏢 Cerebra
📍 Navi Mumbai