Senior Principal Consultant Oracle Cloud Infrastructure (OCI) AI Architect

Hyderabad - India

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Ready to build the future with AI
At Genpact we dont just keep up with technology we set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to agentic AI our breakthrough solutions tackle companies most complex challenges.
If you thrive in a fast-moving innovative-driven environment love building and deploying cutting-edge AI solutions and want to push the boundaries of whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow to know us onLinkedInXYouTube andFacebook.
Inviting Applications for the role of Senior Principal Consultant Oracle Cloud Infrastructure (OCI) AI Architect
We are looking for an experienced OCI AI Architect to lead the design architecture and deployment of Generative AI Agentic AI and traditional AI/ML solutions on Oracle Cloud Infrastructure.
This role requires a deep understanding of OCI Architecture Large Language Models Agentic and AI/ML frameworks data engineering and OCI-native services
The ideal candidate will drive Agentic AI transformation initiatives architect scalable AI solutions over OCI and enable intelligent automation that can seamlessly integrate within the operational workflows of Oracle ERP and finance systems.
Key Responsibilities:
Design Architect and deploy enterprise grade AI/ML and Gen AI solutions using AI Capabilities over OCI platform.
Architect and implement agentic AI systems using frameworks such as LangGraph CrewAI AutoGen including multi-agent orchestration and workflow automation.
Design & implement RAG pipelines leveraging embeddings vector search and enterprise knowledge bases using Oracle Autonomous Database (including 23ai vector capabilities).
Build and lead development of ML pipelines and LLM fine-tuning pipelines including parameter-efficient tuning (PEFT) and domain adaptation.
Architect end-to-end AI solution lifecycle including data ingestion feature engineering model training evaluation deployment monitoring & feedback loops.
Define and implement AI governance responsible AI and security guardrails ensuring compliance with enterprise standards.
Design secure AI deployments using OCI networking IAM private endpoints and data security best practices.
Provide technical guidance and best practices around MLOps model versioning deployment automation and AI governance.
Evaluate and adopt emerging AI ecosystem standards (e.g. MCP) to enable scalable and interoperable agentic architectures.
Evaluating and monitoring LLM outputs including hallucination detection response quality scoring and continuous improvement mechanisms.
Architect cost-optimized AI solutions by selecting appropriate models optimizing token usage and designing efficient inference strategies.
Design memory strategies for agentic systems including short-term context long-term memory and knowledge persistence.
Design human-in-the-loop workflows for validation exception handling and continuous learning in AI systems.
Understanding of event-driven and microservices-based architectures for scalable AI systems.
Define testing strategies for AI systems including prompt testing scenario validation and regression testing.
Support customer presentations & solution demos as needed with architectural insights and technical credibility.
Collaborate with business stakeholders SMEs and application teams to identify AI opportunities and deliver AI-first cloud-native solutions.

Qualifications we seek in you!

Minimum Qualifications:

Extensive experience in Oracle Cloud and AI with strong proven and hands-on experience in designing architecting and deploying AI/ML & Gen AI Solution over OCI AI stack.
Strong Python programming skills and experience with data processing (JSON APIs etc.)
Strong hands-on experience with LLMs (e.g. Cohere GPT etc.) & advanced prompt engineering techniques (e.g. Zero-shot Few-shot Chain-of-Thought and ReAct).
Proven experience designing RAG architecture embeddings-based retrieval and vector search systems
Strong understanding Fine-tuning and parameter-efficient tuning.
Strong expertise in Agentic AI frameworks (CrewAI AutoGen LangGraph) and multi-agent orchestration patterns
Working experience with at least 2 OCI Pre-Built AI Services: Vision Speech Language Anomaly Detection Document Understanding etc.
Strong understanding of AI/ML lifecycle and architecture principles: data lifecycle feature stores model registries inference serving feedback loops
Must have working experience with semantic matching fuzzy logic and similarity scoring algorithms (e.g. cosine similarity Jaccard Levenshtein distance)
Strong knowledge of AI governance security guardrails and responsible AI.
Must have knowledge of data ingestion feature engineering model training evaluation deployment and monitoring.
Proficient in AI/ML/Gen AI frameworks (e.g. TensorFlow PyTorch Hugging Face LangChain) & Vector DBs (e.g. Pinecone Milvus).
Proficient in Agentic AI Frameworks (e.g. CrewAI AutoGen and multi-agent orchestration workflow)
Working knowledge with OCI Data Science OCI Gen AI Service OCI Gen AI Agents Oracle ATP Data Flow (Apache Spark) OCI Functions API Gateway and Monitoring
Must have experience working with Oracle ATP 23ai Databases and vector queries
Strong leadership communication and stakeholder management abilities.
Good to have experience in front end programming languages such as React Angular or Javascript etc.
Good to have: Experience with Finance domain solutions.
Good to Understand Oracle Cloud Deployment architecture networking Security and other essential components
Good to have: Understanding of emerging standards such as Model Context Protocol (MCP) for enabling interoperability between LLMs tools and enterprise systems.
Computer Science / MCA or equivalent degrees.

Preferred Qualifications:
Any degree or diploma in AI would be preferred.
Preferred: Two or more OCI certifications such as: OCI Generative AI Professional Oracle AI Vector Search Professional OCI Data Science Professional OCI Architect Professional.
Good to have AI Certifications from the following: Oracle AI Agent Studio for Fusion Applications Developers Oracle APEX Developer Professional.

Why join Genpact

Lead AI-first transformation Build and scale AI solutions that redefine industries
Make an impact Drive change for global enterprises and solve business challenges that matter
Accelerate your careerGain hands-on experience world-class training mentorship and AI certifications to advance your skills
Grow with the best Learn from top engineers data scientists and AI experts in a dynamic fast-moving workplace
Committed to ethical AI Work in an environment where governance transparency and security are at the core of everything we build
Thrive in a values-driven culture Our courage curiosity and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race color religion or belief sex age national origin citizenship status marital status military/veteran status genetic information sexual orientation gender identity physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity customer focus and innovation.

Furthermore please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit paying to apply or purchasing equipment or training.

Required Experience:

Staff IC