AI Architect

Oracle

12 - 15 years

16 - 20 Lacs

bengaluru

Posted:3 hours ago| Platform:

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Skills Required

computer science publishing enterprise architecture artificial intelligence consulting machine learning agile application development oracle python

Work Mode

Work from Office

Job Type

Full Time

Job Description

12-15 years of total experience
, with
5+ years in Data Science or AI/ML Engineering
roles.
Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
Proven track record in
Generative AI, LLMs, NLP
, and
AI agent development
.
Expert in Python and familiar with modern ML/NLP frameworks:
HuggingFace, LangChain, PyTorch, TensorFlow
, etc.
Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A systems, auto-documentation, predictive insights).
Hands-on experience building, scaling, and optimizing AI systems on
OCI
, with knowledge of hybrid/multi-cloud architectures.
Strong knowledge of
machine learning algorithms
, prompt engineering, vector databases, and RAG pipelines.
Familiar with MLOps, model governance, and CI/CD for ML workflows.
Strong communication and stakeholder management skills able to bridge the gap between technical and executive teams.

Key Competencies:

Enterprise Architecture & AI Strategy
Application Development
(with focus on integrating AI into existing stacks)
Multi-cloud & Distributed Architecture
(OCI expertise is a must; experience with AWS, Azure, or GCP also valuable)
AI/ML Security & Compliance
DevOps & Agile AI Delivery
Integration & Data Engineering Strategy
Stakeholder Engagement including Executive Leadership
Program Oversight & Governance
Solution Design, Proposals, and Estimates

Additional Skills (At least 2):

Familiarity with designing & deploying scalable digital web based applications.
Experience in multi-touch attribution, market mix modelling, fraud analytics, customer journey analysis, churn modelling, customer segmentation, hypothesis testing, A/B testing, and recommendation engines.
Experience in designing, implementing, testing, and shipping production-quality AI/ML software
Experience with end-to-end pipelines using various Agentic frameworks

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