AI Architect

Oracle; Pune District; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Oracle in Pune seeks a senior AI/ML Architect with 12–15 years total experience and 5+ years in Data Science or AI/ML roles. Lead end-to-end AI/ML design, production deployment, GenAI, LLMs, NLP, and AI agent development across multiple teams.

Expert in Python and ML/NLP frameworks (HuggingFace, LangChain, PyTorch, TensorFlow). Hands-on with OCI and multi-cloud architectures; strong MLOps, governance, CI/CD, and executive stakeholder engagement.

Qualifications

• 12–15 years of total experience, with 5+ years in data science or AI/ML engineering.
• 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 ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow.
• Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A systems, auto-documentation).
• Hands-on experience building AI systems on OCI, with multi-cloud architectures.
• Strong knowledge of ML algorithms, prompt engineering, vector DBs, and RAG pipelines.
• Familiar with MLOps, governance, and CI/CD for ML workflows.
• Strong communication and stakeholder management to bridge tech and exec teams.

Responsibilities

• Architect, build, and deploy production-grade AI/ML models with GenAI focus.
• Lead cross-functional teams delivering AI-enabled applications.
• Design scalable cloud-native AI solutions using OCI and multi-cloud platforms.
• Mentor teams on solution design, best practices, and delivery excellence.
• Guide enterprise AI architecture strategy aligning with data, DevOps, and security.
• Engage with C-suite to define AI priorities and roadmaps.
• Lead solution estimation, governance, and program oversight.
• Contribute to GTM with customer demos and proposal development.
• Stay updated on GenAI, LLM optimization, AI architectures, and integrations.
• Publish whitepapers and grow AI practice through coaching.

Skills

GenAI expertise

LLMs

NLP

Python

ML frameworks

MLOps

CI/CD

Stakeholder management

Cloud architectures

Cross-functional leadership

Tools

HuggingFace

LangChain

PyTorch

TensorFlow

OCI

Vector databases

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.

Job Description

Qualifications & Experience

• 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.

Responsibilities

Key Responsibilities

• Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
• Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
• Design scalable, cloud-native AI solutions using Oracle Cloud Infrastructure (OCI) and other multi-cloud platforms.
• Mentor teams on solution design, best practices, and delivery excellence for AI projects.
• Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
• Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
• Lead solution estimation, technical governance, and program oversight.
• Contribute to GTM initiatives, including customer-facing demos and proposal development.
• Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.
• Publish internal whitepapers, present at leadership forums, and help grow the AI practice through coaching and community engagement.

Qualifications

Career Level - N/A

About Us

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life‑saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

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Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.