AI Architect

Oracle; Bengaluru Urban; On-site; INR 4,200,000 - 7,200,000; Full time

Job summary

Oracle is seeking a seasoned AI Architect to lead end-to-end design and enterprise-scale deployment of cutting-edge GenAI and AI agent solutions. You will influence architecture decisions across cloud-native environments and collaborate with executives to align AI initiatives with business strategy.

You will mentor teams, drive production deployment, and ensure governance, DevOps, and security best practices while advancing the AI practice across Oracle's global operations.

Qualifications

• 12–15 years total experience with 5+ years in AI/ML roles.
• Proven track record delivering end-to-end AI/ML solutions.
• Expertise in GenAI, LLMs, NLP and AI agents.
• Proficient in Python and ML/NLP frameworks.
• Experience in multi-cloud deployments and MLOps.

Responsibilities

• Architect and deploy production-grade GenAI/LLM solutions at scale.
• Lead cross-functional teams across cloud-native AI initiatives.
• Design scalable OCI-based and multi-cloud AI architectures.
• Mentor teams and establish delivery best practices.
• Collaborate with executives to align AI roadmap and data strategy.
• Drive GTM demos and proposals.
• Stay current with GenAI advancements.

Skills

Leadership & architecture

Stakeholder management

Strong communication

Mentorship

Strategic thinking

Tools

Python

HuggingFace

LangChain

PyTorch

TensorFlow

OCI

MLOps

CI/CD

Vector databases

Job description

We are looking for a seasoned AI Architect to lead the end-to-end design and enterprise-scale deployment of cutting-edge AI solutions, with a deep focus on Generative AI (GenAI), Large Language Models (LLMs), and AI Agent frameworks.

As a strategic technical leader, you will drive AI architecture decisions across cloud-native environments, build intelligent automation pipelines, and collaborate with both technical and executive teams to align AI initiatives with business strategy. You will be expected to bring a strong mix of hands‑on delivery expertise and architectural leadership.

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.

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.