
AI Architect
- Bangalore, Karnataka
- Permanent
- Full-time
- 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.
- 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
- 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
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
- Experience contributing to AI community initiatives, publishing whitepapers, or speaking at tech events.
- Familiarity with Oracle's broader AI ecosystem and enterprise integration patterns is a plus.
- 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.