AI Architect

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. **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.