AI Architect
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Reach the decision-maker — $5About the role
**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.
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