Builds machinelearning based products/solutions which provide descriptive, diagnostic, predictive, or prescriptive models based on data
Uses or develops machinelearning algorithms such as supervised and unsupervised learning, deep learning, reinforcement learning, Bayesian analysis, and/or others to solve applied problems in various disciplines such as data analytics, computer vision, and robotics
Interacts with users to define requirements for breakthrough product/solutions
Utilizes current programming methodologies to translate machine learning models and dataprocessing methods into software
Completes programming, testing, debugging, documentation and/or deployment of libraries.

8+ years hands-on experience on AI/ML algorithm development
3+ years of hands-on experience in NLP, LLM-based systems, or AI agent development
Deep expertise in GenAI algorithms, solution architecture, and performance tuning
Proven experience building custom AI tools, agents, or apps for real-world use cases
Strong Python skills; experience with frameworks such as LangChain, LlamaIndex, AutoGen, HuggingFace, and other APIs
Experience with RAG pipelines, vector databases (e.g., FAISS, Chroma), and embedding techniques
Experience optimizing GenAI workloads for edge devices using xPU accelerators
Excellent problem-solving skills with a results-driven, customer-focused mindset
Experience with local LLMs (e.g., Mistral, Llama) or fine-tuning open-source models
Experience in customer/partner support for GenAI workflow design and deployment
Familiarity with client AI tools, cross-platform agents, or plugin ecosystems
Experience in UX/UI or prompt engineering to improve human-AI interaction.

Senior GenAI Software Architect

Key skills