Work directly with key customers and accompany them on their Gen AI journey understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers.
Design and implement agentic workflows using diverse frameworks, incorporating prompt engineering to optimize performance.
You will dive deep into model structure to optimize model performance and scalability.
You will build state of art solutions with brand new technologies in this fast-evolving area.
You will configure large scale OpenSearch clusters, setting up data ingestion pipelines to get the data into the OpenSearch.
You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned.
Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers.
Be an enthusiastic, self-motivated, and a great collaborator.
Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc.

Qualifications

Bachelor s or Master s degree in Computer Science or related technical field, with 10+ years of experience in AI, ML, or data-driven solution development.
Proven track record designing, building, and deploying scalable AI/ML solutions in production environments.
Deep expertise in Large Language Models (LLMs), Generative AI, Agentic solutions, and advanced ML techniques (fine-tuning, prompt engineering, model optimization).
Strong experience with OpenSearch, vector databases, data ingestion pipelines, and large-scale search optimization.
Skilled in diagnosing, troubleshooting, and resolving issues in AI model training and serving.
Hands-on experience with MCP, NLP, NLU, RAG architectures, Agents, and modern AI frameworks (e.g., LangChain, LangGraph LlamaIndex).
Proficient in Python and shell scripting, with familiarity in deep learning frameworks (PyTorch, TensorFlow, JAX, or Transformers).
Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc.
Excellent communication skills for translating complex technical concepts into clear proposals, designs, and presentations.
Collaborative mindset with experience working closely with product managers, engineers, and customers.
Ability to mentor and guide junior data scientists or ML engineers.
Experience acting as a technical evangelist, presenting at conferences, customer briefings, or industry events.

Principal Member of Technical Staff/Solutions Architect