AI/Gen AI Architect

AI/Gen AI Architect
Location: Sunnyvale, CA (3x/ week onsite)
Duration: 6 months
• 8-15 years of experience in implementing AI/ML models in enterprise systems
• In-depth understanding of AI/ML concepts, including supervised and unsupervised learning, deep learning, anomaly detection, and large language models(Gemini, GPT etc).
Experience leading and working with Agentic AI Frameworks(Langchain, Langraph, CrewAI)
• Proficiency in Python and experience with relevant libraries and frameworks (Pandas, Numpy, Tensorflow etc.)
• At least 5 years of relevant experience in design, development, and deployment of conversational bots
• Experience working with Observability tools like Prometheus, Splunk, Datadog & Grafana.
• Experience in NLP (Natural Language Processing) & NLU (Natural Language Understanding), ML (Machine Learning), Conversational AI
• Integrate bot systems seamlessly with backend systems, databases, and APIs to facilitate smooth data exchange and interactions.
• Experience with web services integration
• Excellent troubleshooting and analytical skills in a complex, distributed environment.
• Excellent communication, presentation and collaboration skills.
• Self-starter with ability to work independently

Role Descriptions: Areas of Focus Slackbots| Anomaly Detection| Event Correlation| AIOPS for Infra| Smart Answers| Analytics and Predictions

Roles ResponsibilitiesExperiment and Develop You will drive the end to end machine learning project lifecycle using best practices and well managed software deliveryLead the design and development of virtual assistants using Conversational AI platformsLeads efforts to foster innovative ideas for developing high impact solutions.Helps in design and develop advanced analytic solutions across functional areas as per requirementopportunities.Participate in discussions with business stakeholders to identify business challenges that can be solved with AIML.Use LLM technologies for projects and provide technical assistance for others regarding LLM and GenAI usage.Support and advise teams on best practices regarding LLM usage and Mainly in the Area of AIOps - Clustering| classification| Anomaly detection| capacity predictionUnderstand the requirements and design the conversational flows.Develop Intent and Entities for chatbot.Preferred Profile8-15 years of experience in implementing AIML models in enterprise systemsIn-depth understanding of AIML concepts| including supervised and unsupervised learning| deep learning| anomaly detection| and large language models(Gemini| GPT etc).Experience leading and working with Agentic AI Frameworks(Langchain| Langraph| CrewAI)Proficiency in Python and experience with relevant libraries and frameworks (Pandas| Numpy| Tensorflow etc.)At least 5 years of relevant experience in design| development| and deployment of conversational botsExperience working with Observability tools like Prometheus| Splunk| Datadog Grafana.Experience in NLP (Natural Language Processing) NLU (Natural Language Understanding)| ML (Machine Learning)| Conversational AIIntegrate bot systems seamlessly with backend systems| databases| and APIs to facilitate smooth data exchange and interactions.Experience with web services integrationExcellent troubleshooting and analytical skills in a complex| distributed environment.Excellent communication| presentation and collaboration skills. Self-starter with ability to work independently