AI/Gen AI Architect
Listed on 2026-07-01
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
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
Role Description s:
Areas of Focus Slackbots| Anomaly Detection| Event Correlation| AIOPS for Infra| Smart Answers| Analytics and Predictions
Roles Responsibilities:
• Experiment and Develop
• Drive the end to end machine learning project lifecycle using best practices and well managed software delivery
• Lead the design and development of virtual assistants using Conversational AI platforms
• Leads efforts to foster innovative ideas for developing high impact solutions
• Helps in design and develop advanced analytic solutions across functional areas as per requirement opportunities
• 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 prediction
• Understand the requirements and design the conversational flows
• Develop Intent and Entities for chatbot
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