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Tata Consultancy Services

Gen AI Architect

Tata Consultancy Services, Sunnyvale, California, United States, 94087

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Responsibilities

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.

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 AI/ML.

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.

Experiment and Develop Candidate will drive the end to end machine learning project lifecycle using best practices and well managed software delivery.

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.

Salary Range: $80,000 - $145,000 per year

Qualifications

Bachelor of Technology

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Design, Art/Creative, and Information Technology

Industries

IT Services and IT Consulting

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