Architect (ATC)

Virtusa•Tampa, FL

6d•Onsite

About The Position

We are looking for a highly skilled and experienced Senior Lead /GEN AI Architect to join our team. As an Lead Software Engineer, you will be responsible for designing and overseeing the construction of buildings and structures. Your main goal will be to ensure that all projects are completed on time, within budget, and meet the client's specifications. This is a full-time position, and you will be required to work from the client's office. The ideal candidate will have at least 6 years of work experience in the field of architecture and a strong understanding of building codes and regulations. You should also have excellent communication and project management skills, as you will be working closely with clients, contractors, and other team members. If you are a creative problem solver with a passion for architecture, we would love to hear from you. Extensive implementation experience in the data analytics space or a senior developer role in one of the modern technology stack. Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java. Ability to build API based scalable solutions and debug/troubleshoot software or design issues. Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints. Thorough understanding of prompt engineering implementation, exposure to LLM agents like LangChain, vector databases (Pinecone or Chroma or FAISS). Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into the market. Basic data engineering skills to load structured/unstructured data from source systems to target data stores. Work closely with Gen AI leads and other team members. Strong in Requirement tracking (JIRA, Citi systems). Strong in stakeholder management. Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints. Thorough understanding of prompt engineering implementation, exposure to LLM agents like LangChain, vector databases (Pinecone or Chroma or FAISS). Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into the market. Basic data engineering skills to load structured/unstructured data from source systems to target data stores. Work closely with Gen AI leads.

Requirements

At least 6 years of work experience in the field of architecture.
Strong understanding of building codes and regulations.
Excellent communication and project management skills.
Extensive implementation experience in the data analytics space or a senior developer role in a modern technology stack.
Excellent programming skills and proficiency in at least one of the major programming scripting languages used in Gen AI orchestration such as Python or PySpark or Java.
Ability to build API based scalable solutions.
Ability to debug/troubleshoot software or design issues.
Hands-on exposure to integrating at least one of the popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints.
Thorough understanding of prompt engineering implementation.
Exposure to LLM agents like LangChain.
Exposure to vector databases (Pinecone or Chroma or FAISS).
Ability to quickly conduct experiments and analyze the features and capabilities of newer versions of the LLM models as they come into the market.
Basic data engineering skills to load structured/unstructured data from source systems to target data stores.
Strong in Requirement tracking (JIRA, Citi systems).
Strong in stakeholder management.

Responsibilities

Designing and overseeing the construction of buildings and structures.
Ensuring all projects are completed on time, within budget, and meet client specifications.
Building API based scalable solutions.
Debugging and troubleshooting software or design issues.
Integrating popular LLMs (OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere, etc.) using API endpoints.
Implementing prompt engineering.
Working with LLM agents like LangChain.
Utilizing vector databases (Pinecone or Chroma or FAISS).
Conducting experiments and analyzing features and capabilities of newer LLM models.
Loading structured/unstructured data from source systems to target data stores.
Working closely with Gen AI leads and other team members.
Requirement tracking (JIRA, Citi systems).
Stakeholder management.