Architect
Virtusa · Boston, MA · 1 wk ago
Art & CreativeFull-time
About the role
We are looking for a highly skilled and experienced Architect (ATC) to join our team. As an Architect 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.
Responsibilities
- Design and oversee construction of buildings and structures.
- Ensure projects are completed on time, within budget, and meet client specifications.
- Work closely with clients, contractors, and other team members.
- Collaborate with Gen AI leads and team members to address product backlog requirements.
- Build and maintain data pipelines and infrastructure to support AI solutions.
- Integrate popular LLMs (e.g., OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere) via API endpoints.
- Develop API-based scalable solutions and debug/troubleshoot software or design issues.
- Conduct experiments and analyze features/capabilities of newer LLM versions.
- Load structured and unstructured data from source systems to target data stores.
- Utilize cloud services (Azure, GCP, AWS) for storage, serverless logic, search, transcription, and chat.
- Apply data engineering and ETL expertise.
Requirements
- Minimum 8 years of work experience in architecture.
- Strong understanding of building codes and regulations.
- Excellent communication and project management skills.
- Creative problem solver with a passion for architecture.
- Extensive implementation experience in data analytics or a senior developer role in a modern technology stack.
- Proficiency in at least one major programming/scripting language used in Gen AI orchestration (Python, PySpark, Java).
- Ability to build API-based scalable solutions and debug/troubleshoot software or design issues.
- Hands‑on exposure to integrating popular LLMs via API endpoints.
- Thorough understanding of prompt engineering and exposure to LLM agents (LangChain) and vector databases (Pinecone, Chroma, FAISS).
- Ability to quickly experiment with and analyze newer LLM model versions.
- Basic data engineering skills to load structured and unstructured data.
Qualifications
- Master’s or Bachelor’s degree in Computer Science, Statistics, or Mathematics.
Skills
- Programming languages: Python, PySpark, Java.
- LLM integration: OpenAI GPT, PaLM 2, Dolly, Claude 2, Cohere.
- Prompt engineering and LLM agents (LangChain).
- Vector databases: Pinecone, Chroma, FAISS.
- Cloud platforms: Azure, GCP, AWS (storage, serverless, search, transcription, chat).
- Data engineering and ETL tools.
- API‑based scalable solution development.
- Debugging and troubleshooting software/design issues.
- Project management and communication.