AI Architect - GCP / Generative AI

Capgemini
Charlotte, NC, United States
30 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$82,909.0 - $129,563.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence BigQuery Continuous Integration Information Engineering Amazon DynamoDB Make (Software) Identity and Access Management Python (Programming Language) Machine Learning Natural Language Processing Search Technologies
+12 more
Shell Script Google Cloud Chatbots Retrieval-Augmented Generation Large Language Models Generative AI Agentic-AI Amazon Relational Database Service Apache Kafka Machine Learning Operations Terraform Microservices

Job description

BigQuery, Cloud SQL, Firestore, AWS RDS/Redshift/DynamoDB, messaging with Pub/Sub/Kafka (preferred) data engineering GCP Python (3.x), Shell scripting, Makefiles, CI/CD for verification llm, Communications is seeking an experienced AI Architect / GCP AI Architect to architect and deliver scalable AI, NLP, LLM, and Conversational AI solutions supporting high-volume customer interactions. This role requires a combination of hands-on AI/ML engineering and enterprise architecture experience, with a focus on Python, Generative AI, LLMs, RAG, Agentic AI, LLMOps/MLOps, and Google Cloud Platform (GCP)., * Architect and deliver scalable AI solutions supporting high-volume customer interactions.

  • Design and implement AI, NLP, LLM, and Conversational AI solutions.
  • Support the development of Generative AI, RAG, and Agentic AI solutions.
  • AI/ML engineering and enterprise architecture practices to solution delivery.
  • Utilize Python and GCP technologies in AI solution development.
  • Support LLMOps and MLOps practices.

Requirements

  • Experience as an AI Architect or GCP AI Architect.
  • Experience with AI/ML engineering and enterprise architecture.
  • Experience with AI, NLP, LLM, and Conversational AI solutions.
  • Experience with Generative AI, RAG, and Agentic AI.
  • Experience with Python.
  • Experience with Google Cloud Platform (GCP).
  • Experience with LLMOps and MLOps.

Required Technical Skills

  • Google Cloud Platform (GCP)
  • Python
  • NLP
  • Generative AI
  • LLMs
  • RAG
  • Agentic AI
  • Conversational AI
  • LLMOps
  • MLOps

Preferred Qualifications

  • BigQuery
  • GKE
  • Vector Search
  • Data Engineering
  • Microservices
  • APIs
  • IAM/Security
  • Terraform
  • CI/CD

Benefits & conditions

The pay range that the employer in good faith reasonably expects to pay for this position is $39.86/hour - $62.29/hour. Our offered benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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