AI Architect

Washington, DC, US • Posted 6 hours ago • Updated 6 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
13 Weeks
On-site
Depends on Experience
Company Branding Image
Fitment

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Job Details

Skills

  • AI/ML systems design
  • production deployment
  • cost management
  • token optimization
  • GPU allocation
  • communication
  • SQL
  • data warehousing
  • Snowflake
  • BigQuery
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Generative AI
  • MLOps
  • CI/CD
  • data ingestion
  • model training/fine-tuning
  • deployment
  • monitoring
  • vector databases
  • RAG workflows
  • AI governance
  • GDPR
  • CCPA

Summary

Job Title: Senior AI Architect

Location: Onsite (4 Days/Week)

  • 8–10+ years of experience in Software Engineering or Data Architecture.

  • Minimum 4+ years of hands-on experience designing and deploying AI/ML systems in production environments.

Required Qualifications

Enterprise AI Strategy

  • Lead the transition of AI initiatives from Proof of Concepts (PoCs) to scalable, enterprise-wide production systems.

AI Technology Selection

  • Evaluate and recommend AI technologies, including Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI, based on business requirements, cost, latency, and data privacy considerations.

AI Architecture

  • Design end-to-end AI solutions, including data ingestion, model training/fine-tuning, deployment, monitoring, and lifecycle management.

MLOps & Infrastructure

  • Design and implement MLOps practices for Continuous Integration (CI), Continuous Deployment (CD), and Continuous Training (CT) to ensure model reliability and prevent model drift.

Data & Integration

  • Collaborate with Data Engineering teams to design scalable AI data architectures, including Vector Databases, Retrieval-Augmented Generation (RAG) workflows, and enterprise data pipelines.

AI Governance & Security

  • Establish AI governance frameworks to ensure fairness, transparency, security, and compliance with data privacy regulations such as GDPR and CCPA.

Cost Management

  • Optimize AI infrastructure costs, including GPU utilization, token optimization, and efficient resource management for large AI workloads.

Communication & Leadership

  • Effectively communicate AI strategies, capabilities, and limitations to executive leadership and non-technical stakeholders.

  • Provide technical leadership across cross-functional teams.

Technical Skills

  • Generative AI

  • Machine Learning & Deep Learning

  • Natural Language Processing (NLP)

  • Computer Vision

  • Python

  • MLOps

  • CI/CD

  • Vector Databases

  • RAG Architecture

  • SQL

  • Snowflake / BigQuery

  • AI Infrastructure & Cloud Platforms

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10474459
  • Position Id: JB-ANLCTS87
  • Posted 6 hours ago

Company Info

About Kanshe Infotech

Kanshe Infotech, which focuses primarily on providing timely, high-quality, and cost-effective application development and consulting services.

Today, the core of many businesses is software and application development, thus providing end-to-end solutions and services with quality assurance will help our clients stand out from the competition. We bring great on-premises solutions to every project along with our strict adherence to best practises, dedication to timely delivery, and engineering expertise.

We work hard to consistently deliver the best solutions to our potential clients since we feel that staying current with technology is what defines the success of a business.

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