AI Solutions Architect

CEI LLC
Homestead, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Homestead, United States of America

Tech stack

Java
Artificial Intelligence
Amazon Web Services (AWS)
Architectural Patterns
Computer Vision
Azure
Business Software
Data Architecture
Data Governance
ETL
Data Systems
Data Warehousing
Python
Machine Learning
Natural Language Processing
NoSQL
Queueing Systems
Azure
SQL Databases
Data Streaming
Reinforcement Learning
Cloud Platform System
Large Language Models
Deep Learning
Generative AI
Event Driven Architecture
Data Lake
AI Platforms
Kubernetes
Information Technology
Machine Learning Operations
Api Design
REST
Data Pipelines
Serverless Computing
Docker
Microservices

Job description

We are seeking an experienced AI Solution Architect to lead the design and implementation of enterprise-level AI solutions. In this role, you'll bridge the gap between business needs and technical capabilities, architecting scalable AI systems that deliver measurable business value while guiding technical teams through complex AI implementations., * As an AI Solution Architect you:

  • Design end-to-end AI solution architectures that align with business objectives and technical requirements
  • Evaluate business challenges and identify opportunities where AI can provide effective solutions
  • Lead technical discussions with stakeholders to translate business problems into AI-driven solutions
  • Define technical standards, best practices, and architectural patterns for AI projects
  • Oversee the integration of AI solutions with existing enterprise systems and infrastructure
  • Collaborate with data scientists, engineers, and business teams to ensure successful project delivery
  • Conduct feasibility studies and proof-of-concepts for new AI initiatives
  • Create technical documentation, architecture diagrams, and implementation roadmaps
  • Provide technical leadership and mentorship to development teams
  • Stay current with emerging AI technologies and assess their potential business applications
  • Ensure AI solutions meet security, scalability, performance, and compliance requirements

Technical Expertise

  • AI/ML Technologies: Deep learning, NLP, computer vision, reinforcement learning, generative AI (LLMs, diffusion models)
  • Cloud Platforms: AWS (SageMaker, Bedrock), Azure (AI Services, OpenAI), GCP (Vertex AI)
  • Data Technologies: SQL/NoSQL databases, data warehouses, data lakes, streaming platforms
  • MLOps Tools: MLflow, Kubeflow, DVC, model registries
  • Architecture: Microservices, API design, event-driven architectures, serverless
  • Programming: Python, understanding of other languages (Java, Scala, etc.)
  • Containerization: Docker, Kubernetes
  • Integration: REST APIs, message queues, ETL/ELT pipelines

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
  • 5+ years of experience in solution architecture, with at least 3 years focused on AI/ML projects
  • Proven ability to identify, analyze, and solve complex business problems using AI technologies
  • Strong track record of architecting and delivering AI solutions that address real-world challenges
  • Deep understanding of AI/ML technologies, including traditional ML, deep learning, and generative AI
  • Experience designing scalable, production-ready AI systems
  • Strong knowledge of cloud architectures (AWS, Azure, or GCP) and AI/ML services
  • Expertise in data architecture, data pipelines, and data governance

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