Solution Architect

INUIX Consulting
Boston, United States of America
yesterday

Role details

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

Job location

Boston, United States of America

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Automated Storage and Retrieval Systems
Azure
Software as a Service
Computer Programming
Data Infrastructure
Relational Databases
DevOps
Middleware
Graph Database
Identity and Access Management
Python
Message Broker
NoSQL
Cloud Services
TensorFlow
Search Technologies
UML
Reinforcement Learning
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Cloud Platform System
Event Driven Architecture
Containerization
AI Platforms
HuggingFace
Atlassian Tools
Enterprise Integration
Integration Frameworks
Data Management
Machine Learning Operations
Virtual Agents
GPT
Serverless Computing

Requirements

  • AI & ML Frameworks: Familiarity with major AI/ML frameworks and services, including OpenAI GPT models, Google PaLM/Vertex AI, and Hugging Face Transformers library.

*SaaS AI & Data Platforms: Experience with leading SaaS AI & Data platforms in terms of agentic AI development, implementation, orchestration, AI guardrails

*Agentic AI Tooling: Exposure to frameworks and libraries for building AI agents and chains, such as LangChain ,Microsoft's Semantic Kernel.

*Retrieval Systems: Strong knowledge of search and retrieval technologies, including vector databases and semantic search.

*Cloud Services: Expertise in cloud ecosystems (AWS, Azure, Google Cloud Platform), including cloud AI services, serverless computing, containerization, and related DevOps tools.

*Programming & Scripting: Proficiency in programming languages commonly used for AI and integration, primarily Python and at least one general-purpose language.

*Data Platforms: Knowledge of modern data platforms, including relational databases, NoSQL stores, and data processing frameworks.

*Integration & APIs: Experience designing and using APIs and middleware, knowledge of event-driven architectures and message brokers.

*DevOps & MLOps: Familiar with CI/CD pipelines and infrastructure as code, understanding of MLOps principles and tools.

*Security & Compliance Tools: Comfort with technologies for securing AI applications, including identity and access management, encryption, and compliance tools.

*Collaboration & Design: Proficient with tools used in architecture and design documentation, including UML design tools and agile project management tools.

*Emerging Tech: Awareness of emerging tech such as knowledge graphs and reinforcement learning frameworks.

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