Gen AI Solutions Architect

Overview

Remote
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 24 Month(s)

Skills

Amazon Web Services
Apache Kafka
Artificial Intelligence
Agile
Big Data
Cloud Computing
Concurrent Computing
Design Patterns
Consensus Decision-making
Estimating
Continuous Delivery
Generative Artificial Intelligence (AI)
Google Cloud Platform
Java
JavaScript
Microsoft Azure
Microsoft Certified Professional
Node.js
Python
Good Clinical Practice
Continuous Integration
User Experience
System Integration
Requirements Analysis
Management

Job Details

Position: Gen AI Solutions Architect

Location: Remote

Duration: 12 Months

Required Skills:

  1. Architectural/technical experience with Gen AI (RAG/chain frameworks, Vector DB searches and embeddings, Agentic AI, etc.)
  2. Architectural/technical expertise with cloud especially Google Cloud Platform, Azure, AWS (native, cloud agnostic, container, etc offerings) and cloud/SAAS systems integration.
  3. Experience designing REST APIs that facilitate a strong developer experience or simplify systems integration.
  4. Experience designing systems that leverage Kafka for messaging/streaming.
  5. Experience with RDBMS and/or NoSQL databases (i.e. MongoDB). Understands the benefits and trade-offs of both. Familiar with normalization and denormalization, sharding, and other data-centric patterns
  6. Experience with the design and development of complex systems; employs a disciplined and rigorous approach
  7. Adept at requirements analysis, estimation, systems and application design, and testing
  8. Familiarity with popular Design Patterns.
  9. Excellent collaboration, influencing, and consensus-building skills. Ability to work with persons in all job functions (e.g. product, program, developers, etc).
  10. Excellent verbal and written communications
  11. Ability to manage multiple competing priorities with minimal supervision. Self-directed
  12. A great team player, with demonstrable experience delivering superior software products via Agile methodologies
  13. Experience on an Agile team
  14. Experience with modern languages, frameworks, and technologies such as Java, JavaScript, Node.js, messaging queuing infrastructures, as well as cloud and on-premise infrastructure and services
  15. Experience with distributed computing architectures, including race conditions, parallelism, and concurrency control
  16. Meeting facilitation with stakeholders, partners and team

  • Gen AI (RAG/chain frameworks, Vector DB searches and embeddings, Agentic AI, etc.)
  • Google Cloud Platform, AWS (native, cloud agnostic, container, etc offerings)
  • REST APIs
  • Kafka for messaging/streaming.
  • RDBMS and/or NoSQL databases (i.e. MongoDB)
  • Experience with modern languages (Python), frameworks, and technologies such as Java, JavaScript, Node.js
  • Impending AI agent interoperability standards /approached (i.e. Model Context Protocol -MCP, Agent2Agent - A2A, etc.)
  • Knowledge of Salesforce AgentForce.
  • Contact Center technology expertise (Salesforce, Five9, etc.)
  • Exposure to CI/CD and DevOps

Primary technologies

API-first centric enterprise moving to an AI-first centric enterprise

Azure cloud (compute), Google Cloud Platform (big data), some AWS (digital experience)

Salesforce Service Cloud for user experience (GPS and some MX)

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