Position: Gen AI Architect
Location: NYC, NY (Onsite)
Duration: 12 Months
Required Skills:
- Architectural/technical
experience with Gen AI (RAG/chain frameworks, Vector DB searches and
embeddings, Agentic AI, etc.)
- Architectural/technical
expertise with cloud especially GCP, Azure, AWS (native, cloud agnostic,
container, etc offerings) and cloud/SAAS systems integration.
- Experience designing
REST APIs that facilitate a strong developer experience or simplify
systems integration.
- Experience designing
systems that leverage Kafka for messaging/streaming.
- 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
- Experience with the
design and development of complex systems; employs a disciplined and
rigorous approach
- Adept at requirements
analysis, estimation, systems and application design, and testing
- Familiarity with popular
Design Patterns.
- Excellent collaboration,
influencing, and consensus-building skills. Ability to work with persons
in all job functions (e.g. product, program, developers, etc).
- Excellent verbal and
written communications
- Ability to manage
multiple competing priorities with minimal supervision. Self-directed
- A great team player,
with demonstrable experience delivering superior software products via
Agile methodologies
- Experience on an Agile
team
- 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
- Experience with
distributed computing architectures, including race conditions,
parallelism, and concurrency control
- Meeting facilitation
with stakeholders, partners and team
- Gen AI
(RAG/chain frameworks, Vector DB searches and embeddings, Agentic AI,
etc.)
- GCP,
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), GCP (big data), some AWS (digital experience)
Salesforce
Service Cloud for user experience (GPS and some MX)
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02/06/26, 09:10:26 AM |
