Conversational AI Solution Architect

Role #2: Conversational AI Solution Architect

End Client: CVS

Remote

$85/hour on C2C

Create cuttingedge solutions for Conversational AI Capabilities / Epics

Develop/maintain product blueprints/models for the conversational AI portfolio.

Ensure product solutions align and integrate with enterprise solutions with performance engineering disciplines incorporated.

Define subsystems and their interfaces allocate responsibilities to subsystems understand solution deployment and communicate requirements for interactions with solution context.

Work with customers stakeholders and suppliers to establish highlevel Solution Intent and the solution intent information models and documentation requirements.

Identifies opportunities to create reusable components.
Partner with Product Management and Product Owners to create business value and develop models to guide the architecture and manage standard technical product life cycle.

Guides the development of solutions with high complexity and risk with business area implications with quality output for products and services.

Advances capabilities for the enterprise to enable automation/integration across hybrid processing environments (AI Cloud API Web Micro Services).

Researches and proposes technical strategies. Studies and documents architectural frameworks and reference material. Designs and modifies components of new and existing IT systems and vendor offerings to promote integrated corporate business systems.

Explores anticipates and proactively responds to future customer industry and IT trends.

Required Qualifications:
10 years experience working within Enterprise Delivery Ecosystem including multilayer integrations and emerging technologies.
5 years experience designing and developing AI Solutions.
5 years experience designing and developing RESTful microservices.
5 years experience developing in a public cloud (AWS or GCP preferred)
5 years experience on an agile team and working collaboratively with product design and engineering members.
Experience with OAuth2 security.
Experience with Kubernetes or other container platforms.
Conversational Generative AI and NLP LLM solutions.
Experience with Kafka or other messaging platforms.
Experience with Splunk sophisticated query monitoring and altering solutions.