AI Solution Architect

Codetech•Hartford, CT

About The Position

The AI Solution Architect defines end-to-end solutions for an AI-driven contact center. The role supports three major programs: Guided Personal Service (GPS), a large Scaled Agile Framework (SAFe) program with 3+ Agile Release Trains serving healthcare member and provider contact centers; Member Experience (MX), a single-ART SAFe program focused on improving member satisfaction through timely digital communications, enhanced digital experiences, and data and analytics; and Your Aetna Virtual Assistant (YAVA) / Live Chat, a hybrid/SAFe program delivering voice and chat self-service with Conversational AI to replace legacy IVRs. GPS is in year seven of a multi-year effort and is currently focused on integrating Medicaid. The architect receives epic and feature assignments and general direction from the train architect. They partner with product owners, business analysts, development technical leads, domain solution architects, and integration architects to refine requirements and develop solution artifacts. They apply existing architecture patterns or create new ones where needed, present solution sketches to stakeholders for feedback, and continuously build business and systems subject-matter expertise. The organization is moving from an API-first enterprise toward an AI-first enterprise. Primary technologies include Azure for compute, GCP for big data, some AWS for digital experience, and Salesforce Service Cloud for user experience in GPS and some MX. The role requires expertise across generative AI, cloud architecture and integration, APIs, messaging, data stores, distributed systems, and Agile software delivery.

Requirements

  • Architectural and technical experience with generative AI, including RAG and chain frameworks, vector database searches and embeddings, and agentic AI.
  • Architectural and technical expertise in cloud platforms, especially GCP, Azure, and AWS, including native, cloud-agnostic, container, and related offerings, as well as cloud and SaaS integration.
  • Experience designing REST APIs that provide a strong developer experience or simplify systems integration.
  • Experience designing systems that use Kafka for messaging and streaming.
  • Experience with relational and/or NoSQL databases, such as MongoDB, and understanding of their benefits and trade-offs.
  • Familiarity with normalization and denormalization, sharding, and other data-centric patterns.
  • Experience designing and developing complex systems using a disciplined and rigorous approach.
  • Ability in requirements analysis, estimation, systems and application design, and testing.
  • Familiarity with popular design patterns.
  • Excellent collaboration, influencing, and consensus-building skills, including the ability to work with people across job functions such as product, program, and development.
  • Excellent verbal and written communication skills.
  • Ability to manage multiple competing priorities with minimal supervision and work independently.
  • Team-oriented approach and demonstrable experience delivering software products through Agile methodologies.
  • Experience working on an Agile team.
  • Experience with modern languages, frameworks, and technologies such as Java, JavaScript, Node.js, messaging and queuing infrastructure, and cloud and on-premise infrastructure and services.
  • Experience with distributed computing architectures, including race conditions, parallelism, and concurrency control.

Nice To Haves

  • Knowledge of emerging AI agent interoperability standards or approaches, such as Model Context Protocol and Agent2Agent.
  • Knowledge of Salesforce Agentforce.
  • Contact center technology expertise, such as Salesforce or Five9.
  • A proven track record working as part of a team on large or complex systems.
  • Experience with SAFe software development principles.
  • Experience with distributed caching solutions and understanding of factors that enable effective caching.
  • Exposure to CI/CD and DevOps.

Responsibilities

  • Define end-to-end solutions for AI-driven contact center programs.
  • Receive epic and feature assignments and general direction from the train architect.
  • Partner with product owners, business analysts, and development technical leads to refine and understand requirements.
  • Consult solution domain lead architects as needed to seek guidance or vet solutions affecting other domains.
  • Collaborate with the integration architect to deliver solution artifacts such as sketches and presentations.
  • Continuously develop and refine business and systems subject-matter expertise.
  • Apply architecture patterns to solutions and create new patterns when addressing new ground.
  • Present solution sketches to stakeholders, including the solution architect team, infrastructure subject-matter experts, and business stakeholders, for review and feedback.
  • Facilitate meetings with stakeholders, partners, and teams.
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