AI Solution Architect

Codetech • Hartford, CT

2d

About The Position

The AI Solution Architect defines end-to-end solutions for an AI-driven contact center across three programs. Guided Personal Service (GPS) is a large, Scaled Agile Framework (SAFe)-based program with more than three Agile Release Trains supporting healthcare member and provider contact centers. The program is in its seventh year and is expanding support for additional lines of business, with current work focused on integrating Medicaid. Member Experience (MX) is a single-Agile Release Train SAFe program intended to improve member satisfaction and reduce friction through timely digital communications, an enhanced digital experience, and data and analytics. Your Aetna Virtual Assistant (YAVA) / Live Chat is a hybrid/SAFe program focused on providing voice and chat self-service through Conversational AI to replace legacy IVRs.

The architect receives epic and feature assignments and general direction from the train architect. They work with Product Owners, business analysts, development technical leads, domain architects, and integration architects to refine requirements and develop solution artifacts. The role applies and creates architecture patterns, builds business and systems subject-matter expertise, and presents solution sketches to stakeholders for review and feedback. The enterprise is moving from an API-first approach toward an AI-first approach. 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.

Requirements

• Architectural or technical experience with generative AI, including RAG and chain frameworks, vector database searches and embeddings, and agentic AI.
• Architectural or technical expertise in cloud platforms and cloud/SaaS integration, especially GCP, Azure, and AWS, including native, cloud-agnostic, and container offerings.
• Experience designing REST APIs that provide a strong developer experience or simplify systems integration.
• Experience designing systems that use Kafka for messaging or streaming.
• Experience with RDBMS and/or NoSQL databases, such as MongoDB, and understanding of their benefits and trade-offs.
• Familiarity with normalization, 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, consensus-building, verbal communication, and written communication skills.
• Ability to work with people in different job functions, including product, program, and development teams.
• Ability to manage competing priorities with minimal supervision; self-directed and a strong team player.
• Demonstrable experience delivering high-quality software products using Agile methodologies and experience working on an Agile team.
• Experience with modern languages, frameworks, and technologies such as Java, JavaScript, Node.js, messaging and queuing infrastructures, 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 track record of 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.
• Work with the train architect to receive epic and feature assignments and direction.
• Partner with Product Owners, business analysts, and development technical leads to refine and understand requirements.
• Consult Solution Domain Lead architects as needed for guidance or to vet solutions that affect 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 and create new patterns when addressing new ground.
• Present solution sketches to stakeholders, including the solution architect team, infrastructure SMEs, and business representatives, to obtain review and feedback.
• Facilitate meetings with stakeholders, partners, and teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed