AI Solutions Architect

Solution Architect – AI Document Processing & Authoring (Remote)

Location: United States (Remote)

Employment Type: Full-Time

About Cognizant

Cognizant (NASDAQ: CTSH) is one of the world's leading professional services companies, helping clients modernize technology, reimagine processes, and transform experiences. We engineer modern businesses to improve everyday life. Our associates around the globe help clients build stronger, more agile, and innovative organizations.

Our AI and Digital Engineering teams help clients accelerate innovation through Generative AI, Intelligent Automation, Cloud Platforms, and Data-Driven Solutions. We partner with global enterprises to design, implement, and scale AI-powered platforms that improve operational efficiency, enhance user experiences, and unlock business value.

Role Overview

Cognizant is seeking a highly skilled Solution Architect – AI Document Processing & Authoring to lead the design, implementation, and support of AI-powered document extraction and authoring solutions within enterprise platforms.

This hands-on role serves as both a solution architect and implementation expert, responsible for translating business requirements into scalable, secure, and production-ready AI solutions. The successful candidate will work across the full delivery lifecycle, including discovery, architecture, platform configuration, integration design, testing, deployment, and operational support.

The ideal candidate will possess expertise in AI-enabled document processing, enterprise integrations, prompt engineering, workflow design, and modern cloud-based architectures while collaborating with business stakeholders, product teams, developers, and platform engineering groups.

Work Model

This position is fully remote within the United States, with flexibility to collaborate across multiple geographic regions and time zones.

Occasional travel may be required for client workshops, stakeholder meetings, project planning sessions, or strategic initiatives.

Key Responsibilities

AI Solution Architecture & Design

• Lead discovery workshops and solution design sessions to identify business requirements and define AI-powered document processing and authoring solutions.
• Translate business needs into functional and technical requirements, user stories, process flows, acceptance criteria, edge cases, and implementation plans.
• Design scalable, secure, and maintainable AI-based workflows supporting document extraction, content creation, and enterprise content management.
• Define end-to-end solution architectures that align with business objectives, enterprise standards, and security requirements.

AI Document Processing Implementation

• Design and configure document-ingestion workflows, extraction schemas, validation rules, confidence thresholds, provenance requirements, and downstream processing capabilities.
• Develop and optimize document extraction workflows that improve automation, traceability, and operational efficiency.
• Configure human-in-the-loop review processes to ensure extraction quality and accuracy.
• Define data mapping and export requirements supporting enterprise reporting, analytics, and downstream integrations.

AI Authoring Solutions

• Design and implement template-driven AI authoring workflows.
• Configure document generation processes that incorporate source documentation, context management, retrieval mechanisms, and review cycles.
• Define prompt engineering strategies, citation requirements, traceability controls, and content governance standards.
• Implement workflows supporting version control, approval management, and content lifecycle management.
• Ensure generated outputs meet quality, consistency, compliance, and user-experience expectations.

Prompt Engineering & AI Optimization

• Utilize prompt engineering techniques to enhance document extraction and AI-generated content quality.
• Develop structured evaluation approaches for validating AI outputs against business requirements and quality standards.
• Perform testing and optimization of prompts, model responses, retrieval strategies, and grounding techniques.
• Partner with business stakeholders to continuously improve AI-produced outputs.

Integration Architecture

• Design and oversee implementation of APIs, automation workflows, and integration patterns connecting AI platforms with enterprise applications.
• Define data mappings and information exchange processes between content repositories, storage platforms, identity services, and downstream applications.
• Ensure reliable and secure integration of AI capabilities into existing enterprise ecosystems.
• Support implementation of automation and orchestration frameworks that improve scalability and maintainability.

Delivery & Cross-Functional Collaboration

• Partner with business SMEs, product owners, engineering teams, data teams, and platform stakeholders throughout the solution lifecycle.
• Support development teams by providing technical guidance and architectural oversight.
• Collaborate with distributed teams across the United States and global delivery centers.
• Manage project dependencies, risks, milestones, and stakeholder communications.
• Participate in architecture reviews, solution governance, and release planning activities.

Testing, Validation & Quality Assurance

• Define and execute testing strategies covering:
• Functional Testing
• Integration Testing
• User Acceptance Testing (UAT)
• AI Output Validation
• Prompt Performance Testing
• Failure Scenario Testing
• Facilitate defect triage activities and validate corrective actions.
• Ensure solutions meet performance, security, reliability, and usability requirements before deployment.

Production Support & Continuous Improvement

• Support production operations through monitoring, incident management, root cause analysis, and issue resolution.
• Develop ru