> Markdown version of [/jobs/ext/3637963-ai-solutions-architect](https://www.wearedevelopers.com/jobs/ext/3637963-ai-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Architect - **Company:** Cognizant Technology Solutions Corporation - **Location:** Providence, RI, United States (Remote available) - **Experience:** Expert - **Salary:** $145,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Application Integration Architecture, Audit Trail, User Authentication, Cloud Computing, Cloud Engineering, Cyber Security, Information Systems, System Configuration, Data Mapping, Data Retention, Relational Databases, Document Management Systems, Enterprise Content Management, Information Extraction, Knowledge Management, Release Management, Cloud Services, Search Technologies, Software Engineering, Systems Integration, Strategies of Testing, Workflow Management Systems, Enterprise Software Applications, Performance Testing, Prompt Engineering, Generative AI, AWS Lambda, Fastapi, Pgvector, AI Platforms, Integration Tests, Kubernetes, Information Technology, Enterprise Integration, Integration Frameworks, Intelligent Document Processing, Software Version Control - **Published:** October 8, 2026 - **Apply:** https://dejobs.org/x/x/5631B9361D3147D88C99E061995C2B7C/job/ ## About the Role * Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent work experience. * 10+ years of experience in solution architecture, enterprise application delivery, or platform implementation. * Experience designing and implementing AI-powered document processing and content generation solutions. * Strong understanding of enterprise software architecture, cloud technologies, APIs, and systems integration. * Experience translating business requirements into technical specifications, workflows, and solution designs. * Strong knowledge of: * Generative AI * Prompt Engineering * Retrieval-Augmented Generation (RAG) * AI Output Validation * Enterprise Content Management * Experience supporting full software development lifecycle activities including design, testing, deployment, and production support. * Strong analytical, troubleshooting, and problem-solving skills. * Excellent communication, stakeholder management, and presentation skills. * Ability to work effectively across business, technical, and leadership teams. Preferred Qualifications * Experience with AWS cloud services and AI platforms. * Knowledge of AWS Bedrock and enterprise AI solution architectures. * Experience with: * FastAPI * AWS Lambda * Amazon S3 * Relational Databases * Vector Databases (PGVector) * Understanding of semantic search, embeddings, retrieval architectures, and contextual AI systems. * Experience with document management platforms and knowledge management systems. * Familiarity with enterprise security, governance, and compliance frameworks. * Experience leading global implementation projects and distributed technical teams. * Prior Life Sciences, Healthcare, or regulated-industry experience is a plus. Technical Expertise Candidates should demonstrate experience in: * Solution Architecture * Generative AI * AI Authoring Platforms * Intelligent Document Processing (IDP) * Prompt Engineering * Retrieval-Augmented Generation (RAG) * Enterprise Integrations * API Design & Development * AWS Cloud Services * FastAPI * AWS Lambda * Amazon S3 * Vector Databases * AI Governance * Content Management * Production Support & Operations ## Description 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., 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 runbooks, support models, operational procedures, and knowledge transfer materials. * Coordinate release planning, deployment readiness reviews, and post-production support activities. * Drive continuous improvement initiatives to enhance platform performance, adoption, and user experience. Security, Compliance & Governance * Partner with security, privacy, compliance, and governance teams to ensure solutions adhere to enterprise standards. * Define requirements for: * Authentication * Authorization * Access Control * Auditability * Data Retention * Information Security * Ensure AI solutions are implemented responsibly, securely, and in accordance with organizational policies.