AI Architect for Automation Delivery (Remote)

AI Architect for Automation Delivery (Remote)The Cognizant Automation practice delivers enterprise-grade AI, Machine Learning, GenAI, Agentic AI, Smart Data Intake, and Intelligent Automation solutions across mission-critical business and IT processes. We are seeking a highly technical AI Architect for Automation Delivery to drive the design, engineering, and implementation of scalable AI automation programs for a North America–based client.This role is deeply execution-oriented and requires strong architectural judgment, hands-on delivery leadership, and the ability to translate business needs into robust, production-ready AI systems. The Engagement Lead will own the technical roadmap, solution architecture, delivery governance, and operationalization of AI and automation solutions at scale.Key ResponsibilitiesAI Led Automation ArchitectureLead the end-to-end architecture of AI/ML/GenAI/Agentic AI solutions, including model selection, data pipelines, orchestration layers, integration patterns, and deployment architectureDefine reference architectures, reusable frameworks, and engineering standards for automation and AI workloadsArchitect solutions using cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex), AI capabilities provided by IPA platforms (UiPath, Power Platform), and custom Python-based pipelinesConduct technical feasibility assessments, including data availability, model readiness, integration constraints, and infrastructure requirementsEnsure solutions meet enterprise standards for security, scalability, observability, compliance, and responsible AIOwn the technical delivery lifecycle: requirements, solution design, development oversight, testing, deployment, and hypercareGuide engineering teams on model training, prompt engineering, RAG pipelines, vector databases, orchestration frameworks, and automation workflowsOversee creation of APIs, microservices, connectors, and integration layers to embed AI into enterprise systemsImplement CI/CD pipelines, MLOps practices, and automation deployment frameworksDrive performance tuning, model evaluation, monitoring, and continuous improvement of deployed AI systemsEstablish AI governance and AI Strategy including model lifecycle management, versioning, auditability, and risk controlsServe as the primary technical advisor to client architects, product owners, and engineering leaders. Drive adoption and operationalization of AI solutions through training, change management, and platform enablementLead for AI programs, driving alignment between business stakeholders, technical teams, and delivery partners. Should bring strong experience leading complex AI initiatives, manage cross-functional engagement, and translating strategic objectives into actionable program plansRequired Skills & QualificationsAI/ML/GenAI Technical ExpertiseStrong practitioner experience designing and implementing AI/ML pipelines, GenAI solutions, RAG architectures, and agent-based systemsHands-on experience with cloud AI platforms: Azure AI / Azure OpenAI, AWS AI/ML stack, GCP Vertex AIExperience with vector databases (Pinecone, FAISS, Chroma, Redis), embeddings, prompt engineering, and LLM orchestration frameworksProficiency in Python, API development, microservices, and automation frameworksCandidate BackgroundThe ideal candidate brings a strong development and technical background, with hands-on experience in modern engineering stacks such as Python, Java, .NET, and related frameworks. A deep understanding of scalable architecture and clean coding practices is essential.Automation & Integration ExperienceStrong understanding of workflow orchestration, event-driven architectures, and enterprise integration patternsExperience integrating AI with core systems (policy admin, claims, CRM, data lakes, APIs)Architecture & Delivery LeadershipProven ability to lead large-scale AI automation delivery programs with complex technical dependenciesStrong background in MLOps, DevOps, CI/CD, model monitoring, and production deploymentExperience conducting architecture reviews, threat modeling, and performance optimizationAbility to create technical roadmaps, solution blueprints, and engineering playbooksCognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.J-18808-Ljbffr