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 Responsibilities
AI Led Automation Architecture
Lead the end‑to‑end architecture of AI/ML/GenAI/Agentic AI solutions, including model selection, data pipelines, orchestration layers, integration patterns, and deployment architecture
Define reference architectures, reusable frameworks, and engineering standards for automation and AI workloads
Architect solutions using cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex), AI capabilities provided by IPA platforms (UiPath, Power Platform), and custom Python‑based pipelines
Conduct technical feasibility assessments, including data availability, model readiness, integration constraints, and infrastructure requirements
Ensure solutions meet enterprise standards for security, scalability, observability, compliance, and responsible AI
Own the technical delivery lifecycle: requirements, solution design, development oversight, testing, deployment, and hypercare
Guide engineering teams on model training, prompt engineering, RAG pipelines, vector databases, orchestration frameworks, and automation workflows
Oversee creation of APIs, microservices, connectors, and integration layers to embed AI into enterprise systems
Implement CI/CD pipelines, MLOps practices, and automation deployment frameworks
Drive performance tuning, model evaluation, monitoring, and continuous improvement of deployed AI systems
Establish AI governance and AI Strategy including model lifecycle management, versioning, auditability, and risk controls
Serve 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 enablement
Lead 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 plans
Required Skills & Qualifications
AI/ML/GenAI Technical Expertise
Strong practitioner experience designing and implementing AI/ML pipelines, GenAI solutions, RAG architectures, and agent‑based systems
Hands‑on experience with cloud AI platforms:
Azure AI / Azure OpenAI
AWS AI/ML stack
GCP Vertex AI
Experience with vector databases (Pinecone, FAISS, Chroma, Redis), embeddings, prompt engineering, and LLM orchestration frameworks
Proficiency in Python, API development, microservices, and automation frameworks
Candidate Background
The 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 Experience
Strong understanding of workflow orchestration, event‑driven architectures, and enterprise integration patterns
Experience integrating AI with core systems (policy admin, claims, CRM, data lakes, APIs)
Architecture & Delivery Leadership
Proven ability to lead large‑scale AI automation delivery programs with complex technical dependencies
Strong background in MLOps, DevOps, CI/CD, model monitoring, and production deployment
Experience conducting architecture reviews, threat modeling, and performance optimization
Ability to create technical roadmaps, solution blueprints, and engineering playbooks
Cognizant 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.
La Comunidad Cognizant:
Somos un equipo que se aprecia y apoya mutuamente. Nuestros asociados trabajan en un entorno colaborativo e integrador en el que todos pueden prosperar.
- Cognizant es una comunidad global con más de 300.000+ asociados en todo el mundo.
- No solo soñamos con un mundo mejor, sino que trabajamos para hacerlo realidad.
- Cuidamos de nuestros asociados, clientes, socios, comunidades y entorno haciendo lo correcto.
- Fomentamos un entorno innovador en el que puedes desarrollar tu carrera profesional.
Acerca de nosotros
Cognizant (NASDAQ: CTSH) es arquitecto de soluciones de IA y proveedor de servicios tecnológicos que traduce la inversión en inteligencia artificial en valor empresarial real mediante soluciones de IA de stack completo adaptadas a cada cliente. Su profundo conocimiento de la industria, los procesos y la ingeniería le permite integrar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan un impacto real en el negocio y mantienen a las grandes empresas globales un paso adelante en un mundo en constante cambio. Para más información, visita www.cognizant.es o síguenos en @cognizant.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
Advertencia:
La información sobre remuneración es exacta a la fecha de esta publicación. Cognizant se reserva el derecho a modificar esta información en cualquier momento, sujeto a la legislación aplicable.Es posible que los candidatos deban asistir a entrevistas en persona o por videoconferencia e, incluso, que tengan presentar su documento de identidad vigente, durante cada entrevista.