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.
À propos de nous :
Cognizant (NASDAQ : CTSH) est un concepteur d’IA et un fournisseur de services technologiques. Avec notre gamme de solutions IA full-stack, nous accompagnons nos clients au carrefour de l’investissement dans l’IA et de la valeur ajoutée. Notre grande expertise sectorielle, des processus et de l’ingénierie nous permet de convertir le contexte propre à chaque entreprise en systèmes technologiques amplificateurs du potentiel humain, générateurs de résultats tangibles et garants de l’avantage des acteurs internationaux dans un monde en constante évolution. Découvrez notre méthode sur www.cognizant.com ou suivez @cognizant.
Renseignments suppplémentaires sur l'emploi
Les informations relatives à la rémunération du poste à pourvoir dépendent de la date de publication de l’offre de poste. Cognizant se réserve le droit de modifier ces informations à tout moment, sous réserve des lois applicables.
Cognizant est un employeur soucieux de l'égalité des chances entre candidats. Votre candidature sera étudiée indépendamment de votre race, couleur, sexe, religion, croyances, orientation sexuelle, identité de genre, origine, handicap, informations génétiques, grossesse, statut d'ancien militaire ou de toute autre critère jugé discriminant par les lois européennes ou françaises.
Vous êtes porteur d'un handicap, vous pouvez-nous contacter par courriel [email protected] si vous souhaitez préciser les aménagements nécessaires pour le poste ou les entretiens à venir.
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