00067709102
- Date published Apr 13 2026
- Location Dallas,TX\-2626 Cole Avenue / United States
- Job category Business Processes
- Work model Hybrid
- 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
- Strong practitioner experience designing and implementing AI/ML pipelines, GenAI solutions, RAG architectures, and agent‑based systems
- Hands‑on experience with cloud AI platforms:
- Experience with vector databases (Pinecone, FAISS, Chroma, Redis), embeddings, prompt engineering, and LLM orchestration frameworks
- Proficiency in Python, API development, microservices, and automation frameworks
- 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)
- 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 is a global community with more than 300,000 associates around the world.
- We don’t just dream of a better way – we make it happen.
- We take care of our people, clients, company, communities and climate by doing what’s right.
- We foster an innovative environment where you can build the career path that’s right for you.
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
Required Skills \& Qualifications
AI/ML/GenAI Technical Expertise
+ Azure AI / Azure OpenAI
+ AWS AI/ML stack
+ GCP Vertex AI
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
Architecture \& Delivery Leadership
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.
The Cognizant community:
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.
About us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry\-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ\-100 and one of Forbes World’s Best Employers 2025\) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email CareersNA2@cognizant.com with your request and contact information.
Disclaimer:
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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