Consulting Principal, Enterprise AI

Cognizant; Irving (TX); Hybrid; USD 180,000 - 260,000; Full time

Job summary

Cognizant Consulting is seeking a Consulting Principal, Enterprise AI to define enterprise-wide AI architecture strategy and establish scalable, secure AI solutions for SaaS, fintech, payments, and Hi-Tech clients. You will collaborate with executives, architects, engineering leaders, product teams, and delivery organizations to drive AI transformation at scale.

The role requires 12–15+ years in Enterprise Architecture, governance expertise, and hands-on experience with GenAI, LangChain, MLflow,

Qualifications

• 12–15+ years of Enterprise Architecture experience supporting large-scale enterprise technology transformation programs.
• Proven experience architecting enterprise-grade AI, GenAI, machine learning, and agentic AI solutions.
• Deep expertise with TOGAF Architecture Development Method (ADM) and Enterprise Architecture governance frameworks.
• Significant client-facing consulting experience, including executive stakeholder engagement, solutioning, pre-sales, and strategic advisory responsibilities.
• Strong experience designing cloud-native architectures across AWS, Azure, and/or Google Cloud Platform.
• Expertise in microservices, Kubernetes, Docker, event-driven architecture, Kafka, REST APIs, and enterprise integration patterns.
• Experience designing GenAI solutions including RAG architectures, vector databases, LLM onboarding, AI orchestration frameworks, and autonomous agent solutions.
• Strong understanding of AI governance, responsible AI practices, model evaluation frameworks, privacy requirements, and regulatory compliance controls.
• Demonstrated ability to independently develop proofs of concept and working prototypes to validate AI solutions and architecture decisions.
• Experience establishing architecture standards, reusable frameworks, governance processes, and enterprise reference architectures.

Responsibilities

• Define enterprise AI architecture vision, governance standards, and target-state roadmaps that enable AI-augmented operations and intelligent automation.
• Architect scalable, secure GenAI architectures and accelerators across client portfolios.
• Design cloud-native architectures and integration patterns across AWS, Azure, and GCP with SaaS and enterprise apps.
• Establish governance, model evaluation, and compliance controls through Architecture Review Board processes.
• Serve as trusted advisor to client executives, supporting solutioning, pre-sales, and large-scale transformation initiatives.

Skills

Enterprise AI strategy

Executive stakeholder engagement

Architecture governance

GenAI architectures

Cloud-native architectures

Kubernetes

Docker

Kafka

REST APIs

LangChain

LlamaIndex

MLflow

Hugging Face

PyTorch

TensorFlow

Vector databases

AI governance

Proofs of concept

Architecture reference frameworks

Tools

Kubernetes

Docker

Kafka

REST APIs

LangChain

LlamaIndex

MLflow

Hugging Face

PyTorch

TensorFlow

Job description

About Cognizant Consulting

Cognizant Consulting is more than Cognizant’s consulting practice—we’re a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending our deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients. And now, we’re looking for our next colleague who’ll join us in shaping the future of business. Could it be you?

About the role

As a Consulting Principal, Enterprise AI you will make an impact by defining enterprise-wide AI architecture strategy and establishing scalable, secure, and governed AI solutions across a portfolio of SaaS, fintech, payments, and Hi-Tech clients. You will be a valued member of the Enterprise Architecture team and work collaboratively with executive stakeholders, solution architects, engineering leaders, product teams, delivery organizations, and client leadership to drive AI transformation at enterprise scale.

In this role, you will:

• Define enterprise AI architecture vision, governance standards, and target-state roadmaps that enable AI-augmented operations, intelligent automation, and enhanced customer and employee experiences

• Architect scalable, resilient, explainable, and secure GenAI, machine learning, RAG, and agentic AI solutions while establishing reusable reference architectures and accelerators across client portfolios

• Design cloud-native architectures and integration patterns across AWS, Azure, and GCP, ensuring AI capabilities are seamlessly integrated with SaaS platforms, payment ecosystems, finance systems, ServiceNow, Salesforce, DocuSign, and other enterprise applications

• Establish architecture governance, responsible AI standards, model evaluation frameworks, compliance controls, and Architecture Review Board processes to ensure production-ready solutions

• Serve as a trusted advisor to client executives while supporting solutioning, pre-sales activities, discovery workshops, proof-of-concepts, and large-scale transformation initiatives

Work model – Hybrid

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you must have to be considered

• 12–15+ years of Enterprise Architecture experience supporting large-scale enterprise technology transformation programs

• Proven experience architecting enterprise-grade AI, GenAI, machine learning, and agentic AI solutions

• Deep expertise with TOGAF Architecture Development Method (ADM) and Enterprise Architecture governance frameworks

• Significant client-facing consulting experience, including executive stakeholder engagement, solutioning, pre-sales, and strategic advisory responsibilities

• Strong experience designing cloud-native architectures across AWS, Azure, and/or Google Cloud Platform

• Expertise in microservices, Kubernetes, Docker, event-driven architecture, Kafka, REST APIs, and enterprise integration patterns

• Experience designing GenAI solutions including RAG architectures, vector databases, LLM onboarding, AI orchestration frameworks, and autonomous agent solutions

• Strong understanding of AI governance, responsible AI practices, model evaluation frameworks, privacy requirements, and regulatory compliance controls

• Demonstrated ability to independently develop proofs of concept and working prototypes to validate AI solutions and architecture decisions

• Experience establishing architecture standards, reusable frameworks, governance processes, and enterprise reference architectures

These will help you succeed

• Domain expertise in SaaS platforms, fintech and payments, finance automation, semiconductor manufacturing, or Hi-Tech enterprise environments

• Experience supporting fraud detection, risk decisioning, payment processing, ledger platforms, identity management, compliance, and financial automation initiatives

• Experience integrating AI solutions with Salesforce, ServiceNow, DocuSign, ERP platforms, finance systems, and payment ecosystems

• Hands-on experience with LangChain, LlamaIndex, MLflow, Hugging Face, PyTorch, TensorFlow, and vector database technologies

• Experience designing enterprise data platforms, lakehouse architectures, Kafka-based streaming solutions, and large-scale analytics ecosystems

• Experience operating within highly regulated environments requiring PCI-DSS, SOX, privacy, fraud prevention, resilience, and audit controls

• Experience leading Architecture Review Boards, Design Review Boards, and enterprise governance councils

• Experience developing proposals, estimates, statements of work, and executive-level solution presentations

• TOGAF certification and cloud architecture certifications across AWS, Azure, or GCP

We're excited to meet people who share our mission and can make an impact in a variety of ways. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.