Senior AI Architect - Hybrid

Cognizant Technology Solutions Corporation; Franklin Township (NJ); Hybrid; USD 104,000 - 166,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays

401(k) plan

Disability insurance

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking a Senior AI Architect to define and deliver enterprise-grade Agentic AI architectures built on LLMs, multi-agent systems, and orchestration layers.

You will collaborate with engineering leads, data platform teams, and client stakeholders to design autonomous AI agents, reference architectures, and cloud-native solutions that are secure and scalable. Hybrid work and multi-office collaboration in Charlotte, NC and Somerset, NJ are available.

Qualifications

• Twelve+ years of overall experience in AI/architecture roles.
• Mandatory expertise in Claude Code.
• Proven experience architecting GenAI and Agentic AI solutions: LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases, and multi-agent architectures and agent frameworks.
• Strong programming skills in Python with hands-on experience in AI libraries.
• Experience with cloud platforms, preferably Azure (Azure OpenAI, Azure AI Studio, Databricks), or AWS or GCP.
• Experience with data engineering ecosystems (Databricks, Snowflake, Synapse), REST APIs, microservices, and event streaming (Kafka, Event Hub).
• Working knowledge of DevOps and MLOps practices, including CI/CD pipelines, Docker, Kubernetes, monitoring, logging, and experiment tracking.

Responsibilities

• Define end-to-end Agentic AI architecture frameworks leveraging LLMs, multi-agent systems, and orchestration layers.
• Design autonomous AI agents capable of planning, reasoning, memory management, and tool usage.
• Establish reference architectures for enterprise-grade AI applications that are cloud-native, scalable, and secure.
• Integrate AI agents with enterprise systems, including data platforms, ERP, CRM, APIs, and event-driven systems.
• Apply Claude Code expertise to design and deliver AI-driven solutions (mandatory for this role).

Skills

Claude Code

GenAI

LLMs

Prompt engineering

Fine-tuning

RAG

Embeddings

Vector databases

Multi-agent architectures

Agent frameworks

Python

Azure OpenAI

Databricks

Snowflake

Synapse

REST APIs

Microservices

Kafka

Event Hub

CI/CD

Docker

Kubernetes

Monitoring

Logging

Experiment tracking

Tools

Claude Code

Azure OpenAI

Azure AI Studio

Databricks

Snowflake

Synapse

REST APIs

Docker

Kubernetes

Kafka

Event Hub

Job description

About the role

As a Senior AI Architect, you will make an impact for our client by defining and delivering enterprise-grade Agentic AI architectures built on LLMs, multi-agent systems, and orchestration layers. You will be a valued member of the AI Architecture team and work collaboratively with engineering leads, data platform teams, and client stakeholders.

In this role, you will:

• Define end-to-end Agentic AI architecture frameworks leveraging LLMs, multi-agent systems, and orchestration layers.
• Design autonomous AI agents capable of planning, reasoning, memory management, and tool usage.
• Establish reference architectures for enterprise-grade AI applications that are cloud-native, scalable, and secure.
• Integrate AI agents with enterprise systems, including data platforms, ERP, CRM, APIs, and event-driven systems.
• Apply Claude Code expertise to design and deliver AI-driven solutions (mandatory for this role).

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 X days a week in a client or Cognizant office in Charlotte, NC / Somerset, NJ. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.

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 need to have to be considered:

• 12+ years of overall experience.
• Mandatory expertise in Claude Code.
• Proven experience architecting GenAI and Agentic AI solutions: LLMs, prompt engineering, fine-tuning, RAG, embeddings, vector databases, and multi-agent architectures and agent frameworks.
• Strong programming skills in Python with hands-on experience in AI libraries.
• Experience with cloud platforms, preferably Azure (Azure OpenAI, Azure AI Studio, Databricks), or AWS or GCP.
• Experience with data engineering ecosystems (Databricks, Snowflake, Synapse), REST APIs, microservices, and event streaming (Kafka, Event Hub).
• Working knowledge of DevOps and MLOps practices, including CI/CD pipelines, Docker, Kubernetes, monitoring, logging, and experiment tracking.

These will help you stand out:

• Familiarity with Java, Scala, or Node.js.
• Experience designing secure, scalable, cloud-native reference architectures for enterprise AI applications.
• Experience integrating AI solutions with ERP, CRM, and other enterprise platforms.

Salary and compensation:

The annual salary for this position will be between $104,000 to $166,000 per year depending on the experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.

Applications will be received by December 4th, 2026.

Benefits:

Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance.
• Paid holidays plus Paid Time Off.
• 401(k) plan and contributions.
• Long-term/Short-term Disability.
• Paid Parental Leave.
• Employee Stock Purchase Plan.