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Principal AI Architect
Career Insights for Natural Language Processing Engineer
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Based on Maryland data
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$120,049 / year median in Maryland
Job Description
- Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future
In This Role, You Will:
Architect and design agent-based AI solutions leveraging foundation models and emerging generative AI technologies. Define end-to-end solution architectures for orchestration, integration, scalability, security, and enterprise adoption. Lead the design and implementation of AI agent frameworks using LangChain, LangGraph, and related orchestration platforms. Collaborate with engineering teams to integrate large language models through APIs and ensure seamless connectivity with enterprise systems. Establish architectural standards, best practices, and governance for AI, cloud, and MLOps platforms while mentoring technical teams and stakeholders. Work Model 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 attendance at a client or Cognizant office as needed. 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 Need to Have to Be Considered 15 to 19 years of progressive experience in software architecture, including 10+ years designing enterprise-scale technology solutions. 3+ years of hands-on experience with LangChain, LangGraph, or similar frameworks for AI agent orchestration. Proven experience integrating large language models through APIs, including OpenAI, Anthropic Claude, Gemini, or equivalent platforms. Strong knowledge of MLOps and AI platform engineering, including tools such as MLflow, Kubeflow, Azure Pipelines, AKS, OCI, or comparable technologies. Deep expertise in Java architecture, object-oriented design principles, design patterns, and Spring Boot-based enterprise applications. Experience designing scalable microservices, RESTful APIs, asynchronous messaging solutions, and distributed systems. Strong understanding of cloud-native architecture, performance optimization, reliability, observability, and security best practices. Excellent communication, leadership, and stakeholder management skills with the ability to communicate complex architectural decisions to both technical and business audiences. These Will Help You Stand Out Experience with Azure AI services, including Azure AI Search, Azure AI Document Intelligence, Azure OpenAI Service, and related AI platform capabilities. Familiarity with React-based user interfaces and full-stack solution architecture. Experience building enterprise AI platforms that support multi-agent workflows and autonomous decision-making. Knowledge of modern DevOps practices, containerization technologies, and automated deployment strategies. Experience leading architecture initiatives for large-scale digital transformation programs within global organizations. Applications will be accepted until August 27 th ,2026.Salary and Other Compensation:
The annual salary for this position is between $ 108,000 to $ 180,000 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.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