Dallas-Based AI Engineer: Agentic AI & Cloud Pipelines

Cognizant Technology Solutions Corporation; Annapolis (MD); On-site; USD 59,000 - 72,000; Full time

Benefits offered by this job

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

Job summary

Cognizant is seeking a highly skilled Business & Data Analyst to join the IOA practice. You will design, build, and deploy full‑stack AI applications, translate client needs into scalable AI/ML solutions, and collaborate with analysts and consultants to drive measurable business impact.

Responsibilities include deploying agentic AI across cloud platforms (AWS, GCP, Azure), building data pipelines, and using ML/NLG techniques to support model training and analytics in enterprise environments.

Qualifications

• Bachelor's or master's in CS, data science, AI or related field.
• Strong problem-solving, analytical and communication skills.
• Hands-on experience with at least one cloud AI platform (AWS, GCP or Azure).
• Proficiency in Python; LangChain/LangGraph experience preferred.
• Experience with data engineering tools (Spark, Airflow, Kafka) and ML frameworks.

Responsibilities

• Design, build, and deploy full-stack AI applications using Python and agentic frameworks.
• Deploy AI solutions across AWS, GCP, and Azure platforms.
• Develop and maintain data pipelines using data integration tools.
• Apply ML/NLG techniques and deploy models via cloud ML services.
• Collaborate with business analysts to translate client requirements into AI/ML solutions.
• Stay current with evolving AI frameworks and cloud-native tools.

Skills

Python

Communication

Analytical Thinking

Cloud Platforms

Education

Bachelor's or Master's in CS/Data Science/AI

Tools

LangChain

LangGraph

Azure Data Factory

AWS Glue

Spark

Kafka

Job description

Cognizant is seeking a highly skilled Business & Data Analyst to join the IOA practice. You will design, build, and deploy full‑stack AI applications, translate client needs into scalable AI/ML solutions, and collaborate with analysts and consultants to drive measurable business impact.

Responsibilities include deploying agentic AI across cloud platforms (AWS, GCP, Azure), building data pipelines, and using ML/NLG techniques to support model training and analytics in enterprise environments.