AI Engineer at Tata Consultancy Services

University of Delaware; Plano (TX); On-site; USD 60,000 - 90,000; Full time

Job summary

University of Delaware seeks an entry-level AI Developer to assist in designing, developing, and implementing AI-driven solutions. You will work under senior AI consultants to deploy models on cloud platforms and collaborate with data scientists and engineers to translate business needs into technical AI solutions.

Responsibilities include coding in Python, Java, C++, or R; integrating models into applications; data cleansing; and ensuring responsible AI practices while gaining mentorship in

Qualifications

• Master’s Degree preferred in engineering, computer science, data science, AI, or related field.

Responsibilities

• Write code to implement AI algorithms in Python, R, Java, or C++.
• Integrate AI models into applications and deploy to production on cloud platforms.
• Test, troubleshoot, and optimize AI algorithms for performance and accuracy.
• Collaborate with data scientists and engineers to translate business needs into AI solutions.
• Analyze business requirements and translate them into AI-based technical solutions.
• Develop AI applications in Python and Java with scalable, maintainable design.
• Perform data analysis, cleansing, and exploratory analysis for AI/ML use cases.
• Support development and testing of AI models, prompts, and workflows.
• Adhere to security practices and responsible AI guidelines.

Skills

Python

Java

C++

R

Machine Learning

Deep Learning

NLP

Computer Vision

AWS

GCP

Azure

Docker

Kubernetes

Git

GitHub

Education

Master’s Degree (preferred) in Engineering, CS, Data Science, AI

Tools

Docker

Kubernetes

Git

GitHub

AWS

Google Cloud AI

Microsoft Azure

Job description

Job Title: AI Developer (Entry-Level)

Role Overview

The AI Developer will support the design, development, and implementation of AI-driven solutions that address business problems and enable data-driven decision-making. The role combines hands‑on technical work with analytical thinking and client‑focused solutioning under the guidance of senior AI consultants and architects.

Key Responsibilities

• Writing code (predominantly Python, R, Java, or C++) to implement AI algorithms.
• Integrating AI models into existing software applications and deploying them to production environments (e.g., cloud platforms like AWS, Azure).
• Testing, troubleshooting, and tuning algorithms to enhance performance, accuracy, and efficiency.
• Working with data scientists, software engineers, and stakeholders to translate business needs into technical solutions.
• Assist in analyzing business requirements and translating them into AI-based technical solutions.
• Develop and enhance AI applications using Python and Java, with a focus on scalable and maintainable design.
• Perform data analysis, data cleansing, and exploratory analysis to support AI/ML use cases.
• Support development and testing of AI models, prompts, and workflows.
• Adhere to organizational standards, security practices, and responsible AI guidelines.

Qualification and Specialization

Qualification

• Master’s Degree (preferred) in Engineering, Computer Science, Data Science, AI, or a related discipline.

Specialization / Skill Set

• High proficiency in Python (essential), along with Java, C++, or R.
• Strong understanding of Machine Learning (supervised/unsupervised), Deep Learning, Neural Networks, Natural Language Processing (NLP), and Computer Vision.
• Familiarity with AWS, Google Cloud AI, or Microsoft Azure for deployment, along with Docker and Kubernetes.
• Proficiency in Git and GitHub.

Unique Experience from this Role

• Exposure to AI solution development, working at the intersection of technology and business.
• Hands‑on experience with OpenAI and generative AI technologies in enterprise use cases.
• Opportunity to work on real client problems in regulated domains such as healthcare.
• Experience in data‑driven storytelling, insights generation, and solution recommendation.
• Practical understanding of responsible AI, governance, and ethical AI practices.
• Mentorship from experienced AI consultants and architects.

Learning Outcomes

By the end of the duration, the AI Developer will:

• Understand how to analyze business problems and map them to AI solutions.
• Gain practical experience in Python‑based AI development and OpenAI integrations.
• Learn to perform effective data analysis and insight generation.
• Develop foundational consulting skills such as requirement analysis, documentation, and stakeholder communication.
• Build awareness of AI solution lifecycle—from ideation to deployment.
• Be prepared to transition into roles such as AI Consultant, Associate AI Engineer, or Generative AI Specialist.