Job Summary
AI is reshaping the industries worldwide, and businesses are already getting ready to invest in Generative AI and Agentic AI to enhance their business processes and customer interactions. This means that there is a high demand for skilled AI professionals. Cognizant's new recruitment initiative, a wave of favorable opportunities that you will enjoy, is ideal for you if you are excited about Artificial Intelligence, Large Language Models (LLMs), cloud technologies and software engineering.
Cognizant is looking for candidates as AI Engineer – Forward Deployed Engineer for its Bangalore and Chennai Centers. It's an exciting hybrid position best suited for recent school grads and those with up to 0-2 years of experience that are looking to build enterprise AI solutions, work with clients from across the globe and develop real-world experience using the newest AI innovations. This is a good job for someone who wants to pursue a long-term career in the field of Artificial Intelligence.
About Cognizant
Cognizant is among the most prominent technology services and consulting firms that assist businesses to modernize and look for innovation within technology, processes and consumer expertise. The company provides innovative offerings in fields such as Artificial Intelligence, cloud computing, software engineering, cybersecurity, automation, analytics and digital transformation.
Cognizant is considered as a trusted technology partner worldwide, serving their clients across multiple industries ranging from banking to health care, insurance to retail, manufacturing to telecom and life sciences. The firm is always investing in Generative AI and enterprise AI solutions, making for a great place to work if you're passionate and interested in next generation technology.
Job Details
| Company Name | Cognizant |
| Role | AI Engineer – Forward Deployed Engineer |
| Experience | 0–2 Years |
| Job Location | Bangalore & Chennai |
| Eligible Batches | 2024, 2025 & 2026 |
Eligibility Criteria
Applicants will be considered if they have the following attributes:
-
Bachelor's or master's degree in computer science, Information Technology or
AI, Data Science, Software Engineering or related field.
Strong programming knowledge. - Good analytical and problem-solving abilities.
- Communication and teamwork: Excellent communication skills and teamwork.
- It's much more than just a curiosity anymore – it's about Artificial Intelligence and cloud technologies.
Internships, AI projects, Git hub Repository, hackathon experience will be a plus.
About the Role
As a Forward Deployed Engineer, you'll design, develop, and deploy real-life Generative AI and Agentic AI applications directly in clients' systems. You'll work with architects, software developers, and business partners to develop concepts that will bring innovative solutions to life that can be scaled up and be ready for production.
This role blends a number of domains including Artificial Intelligence, software development, cloud architecture and client engagement to aid a practitioner in addressing complex business problems leveraging today's most powerful AI capabilities.
Key Responsibilities
- Create and release Agentic AI workflows.
- Create end-to-end RAG pipelines.
- Use retrieval optimization techniques.
- Draw and design vector database solutions.
- Institute AI Products.
- Use observability for monitoring AI systems.
- Develop part-time working relationships with enterprise clients.
- Build working prototypes, demo.
- Attend Architecture discussions and Design review sessions.
- Cultivate the highest possible performance and reliability of AI applications on an ongoing basis.
- AI & Agentic Technologies
You will learn hands on with:
- Lang Graph
- Crew AI
- AutoGen
- AWS Bedrock Agents
- Retrieval-Augmented Generation (RAG)
- Vector Databases
- Prompt Engineering
- ULTRA-NLP 6: Large Language Models (LLMs)
- LLM Evaluation
The technologies are popular for building enterprise-level AI products and intelligent automation solutions.
Required Technical Skills
Candidates should have knowledge of:
- Python
- JavaScript
- TypeScript
- REST APIs
- Git
- CI/CD
- Docker
- SQL
- Amazon Web Services (AWS)
- Microsoft Azure
- Google Cloud Platform (GCP)
Consideration of concepts surrounding cloud computing, APIs, software development and containerization will be helpful in interviews and undertaking a project.
Preferred Qualifications
The right candidate would be the one who could possess:
- Firsthand experience building AI projects with Generative AI.
- Understanding of AI Agent Framework and orchestration platforms.
- Knowledge of various tools for LLM observability.
- AI applications showcased by the GitHub projects.
- Hackathon or coding competitions.
- Good analytical and problem-solving skills.
- Skill in working in high pressure situations.
- Good communication people skills.
Why Join Cognizant?
At Cognizant, you will find great learning, innovation and growth opportunities as well as participate in enterprise AI transformation projects.
Some of the main benefits are:
- Develop high end Generative AI Projects.
- Work with overseas enterprise clients.
- Engage into one of the best learning environments in the industry.
- Give Charisma programs that support charismatics.
- Promising career prospects.
- Exposure to large-scale enterprise deployments of AI.
- Opportunity to work with experienced AI architects and engineers.
Employee Benefits
Staff are provided with a number of benefits such as:
- Financial Wellbeing Programs.
- The emphasis should be on healthcare and Mental Wellness Support.
- Adaptable Career Development experiences.
- Learning Platforms and Professional Certifications.
- Global Career Mobility.
- Inclusive Work Culture.
- Ongoing mentoring and leadership support.
- Good Work-Life Balance programmers.
Expected Selection Process
The official recruitment process for a particular project can differ, but the typical steps include:
- Online Application.
- Resume Shortlisting.
- Assignment: Online Assessment (if applicable).
- Technical Interview.
- Discussions on AI and Programming.
- Managerial Interview.
- HR Interview.
- Provide Letter of Reference and Background check.
Application Process
Any candidate interested should apply via the Cognizant Careers website. Before you apply, refresh your resume with your educational background and learn a bit about your achieved results, technical expertise, internships, certifications, ironically, your own Github, and list AI-specific projects you've worked on.
Your chances of being shortlisted can be enhanced by doing personal applications for AI, experience gained at a hackathon or participation in an open-source project.
Preparation Tips
Aspirants appearing for the recruitment should be focused on:
- Python programming.
- Data Structure and Algorithm.
- SQL fundamentals.
- REST APIs.
- Docker.
- Version control and Git.
- Cloud platforms (AWS, Azure, GCP).
- Prompt Engineering.
- Large language Models (LLMs).
- Retrieval-Augmented Generation (RAG).
- Vector Databases.
- Lang Graph, Crew AI, AutoGen and AWS Bedrock.
- Communication and problem-solving abilities.
Creating realistic AI projects, publishing them on GitHub will greatly boost your profile during a job search.
Conclusion
The Cognizant Recruitment 2026 for the position of AI Engineer – FD EI is a great opportunity for freshers and young job hunters interested in specializing in Artificial Intelligence and enterprise Software Engineering. Cognizant equips its workers with access to state-of-the-art AI innovations, worldwide clients, cloud platforms, mentorship initiatives, and constant knowledge acquisition, creating a brilliant setting for a thriving career in the swiftly evolving AI landscape. Aspiring candidates are required to perform well and arm themselves with their technical skills and apply as soon as possible through the official Cognizant Careers portal -
