AI Developer Enterprise AI and Generative AI
Tata Consultancy Services
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Bloomfield, CT
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0
0
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Not Applicable
Posted April 17, 2026
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Responsibilities
Responsibilities
- Develop AI enabled application features and services using modern programming practices.
- Implement intelligent workflows that process structured and unstructured data.
- Build reusable, modular components that can be scaled across multiple use cases.
- Generative AI Implementation
- Develop applications that leverage large language models and other generative techniques.
- Implement retrieval based approaches to improve response accuracy and relevance.
- Design prompt templates and contextual handling mechanisms to improve AI output quality.
- System Integration
- Integrate AI capabilities into existing enterprise systems using APIs and service based architectures.
- Work with multiple data sources, including documents, databases, and knowledge repositories.
- Ensure AI services are secure, reliable, and performant.
- Quality, Optimization & Reliability
- Continuously improve AI output quality through tuning, evaluation, and testing.
- Optimize latency, throughput, and operational cost of AI features.
- Implement logging, monitoring, and error handling to support production stability.
- Collaboration & Delivery
- Work closely with architects, data engineers, product owners, and UX teams.
- Contribute to proof of concepts and help evolve them into scalable solutions.
- Stay current with advancements in AI and apply relevant innovations responsibly.
Not Met Priorities
What still needs stronger evidence
Requirements
- Generative AI Implementation
- Programming & Engineering
- Strong hands on experience with Python or equivalent programming languages.
- Solid understanding of software engineering principles, APIs, and microservices.
- Experience writing clean, maintainable, and testable code.
- AI & Machine Learning
- Practical experience developing AI or machine learning–based solutions.
- Understanding of generative AI concepts, embeddings, semantic search, and contextual retrieval.
- Familiarity with model inference, prompt design, and output evaluation.
- Data Handling
- Experience working with structured and unstructured data.
- Knowledge of data preprocessing, transformation, and text handling techniques.
- Exposure to cloud based application development.
- Basic understanding of deployment pipelines, containers, and runtime m onitoring.
- 5–12 years of overall software development experience (flexible based on capability).
- Demonstrated experience delivering AI enabled features in real world applications.
Preferred Skills
- Cloud & DevOps (Preferred)
- Basic understanding of deployment pipelines, containers, and runtime m onitoring.
Education
- (Not required) – Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
- (Not required) – Qualifications: BACHELOR OF COMPUTER SCIENCE
Job Description
Must Have Technical/Functional Skills
AI & Application Development
Develop AI enabled application features and services using modern programming practices.
Implement intelligent workflows that process structured and unstructured data.
Build reusable, modular components that can be scaled across multiple use cases.
Generative AI Implementation
Develop applications that leverage large language models and other generative techniques.
Implement retrieval based approaches to improve response accuracy and relevance.
Design prompt templates and contextual handling mechanisms to improve AI output quality.
System Integration
Integrate AI capabilities into existing enterprise systems using APIs and service based architectures.
Work with multiple data sources, including documents, databases, and knowledge repositories.
Ensure AI services are secure, reliable, and performant.
Quality, Optimization & Reliability
Continuously improve AI output quality through tuning, evaluation, and testing.
Optimize latency, throughput, and operational cost of AI features.
Implement logging, monitoring, and error handling to support production stability.
Collaboration & Delivery
Work closely with architects, data engineers, product owners, and UX teams.
Contribute to proof of concepts and help evolve them into scalable solutions.
Stay current with advancements in AI and apply relevant innovations responsibly.
________________________________________
Required Technical Skills
Programming & Engineering
Strong hands on experience with Python or equivalent programming languages.
Solid understanding of software engineering principles, APIs, and microservices.
Experience writing clean, maintainable, and testable code.
AI & Machine Learning
Practical experience developing AI or machine learning–based solutions.
Understanding of generative AI concepts, embeddings, semantic search, and contextual retrieval.
Familiarity with model inference, prompt design, and output evaluation.
Data Handling
Experience working with structured and unstructured data.
Knowledge of data preprocessing, transformation, and text handling techniques.
Cloud & DevOps (Preferred)
Exposure to cloud based application development.
Basic understanding of deployment pipelines, containers, and runtime m onitoring.
Experience & Qualifications
5–12 years of overall software development experience (flexible based on capability).
Demonstrated experience delivering AI enabled features in real world applications.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
Salary Range $120000-$150000 year
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications: BACHELOR OF COMPUTER SCIENCE
Must Have Technical/Functional Skills
AI & Application Development
Develop AI enabled application features and services using modern programming practices.
Implement intelligent workflows that process structured and unstructured data.
Build reusable, modular components that can be scaled across multiple use cases.
Generative AI Implementation
Develop applications that leverage large language models and other generative techniques.
Implement retrieval based approaches to improve response accuracy and relevance.
Design prompt templates and contextual handling mechanisms to improve AI output quality.
System Integration
Integrate AI capabilities into existing enterprise systems using APIs and service based architectures.
Work with multiple data sources, including documents, databases, and knowledge repositories.
Ensure AI services are secure, reliable, and performant.
Quality, Optimization & Reliability
Continuously improve AI output quality through tuning, evaluation, and testing.
Optimize latency, throughput, and operational cost of AI features.
Implement logging, monitoring, and error handling to support production stability.
Collaboration & Delivery
Work closely with architects, data engineers, product owners, and UX teams.
Contribute to proof of concepts and help evolve them into scalable solutions.
Stay current with advancements in AI and apply relevant innovations responsibly.
________________________________________
Required Technical Skills
Programming & Engineering
Strong hands on experience with Python or equivalent programming languages.
Solid understanding of software engineering principles, APIs, and microservices.
Experience writing clean, maintainable, and testable code.
AI & Machine Learning
Practical experience developing AI or machine learning–based solutions.
Understanding of generative AI concepts, embeddings, semantic search, and contextual retrieval.
Familiarity with model inference, prompt design, and output evaluation.
Data Handling
Experience working with structured and unstructured data.
Knowledge of data preprocessing, transformation, and text handling techniques.
Cloud & DevOps (Preferred)
Exposure to cloud based application development.
Basic understanding of deployment pipelines, containers, and runtime m onitoring.
Experience & Qualifications
5–12 years of overall software development experience (flexible based on capability).
Demonstrated experience delivering AI enabled features in real world applications.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.
Salary Range $120000-$150000 year
TCS Employee Benefits Summary
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications: BACHELOR OF COMPUTER SCIENCE