Python-AI ML (GenAI) Senior Engineer

Tata Consultancy Services; Phoenix (AZ); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Discretionary annual incentive

Comprehensive medical coverage

Maternal & parental leaves

Insurance options: auto & home

Job summary

Tata Consultancy Services in Phoenix, AZ invites a Senior Engineer to lead Python-based AI/ML initiatives. You will design and implement GenAI solutions from concept to production, mentor teams, and collaborate with product and architecture stakeholders. The role demands 7+ years of experience, strong Java/Python skills, and hands-on CI/CD, data analytics, and scalable AI architectures. Competitive base salary and extensive benefits.

Qualifications

• 7+ years of experience in software engineering
• Proficiency in Python and Java
• Experience with AI/ML, DL, and data analytics
• Experience with CI/CD and Agile development

Responsibilities

• Design and implement AI/ML solutions from POC to production
• Translate business requirements into scalable AI architectures
• Own model lifecycle: training, deployment, monitoring, retraining
• Deploy models into production with CI/CD pipelines
• Monitor model performance, drift, latency, and cost
• Mentor junior AI/ML engineers and review code/designs
• Lead technical discussions and architecture reviews
• Collaborate with Product Owners, Architects, and PMs

Skills

Python

Java

Leadership

Communication

CI/CD

Distributed systems

Data analytics

Algorithms

Tools

Spring Boot

Kafka

Maven

Git

Jenkins

Job description

Job Description

Role - Python-AI ML (GenAI) Senior Engineer

Experience Required -7+ Years

• Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java, Python
• Hands-on experience with Spring Boot, Micro-services, Kafka, Relational and/or NoSQL databases.
• Experience in conversational interfaces, chatbots, machine learning, deep learning, and data analytics.
• Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
• Experience with automated release management using Maven, Salt, Git, Jenkins
• Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux
• Good understanding of data structures, algorithms, and design patterns
• Great written communication and documentation abilities
• Looks proactively beyond the obvious for continuous improvement opportunities.
• Knowledge & experience of Contact center ecosystem/Genesys Framework and Architecture, familiarity with the Genesys ecosystem would be preferrable.
• Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
• Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.

Roles & Responsibilities

• Design and implement AI/ML solutions from POC to production
• Translate business requirements into scalable AI architectures
• Own model lifecycle: training, deployment, monitoring, retraining
• Deploy models into production with CI/CD pipelines
• Monitor model performance, drift, latency, and cost
• Ensure reliability, scalability, and security of AI systems
• Mentor junior AI/ML engineers and review code/designs
• Lead technical discussions and architecture reviews
• Provide guidance on best practices and standards
• Work closely with Product Owners, Architects, and Program Managers
• Present technical solutions to business and customer stakeholders
• Support proposal development and technical estimations
• Ensure AI solutions meet enterprise governance, security, and compliance standards

Base Salary Range : $100,000 to $130,000 Per Annum

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 & Cert ification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.