Data and AI Architect

Globallogic; Bengaluru; On-site; INR 2,000,000 - 4,000,000; Full time

Benefits offered by this job

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Fun Perks

Job summary

Globallogic is seeking a Data and AI Architect to lead design and development of advanced data and AI platforms. The role requires hands-on expertise in ML frameworks, big data tooling, and cloud infrastructure, with a focus on scalable solutions and SDLC compliance.

You will collaborate across teams to deliver features in an agile setting, mentor engineers, and contribute to system architecture. The position emphasizes strong communication and a proactive mindset in a multicultural environment.

Qualifications

• 12 years of experience in data/AI architecture.
• BE/BTech in CS with Python AI/Data Eng specialization.
• Hands-on data science technologies and certifications.
• Strong design architecture and SDLC knowledge.
• Proactive, team‑oriented and good communicator.
• Experience with Linux and version control systems.

Responsibilities

• Work in an agile/Scrum environment to deliver high‑quality features.
• Collaborate with cross‑functional teams to build joint features.
• Apply CI/CD practices; ensure secure and efficient code delivery.
• Write clean, maintainable code and follow standards.
• Implement security best practices and use security tools.
• Contribute to architecture reviews and design decisions.

Skills

English Skills

Communication Skills

Collaboration Skills

Coaching and Mentoring

Multicultural Experience

Problem Solving

Linux Knowledge

OOAD and DS

Education

BE/BTech in CS with Python AI/Data Eng specialization

Tools

ML Frameworks (Spark MLlib, TensorFlow, PyTorch, XGBoost, scikit-learn)

Kafka

Spark

Hive, Vertica, Cassandra, S3, Delta Lake

Python, Scala, Java

NewRelic, ELK

Prometheus, Grafana

Kubernetes, ArgoCD, Rancher

Git, Jenkins, Docker, Terraform, Helm

AWS Glue, EMR

Kinesis, DynamoDB, Keyspaces

Job description

Data and AI Architect

Requirements

• Minimum Qualification and Experience Requirements 12 year of experience
• BE Bachelor of Engineering B Tech Bachelor of Technologies M Tech preferably in Computer Science with specialization Python AI Data Engineering
• English Skills
• Hands on Experience or certification in Data science Technologies
• Excellence in Software Design Architecture principles and Software development Life Cycle
• Additional Requirements Physical Demands Region Local Specifications
• Knowledge Sharing and Collaboration Skills Communication Skills Coaching and Mentoring Skills Exposure to multicultural experiences a definite advantage
• Technical Skills
• Working experience in
• ML Frameworks Spark MLlib Tensorflow PyTorch XgBoost Scikit learn etc
• ML Tools Sage maker or Jupyter Notebbok experimentation Sagemaker Pipeline Sage maker Training Model Registry Model Monitor Clarify Model Deployment Batch and Real time inference etc or equivalent from other HCP
• Messaging Platform like Kafka
• Framework eg Spark
• Persistence Technology Hive Vertica Cassandra S3 Delta Lake
• Language Python Scala Java Shell SQL
• Log Management NewRelic ELK
• Monitoring Tool Prometheus Grafana
• Orchestration Tool Kubernetes Rancher ArgoCD
• CI CD Git Docker Jenkins
• Deployment Terraform Docker Helm Kubernetes
• Distributed Computing Apache Spark Hand on experience on Batch and Streaming jobs implementation using AWS Glue EMR or EMR serverless or equivalent in other HCP
• Storage AWS Relational RDS Aurora and Non Relational databases KeySpaces DynamoDB Object Store S3 Kinesis Kafka equivalent services from other HCPs Should also have exposure to multiple file formats CSV Parquet ORC etc
• Additional Skills
• Excellence in Software Design Architecture principles and Software development Life Cycle
• Experience and knowledge of algorithms and data structures OOAD databases
• Proactive motivated works well in team and should be a good communicator
• Good knowledge of Linux would be an added advantage
• Version control and GIT Gerrit Maven knowledge is added advantage
• Ability and interest to work in new areas
• Structured and meticulous in planning and problem solving
• Open flexible and adaptable in outlook and ways of working
• Strong collaborative team building skills
• Strong networking skills
• Exposure to multicultural experiences a definite advantage
• Core Competencies
• Product Development Knowledge
• Product Life Cycle Management Knowledge
• Business Understanding
• Lean and Agile Knowledge and Skills
• Working with People
• Relating and Networking
• Adapting and Responding to Change
• Creating and Innovating
• Delivering Results and Meeting Customer Expectations
• Planning and Organizing

Job Responsibilities

• Job Responsibilities
• Primary Roles and Responsibility
• Working agile within a Scrum team to meet deadlines and produce high quality features
• Working in good collaboration with other teams to develop joint features together
• Good to have
• CICD knowledge
• Code Optimization Write clean maintainable and efficient code while following best practices and coding standards
• Version Control
• Use version control systems eg Git to manage codebase and collaborate effectively with team members
• Should be experienced in creating feature branches and merge request concepts
• Good to know how to create feature tags and play with multiple branches and tagging features
• Security
• Implement security best practices to protect web applications from common security vulnerabilities
• Good to know and have experience in good security code scanning tools like blackduck Fortify etc

What We Offer

Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!

Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.

Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!