Senior Architect

Description:

Role Overview
Lead end-to-end architecture for enterprise-grade AI and web platforms, driving agentic solution design, distributed system implementation, and cross-functional delivery at scale.

Core Responsibilities
Architecture & Design
Define end-to-end architecture for enterprise applications using advanced technologies
Analyze system relationships, flows, and inter-system dependencies
Design reusable, scalable, pluggable frameworks (Angular/Node/AWS)
Evaluate and recommend technology updates and modernization paths
AI/ML Engineering
Design and deploy agentic solutions with measurable, business-mapped outcomes
Lead large-scale distributed AI systems — training, fine-tuning, SLM/LLM serving (batch + real-time)
Implement orchestration pipelines for end-to-end AI workflows in production
Stay current on generative AI, deep learning, and novel model architectures
Software Engineering Quality
Drive code analysis, static analysis tooling, and quality gates
Implement non-functional requirements: performance, scalability, reliability, extensibility
Conduct performance analysis and debugging across the full stack
Convert cyber security product requirements into technical specifications
Leadership & Collaboration
Partner with onshore SMEs, business stakeholders, and global teams
Build and sustain high-performing team culture
Communicate complex model designs and outcomes to non-technical audiences
Support platform incident triage and resolution
Deliver projects on schedule in cross-functional environments

Required Qualifications
Area
Requirement
Education
Bachelor's degree (CS, Engineering, or related)
Total Experience
8+ years
Web/Full-Stack
8+ years — REST API, AWS, GitLab, DynamoDB, Oracle PL/SQL
Customer-Facing Apps
4+ years designing and managing production applications
AI/ML
Hands-on LLM/SLM fine-tuning, model serving, and orchestration at scale
Languages
Python, Java, C/C++
AI Frameworks
TensorFlow, PyTorch
Cloud
AWS architecture and services
Security
Static scan tools, security requirement translation

Preferred Qualifications
AWS Certification
Proven track record deploying agentic workflows with documented business impact
Ability to explain AI algorithms at both code and mathematical levels

Key Skills
AWS Python Java C/C++ LLM/SLM Agentic AI Distributed Systems System Design DynamoDB GitLab TensorFlow PyTorch Oracle PL/SQL REST API

Good to have:Angular,Node JS

Requirements:

Role Overview
Lead end-to-end architecture for enterprise-grade AI and web platforms, driving agentic solution design, distributed system implementation, and cross-functional delivery at scale.

Core Responsibilities
Architecture & Design
Define end-to-end architecture for enterprise applications using advanced technologies
Analyze system relationships, flows, and inter-system dependencies
Design reusable, scalable, pluggable frameworks (Angular/Node/AWS)
Evaluate and recommend technology updates and modernization paths
AI/ML Engineering
Design and deploy agentic solutions with measurable, business-mapped outcomes
Lead large-scale distributed AI systems — training, fine-tuning, SLM/LLM serving (batch + real-time)
Implement orchestration pipelines for end-to-end AI workflows in production
Stay current on generative AI, deep learning, and novel model architectures
Software Engineering Quality
Drive code analysis, static analysis tooling, and quality gates
Implement non-functional requirements: performance, scalability, reliability, extensibility
Conduct performance analysis and debugging across the full stack
Convert cyber security product requirements into technical specifications
Leadership & Collaboration
Partner with onshore SMEs, business stakeholders, and global teams
Build and sustain high-performing team culture
Communicate complex model designs and outcomes to non-technical audiences
Support platform incident triage and resolution
Deliver projects on schedule in cross-functional environments

Required Qualifications
Area
Requirement
Education
Bachelor's degree (CS, Engineering, or related)
Total Experience
8+ years
Web/Full-Stack
8+ years — REST API, AWS, GitLab, DynamoDB, Oracle PL/SQL
Customer-Facing Apps
4+ years designing and managing production applications
AI/ML
Hands-on LLM/SLM fine-tuning, model serving, and orchestration at scale
Languages
Python, Java, C/C++
AI Frameworks
TensorFlow, PyTorch
Cloud
AWS architecture and services
Security
Static scan tools, security requirement translation

Preferred Qualifications
AWS Certification
Proven track record deploying agentic workflows with documented business impact
Ability to explain AI algorithms at both code and mathematical levels

Key Skills
 AWS Python Java C/C++ LLM/SLM Agentic AI Distributed Systems System Design DynamoDB GitLab TensorFlow PyTorch Oracle PL/SQL REST API

Good to have:Angular,Node JS

Job Responsibilities:

Role Overview
Lead end-to-end architecture for enterprise-grade AI and web platforms, driving agentic solution design, distributed system implementation, and cross-functional delivery at scale.

Core Responsibilities
Architecture & Design
Define end-to-end architecture for enterprise applications using advanced technologies
Analyze system relationships, flows, and inter-system dependencies
Design reusable, scalable, pluggable frameworks (Angular/Node/AWS)
Evaluate and recommend technology updates and modernization paths
AI/ML Engineering
Design and deploy agentic solutions with measurable, business-mapped outcomes
Lead large-scale distributed AI systems — training, fine-tuning, SLM/LLM serving (batch + real-time)
Implement orchestration pipelines for end-to-end AI workflows in production
Stay current on generative AI, deep learning, and novel model architectures
Software Engineering Quality
Drive code analysis, static analysis tooling, and quality gates
Implement non-functional requirements: performance, scalability, reliability, extensibility
Conduct performance analysis and debugging across the full stack
Convert cyber security product requirements into technical specifications
Leadership & Collaboration
Partner with onshore SMEs, business stakeholders, and global teams
Build and sustain high-performing team culture
Communicate complex model designs and outcomes to non-technical audiences
Support platform incident triage and resolution
Deliver projects on schedule in cross-functional environments

Required Qualifications
Area
Requirement
Education
Bachelor's degree (CS, Engineering, or related)
Total Experience
8+ years
Web/Full-Stack
8+ years — REST API, AWS, GitLab, DynamoDB, Oracle PL/SQL
Customer-Facing Apps
4+ years designing and managing production applications
AI/ML
Hands-on LLM/SLM fine-tuning, model serving, and orchestration at scale
Languages
Python, Java, C/C++
AI Frameworks
TensorFlow, PyTorch
Cloud
AWS architecture and services
Security
Static scan tools, security requirement translation

Preferred Qualifications
AWS Certification
Proven track record deploying agentic workflows with documented business impact
Ability to explain AI algorithms at both code and mathematical levels

Key Skills
AWS Python Java C/C++ LLM/SLM Agentic AI Distributed Systems System Design DynamoDB GitLab TensorFlow PyTorch Oracle PL/SQL REST API

Good to have:Angular,Node JS

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!