Senior Architect

Job 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!

About GlobalLogic

GlobalLogic is a full-lifecycle product development services leader that combines chip-to-cloud software engineering expertise and vertical industry experience to help our customers design, build, and deliver their next-generation products and digital experiences. We expertly integrate design, complex engineering, and agile delivery capabilities to deliver superior business outcomes for global brands in telecom, automotive, healthcare, technology, media and entertainment, manufacturing, and semiconductor industries.

Headquartered in Silicon Valley, GlobalLogic employs over 25,000 designers and engineers across the globe. Analysts like NASSCOM and Zinnov have recognized us for being a top company in our field, and we are consistently nominated as a preferred employer by both global HR consultative firms and local job boards. By creating a work environment that is exciting and flexible, and by fostering growth through ongoing learning and development programs, we empower our employees to achieve both their professional and personal goals.

At GlobalLogic, we make amazing products — and careers.