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!