Generative AI Architect IRC281230

GlobalLogic

Gurugram District

On-site

INR 4,000,000 - 7,000,000

Full time

7 days ago
Be an early applicant
Application generator

A complete application in a minute — tailored resume and cover letter, ready to send.

Get past ATS filters

Benefits offered by this job

Competitive salary
Family medical insurance
Group term life insurance
Group personal accident insurance
NPS (pension)

Job summary

GlobalLogic is seeking a visionary Generative AI Architect to design, implement, and scale enterprise GenAI solutions. You’ll lead the strategic architecture for LLMs, RAG systems, agentic AI, and end-to-end LLMOps pipelines, transforming how the organization leverages AI for innovation and efficiency.

Responsibilities include architecting scalable GenAI platforms, guiding governance and security, and mentoring teams across data science and engineering to deliver production-grade AI products at

Qualifications

  • 10+ years in software/AI with 6+ years in AI/ML and 2+ years in Generative AI.
  • Hands-on with GenAI tech and LLM orchestration frameworks.
  • Strong expertise in enabling enterprise-scale GenAI platforms.

Responsibilities

  • Architect scalable GenAI solutions using LLMs, RAG, embeddings, and vector DBs.
  • Design LLMOps pipelines for prompt management, evaluation, and monitoring.
  • Lead autonomous agents, copilots, and task orchestration layers.
  • Integrate GenAI components into existing enterprise systems.
  • Develop reusable copilots, chatbots, and AI agents.
  • Define governance, security, and bias controls for responsible AI.
  • Lead end-to-end lifecycle from PoC to production and optimization.
  • Collaborate with data scientists and engineers to convert use cases into AI products.
  • Mentor teams on LLMOps, Agentic AI, and observability.
  • Evaluate new GenAI tools, models, and APIs for adoption.

Skills

LLM Architect
Python
API development
AI strategy
Generative AI
LLMOps
Prompt engineering
Vector databases
Cloud platforms
MLOps tooling

Education

BTech / MS in CS or related field
PhD or research background in AI/NLP (preferred)

Tools

LangChain
LlamaIndex
Haystack
Semantic Kernel
Helicone
Traceloop
LangFuse
Phoenix
Docker
Kubernetes
MLflow
Weights & Biases
AWS SageMaker
Azure OpenAI
GCP Vertex AI
Pinecone
Weaviate
FAISS

Job description

Job Description:

Description

We are seeking a visionary Generative AI Architect to design, implement, and scale enterprise-grade GenAI solutions. You’ll lead the technical strategy and architecture for large language models (LLMs), RAG systems Agentic AI frameworks, and end-to-end LLMOps pipelines transforming how the organization leverages AI for innovation and efficiency.

Requirements

Experience Required Minimum 10 years with 6 years in AI ML and at least 2 years in Generative AI

Technical Skills And Experience
Core Expertise
  • Deep understanding of LLMs Agentic AI RAG pipelines prompt engineering fine tuning and multimodal AI
  • Hands on experience with LangChain LlamaIndex Haystack Semantic Kernel or equivalent frameworks
  • Proven knowledge of LLMOps including
  • Prompt lifecycle management and prompt versioning
  • Model evaluation feedback loops and AB testing
  • LLM observability using Helicone Traceloop LangFuse Phoenix or custom telemetry
  • Deployment automation with CICD for GenAI workloads
  • Experience with Agentic AI frameworks such as CrewAI AutoGen OpenDevin or custom orchestration systems
  • Programming
  • Strong in Python
  • Experience building APIs REST GraphQL gRPC for AI integrations
  • Cloud and Infrastructure
  • Practical experience with AWS SageMaker Azure OpenAI GCP Vertex AI or custom LLM deployment setups
  • Knowledge of Docker Kubernetes MLflow Weights and Biases or equivalent MLOps LLMOps tools
  • Data and Vector Layer
  • Expertise in vector databases such as Pinecone Weaviate Chroma FAISS or Milvus
  • Understanding of data pipelines embeddings management and semantic search optimization
Preferred
  • Familiarity with Transformer architecture tokenization and quantization techniques
  • Exposure to AI safety responsible AI frameworks and ethical model governance
Soft Skills
  • Strategic and analytical mindset with strong problem solving skills
  • Ability to simplify complex AI concepts for business leaders
  • Excellent leadership communication and mentorship abilities
  • Passionate about innovation and driving AI transformation at scale
Education
  • BTech MTech MS in Computer Science AI Data Science or a related field
  • PhD or research background in AI NLP preferred but not mandatory
Job responsibilities
Key Responsibilities
  • Architect scalable GenAI solutions leveraging LLMs RAG fine tuning embeddings and vector databases
  • Design and operationalize LLMOps pipelines covering prompt management evaluation monitoring and continuous improvement of model performance
  • Architect and build Agentic AI systems including autonomous agents copilots and task orchestration layers that reason plan and act dynamically
  • Integrate GenAI components models APIs knowledge bases orchestration layers into existing enterprise systems
  • Build reusable frameworks for copilots chatbots and AI agents with focus on scalability and modularity
  • Define governance and compliance for responsible AI use ensuring model security bias control and data protection
  • Lead end to end AI lifecycle from proof of concept to production deployment and post deployment optimization
  • Collaborate cross functionally with data scientists ML engineers and business teams to convert use cases into working AI products
  • Mentor teams on LLMOps Agentic AI architectures prompt optimization and AI observability
  • Evaluate and integrate emerging GenAI and Agentic AI tools open weight models and API ecosystems
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, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Get your free, confidential resume review.
or drag and drop your file here.
Similar jobs

Similar jobs worth comparing

Senior AI Engineer – Generative AI & Agentic AI IRC295269
Senior AI Engineer – Generative AI & Agentic AI IRC295269

GlobalLogic • Bengaluru

On-site
INR 3,500,000 - 6,000,000
Flexible work schedules
Work from home options
Paid time off
Generative AI Engineer (4 to 8 years of experience) IRC279043
Generative AI Engineer (4 to 8 years of experience) IRC279043

GlobalLogic • Gurugram District

On-site
INR 2,400,000 - 4,000,000
Competitive salary
Work from home flexibility
Annual performance bonuses
+1
Java Architect with Gen AI IRC301496
Java Architect with Gen AI IRC301496

Hitachi Vantara Corporation • Bengaluru

On-site
INR 3,000,000 - 5,400,000
Generative AI Engineer (4 to 8 years of experience) IRC279043
Generative AI Engineer (4 to 8 years of experience) IRC279043

GlobalLogic • Gurgaon

On-site
INR 2,500,000 - 4,200,000
Flexible work schedules
Work from home options
Learning & Development programs
+2
Senior Full Stack AI Engineer (Agentic AI & .NET SDKs) IRC293686
Senior Full Stack AI Engineer (Agentic AI & .NET SDKs) IRC293686

GlobalLogic • Bengaluru

On-site
INR 1,500,000 - 2,500,000
Culture of caring
Learning and development programs
Flexibility in work arrangements
Forward Deployed Engineer IRC302349
Forward Deployed Engineer IRC302349

GlobalLogic • Bengaluru

On-site
INR 4,000,000 - 7,000,000
Flexible work schedules
Work from home options
Paid time off & holidays
+2
Forward Deployed Engineer IRC302347
Forward Deployed Engineer IRC302347

GlobalLogic • Bengaluru

On-site
INR 3,500,000 - 8,000,000
Flexible work schedules
Work from home options
Competitive salaries
+4
Forward Deployed Engineer IRC302348
Forward Deployed Engineer IRC302348

GlobalLogic • India

On-site
INR 3,500,000 - 7,000,000
Flexible work schedules
Work from home option
Paid time off
Forward Deployed Engineer IRC299929
Forward Deployed Engineer IRC299929

GlobalLogic • Bengaluru

On-site
INR 5,500,000 - 9,500,000
Flexible work schedules
Work from home opportunities
Professional development
Senior Architect IRC302165
Senior Architect IRC302165

GlobalLogic • Chennai District

On-site
INR 3,500,000 - 6,000,000
Flexible work schedules
Work from home options
Paid time off