Generative AI Architect IRC281230

GlobalLogic

Gurugram District

On-site

INR 3,000,000 - 4,000,000

Full time

14 days+

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Benefits offered by this job

Inclusive culture of acceptance
Career development opportunities
Flexibility in work arrangements
Integrity-focused organization

Job summary

A leading digital engineering company in Gurugram is seeking a Generative AI Architect to design and scale enterprise-grade AI solutions. The ideal candidate will have 10+ years of experience in AI, focusing on LLMs, RAG systems, and must possess strong programming skills in Python. This role emphasizes leadership in AI transformation and collaboration with cross-functional teams in an innovative environment.

Qualifications

  • Minimum 10 years of experience, with 6 in AI/ML and 2 in Generative AI.
  • BTech, MTech, or MS in Computer Science, AI, or a related field; PhD preferred.

Responsibilities

  • Architect scalable GenAI solutions leveraging LLMs and RAG.
  • Design and operationalize LLMOps pipelines.
  • Integrate GenAI components into existing enterprise systems.
  • Build reusable frameworks for AI agents and chatbots.
  • Define governance for responsible AI use.

Skills

Deep understanding of LLMs
Agentic AI
RAG pipelines
Prompt engineering
Fine-tuning and multimodal AI
Python
Building APIs (REST, GraphQL, gRPC)
AWS SageMaker
Azure OpenAI
GCP Vertex AI
Docker
Kubernetes
Vector databases
Data pipelines

Education

BTech in Computer Science
MTech in Computer Science
MS in Computer Science

Tools

LangChain
LlamaIndex
Haystack

Job description

Agentic GenAI, AWS, Azure OpenAI, gcp, Generative AI - LLMs, Google Cloud VertexAI, langchain, Logical Thinker, NLP, openai, prompt engineering, Python, Retrieval-Augmented Generation (RAG), Solution Architecture, SQL, Vector Databases

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 CI/CD 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 & 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

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula and hands‑on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem‑solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting‑edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High‑trust organization. We are a high‑trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

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.

You can find more information about how GlobalLogic processes your personal data and what your rights are in the Recruitment Privacy Notice.

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