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Generative AI Solutions Architect Job Opening In Industrial Area – Now Hiring EXL


Job description

EXL (NASDAQ: EXLS) is a $7 billion public-listed NASDAQ company and a rapidly expanding global digital data-led AI transformation solutions company with double digit growth.

EXL Digital division spearheads the development and implementation of Generative AI (GenAI) business solutions for our clients in Banking & Finance, Insurance, and Healthcare.

As a global leader in analytics, digital transformation, and AI innovation, EXL is committed to helping clients unlock the potential of generative AI to drive growth, efficiency, and innovation.


Job Summary

We are seeking a visionary Generative AI Architect with strong hands-on experience to lead the design and deployment of intelligent solutions leveraging Large Language Models (LLMs), agentic frameworks, and advanced NLP techniques.

This role emphasizes deep expertise in LangChain, LangGraph, agentic workflows to build scalable, enterprise-grade generative AI systems across insurance, healthcare, and financial services.

Key Responsibilities:

  • Architect modular GenAI solutions using LLMs (e.G., GPT, Claude, LLaMA, Mistral) with a focus on LangChain, LangGraph and RAG.
  • Design and implement agent-based systems capable of reasoning, tool use, API integration, and memory management using LangChain agents and LangGraph-based workflows.
  • Design robust, cloud-native AI platforms capable of handling large-scale data pipelines and complex machine learning models (AWS/Azure/GCP)
  • Develop and prototype intelligent assistants, document automation systems, and NLP tools.
  • Build robust RAG architectures with vector databases (e.G., FAISS, Pinecone) and embedding models for domain-specific search and document intelligence.
  • Translate complex business problems into generative AI use cases in areas such as underwriting automation, claims triage, policy analysis, and customer support.
  • Collaborate with cross-functional teams including data scientists, engineers, and domain SMEs to drive successful AI solution delivery.
  • Continuously evaluate and benchmark LLMs, agent orchestration tools, and GenAI platforms (e.G., OpenAI, Hugging Face, LlamaIndex).
  • Optimize performance and scalability for LLM-based systems deployed in production, ensuring low latency, secure data handling, and ethical AI compliance.
  • Evangelize GenAI innovations internally and with clients via PoCs, demos, and technical workshops.

Good to Have:

  • Develop structured AI pipelines using the MCP framework to clearly define model invocation logic (Model), contextual understanding and memory (Context), and input/output protocols (Protocol) for repeatable, enterprise-scale use cases

Qualifications:

  • 7+ years of experience in AI/ML, including 3+ years specializing in NLP and Generative AI.
  • Proven hands-on expertise with LLMs such as GPT, Claude, LLaMA, Mistral, and BERT, including both open-source and commercial APIs (e.G., OpenAI, Anthropic).
  • Deep understanding of LLM architecture and operations, including prompt engineering, function calling, tool use, memory management, context handling, and token optimization.
  • Strong experience building Retrieval-Augmented Generation (RAG) pipelines using vector databases (e.G., FAISS, Pinecone, Weaviate) and embedding models.
  • Proficient with GenAI frameworks including LangChain, LangGraph, and LlamaIndex, with a solid grasp of agent orchestration and workflow design.
  • Advanced programming skills in Python, with hands-on experience using PyTorch, Transformers, and the broader Hugging Face ecosystem.
  • Demonstrated ability to design, prototype, and deploy enterprise-ready AI solutions in production environments.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Generative AI Potential: Insight & Career Growth Guide


Real-time Generative AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Generative AI in Industrial Area, India, highlighting market share and opportunities for professionals in Generative AI roles.

114435 Jobs in India
114435
301 Jobs in Industrial Area
301
Download Generative Ai Jobs Trends in Industrial Area and India

Are You Looking for Generative AI Solutions Architect Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at EXL adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Generative AI Solutions Architect Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Industrial Area. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Generative AI Solutions Architect?

Key qualifications for Generative AI Solutions Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Generative AI Solutions Architect Job Success

EXL interview tips for Generative AI Solutions Architect

Here are some tips to help you prepare for and ace your Generative AI Solutions Architect job interview:

Before the Interview:

Research: Learn about the EXL's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Generative AI Solutions Architect interview at EXL, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the EXL's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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