AI Enterprise Architect
India
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Job Description
AI Enterprise Architect
Hyderabad, Telangana

Job Summary

Implement generative AI models on AWS, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Optimizing existing generative AI models on AWS for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Implement NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of GenAI models. -Experience working with cloud based platforms (AWS preferred) -Strong problem-solving and analytical skills. Experience on Multi Agent Systems, Multi Agent Orchestration is desirable
AI DevOps & ML Ops: Deep expertise in developing, testing, deploying, and monitoring AI applications and infrastructure using Git and robust CI/CD pipelines.
AWS Agentic Workflows: Experience using AWS Bedrock and Agent Core to build AI agents that can reason and execute tasks.
Strong Coding: Proficiency in Python and Node.js for backend development and API integration.
Technical Stack Requirements
AI & ML: PyTorch, Multi Agent Systems, LangChain, Amazon Bedrock, RAG, Natural Language Processing, LLMops, ML Pipelines, Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core.
Cloud Platform: AWS (Lambda, API Gateway, S3, IAM, CloudWatch/X-Ray for Monitoring).
Programming Languages: Python (Primary), Node.js.
 DevOps & Tools: Git, CI/CD (Deep Experience with GitHub Actions / AWS CodePipeline), Terraform or CloudFormation (IaC), Artifact Management.
Integration Standards: REST APIs, OData, OpenAPI (Swagger) Specifications, JSON.

Key Responsibilities

Implement generative AI models on AWS, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Optimizing existing generative AI models on AWS for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Implement NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of GenAI models. -Experience working with cloud based platforms (AWS preferred) -Strong problem-solving and analytical skills. Experience on Multi Agent Systems, Multi Agent Orchestration is desirable
AI DevOps & ML Ops: Deep expertise in developing, testing, deploying, and monitoring AI applications and infrastructure using Git and robust CI/CD pipelines.
AWS Agentic Workflows: Experience using AWS Bedrock and Agent Core to build AI agents that can reason and execute tasks.
Strong Coding: Proficiency in Python and Node.js for backend development and API integration.
Technical Stack Requirements
AI & ML: PyTorch, Multi Agent Systems, LangChain, Amazon Bedrock, RAG, Natural Language Processing, LLMops, ML Pipelines, Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core.
Cloud Platform: AWS (Lambda, API Gateway, S3, IAM, CloudWatch/X-Ray for Monitoring).
Programming Languages: Python (Primary), Node.js.
 DevOps & Tools: Git, CI/CD (Deep Experience with GitHub Actions / AWS CodePipeline), Terraform or CloudFormation (IaC), Artifact Management.
Integration Standards: REST APIs, OData, OpenAPI (Swagger) Specifications, JSON.

Skill Requirements

Implement generative AI models on AWS, identify insights that can be used to drive business decisions. Work closely with multi-functional teams to understand business problems, develop hypotheses, and test those hypotheses with data, collaborating with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals. Optimizing existing generative AI models on AWS for improved performance, scalability, and efficiency. -Ensure data quality and accuracy -Implement NLP techniques and prompt engineering methodologies to enhance the capabilities and efficiency of GenAI models. -Experience working with cloud based platforms (AWS preferred) -Strong problem-solving and analytical skills. Experience on Multi Agent Systems, Multi Agent Orchestration is desirable
AI DevOps & ML Ops: Deep expertise in developing, testing, deploying, and monitoring AI applications and infrastructure using Git and robust CI/CD pipelines.
AWS Agentic Workflows: Experience using AWS Bedrock and Agent Core to build AI agents that can reason and execute tasks.
Strong Coding: Proficiency in Python and Node.js for backend development and API integration.
Technical Stack Requirements
AI & ML: PyTorch, Multi Agent Systems, LangChain, Amazon Bedrock, RAG, Natural Language Processing, LLMops, ML Pipelines, Generative AI: Amazon Bedrock (Agents, Knowledge Bases, Guardrails), Agent Core.
Cloud Platform: AWS (Lambda, API Gateway, S3, IAM, CloudWatch/X-Ray for Monitoring).
Programming Languages: Python (Primary), Node.js.
 DevOps & Tools: Git, CI/CD (Deep Experience with GitHub Actions / AWS CodePipeline), Terraform or CloudFormation (IaC), Artifact Management.
Integration Standards: REST APIs, OData, OpenAPI (Swagger) Specifications, JSON.

Other Requirements

Engineering & Model Development
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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 226,300 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending December 2025 totaled $14.5 billion.
23 Benefits At HCLTech, we believe in empowering our employees with comprehensive benefits that support their professional growth and enhance their well-being. When you sign up for a career with us, you gain access to: https://rmkcdn.successfactors.com/147eb21f/a701dca9-f32d-4fc9-9447-6.svg Industry-benchmarked compensation https://rmkcdn.successfactors.com/147eb21f/b0c54381-ddcc-4a33-9b35-9.svg Best-in-class healthcare benefits https://rmkcdn.successfactors.com/147eb21f/b73027be-7aae-4d36-a090-4.svg Personal time off https://rmkcdn.successfactors.com/147eb21f/d5b4fdfd-2e99-4e26-9878-9.svg Maternity and paternity benefits https://rmkcdn.successfactors.com/147eb21f/3d42b0fc-4652-435a-9ece-c.svg Access to skills / higher education programs/resources https://rmkcdn.successfactors.com/147eb21f/aeddeaf2-9e25-4584-ad11-d.svg Discounts on products and services via Benefit Box https://rmkcdn.successfactors.com/147eb21f/a9609a3b-2700-4b3c-9d90-a.svg Participate in CSR programs and live life with a purpose https://rmkcdn.successfactors.com/147eb21f/c6e33851-710f-4634-bd69-f.svg Opportunities to grow and advance your career Note: The benefits listed above vary depending on the nature of your employment and the country where you work. Some benefits may be available in some countries but not in all.