Data Architect

Project Role : Data Architect

Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.

Must have skills : AWS Analytics

Good to have skills : AWS Architecture, Data Analytics
Minimum 12 year(s) of experience is required

Educational Qualification : 15 years full time education

Summary:
We are looking for a seasoned Principal Agentic AI Engineer with deep expertise in AWS cloud architecture, LLM-based intelligent systems, and agentic AI design patterns. This role involves architecting and deploying autonomous, multi-agent systems capable of reasoning, planning, acting, and collaborating within enterprise cloud environments.
As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with business objectives and supports efficient data management practices. You will collaborate with various teams to ensure that the data architecture is robust, scalable, and meets the needs of the organization, while also addressing any challenges that arise in the data lifecycle.

Roles Responsibilities:

Design and lead the development of scalable, resilient agentic AI systems.

Integrate LLMs with enterprise APIs and data stores.

Implement Retrieval-Augmented Generation (RAG) pipelines and tool-augmented agents.

Ensure robust observability, fault tolerance, and CI/CD integration.

Expected to be an SME.

Collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Expected to provide solutions to problems that apply across multiple teams.

Facilitate knowledge sharing and best practices within the team.

Mentor junior professionals to enhance their skills and understanding of data architecture.

Professional Technical Skills:

Programming Languages: Python (primary), Go, Java, TypeScript

Agentic AI Frameworks: LangGraph, CrewAI, AutoGen, LangChain, Semantic Kernel

LLMs: OpenAI GPT, Anthropic Claude, Llama, Mistral, Falcon, AWS Bedrock models

RAG Tools: Pinecone, FAISS, Weaviate, Qdrant, pgvector, AWS Kendra

AWS Services: SageMaker, Bedrock, Lambda, ECS/EKS, Step Functions, S3, DynamoDB, Glue, Redshift, CloudFormation/Terraform

LLMOps / CI-CD: GitLab CI/CD, AWS CodePipeline, MLflow, CloudWatch, Prometheus, Datadog, OpenTelemetry, Terraform

Must To Have Skills:

Proficiency in AWS Analytics.

Good To Have Skills: Experience with AWS Architecture, Data Analytics.

Strong understanding of data modeling techniques and best practices.

Experience with data integration tools and methodologies.

Familiarity with cloud-based data storage solutions and architectures.

Additional Information:

12+ years in software engineering, including 5+ years in AI/ML or data platform engineering.

Proven track record in production-grade LLM or agentic system design.

Strong foundation in data engineering and machine learning deployment.

Excellent leadership and communication skills with the ability to mentor and influence technical direction.

AWS Certified Machine Learning Specialty

AWS Certified Solutions Architect Associate / Professional

The candidate should have minimum 12 years of experience in AWS Analytics.

This position is based at our Bengaluru office.

A 15 years full time education is required.

Qualification 15 years full time education