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.
Bengaluru
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