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 Machine Learning
Good to have skills : AWS Architecture, AI & Data Strategy, Machine Learning (ML)
Minimum 7.5 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 play a pivotal role in defining the data requirements and structure for applications. Your typical day will involve modeling and designing application data structures, ensuring efficient storage and integration. You will collaborate with various teams to ensure that data architecture aligns with business objectives and technical requirements, facilitating seamless data flow and accessibility across the organization. Your expertise will guide the development of robust data solutions that support analytical and operational needs, ultimately contributing to the overall success of the projects you are involved in.

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.
- Provide solutions to problems for their immediate team and across multiple teams.
- Develop and maintain comprehensive documentation of data architecture and design decisions.
- Mentor junior team members to enhance their skills and knowledge in 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 Machine Learning.
- Good To Have Skills: Experience with AWS Architecture, AI & Data Strategy, Machine Learning (ML).
- 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 7.5 years of experience in AWS Machine Learning.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.