Senior Specialist - Data Sciences (AWS Bedrock / Agentic AI)

Vivantify Technology Solutions India Pvt. Ltd.

IndiaremotePosted 11 days ago

Skill Required

AI-ArchitectMachine-Learning-ArchitectAWS-AI-EngineerSolutions-ArchitectAI-EngineerSenior-Data-Science-SpecialistSenior-Data-ScienceSenior-Machine-Learning-Data-ScientistSenior-Agentic-AI-EngineerAWSAIGenerative AIMachine Learningdata engineeringObservabilityCD pipelinesEngineeringanalyticalElasticsearchLangChaindesigningDynamoDBsecurityRAGdesignOpenAPIAzureCI/CDCloudAPIsIAMandCICDFulltime

Key highlights

Experience: 7–11 Years
Location: Hyderabad
Key Requirement: Amazon Bedrock
Benefit: Professional growth and development opportunities

Role overview

We are seeking an experienced AWS Agentic AI Architect with strong expertise in Amazon Bedrock and enterprise AI solution architecture. The role focuses on designing secure, scalable, and cost-effective Agentic AI, RAG, and LLM-powered solutions on AWS, translating requirements into AI-driven solutions and providing architecture and implementation guidance.

Responsibilities

Design and implement Agentic AI solutions using AWS services and Amazon Bedrock.
Architect solutions using Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases.
Develop agent orchestration capabilities covering planning, memory, and tool integrations.
Build enterprise RAG and Knowledge Base solutions using vector databases.
Integrate Bedrock Agents with enterprise APIs, databases, and business applications.
Design scalable, secure, and cost-optimized cloud-native AI architectures.
Establish AI governance, security, compliance, and responsible AI practices.
Conduct technical assessments, lead architecture discussions, and provide implementation guidance.

Requirements

Amazon Bedrock
Agentic AI solution architecture and development
AWS AgentCore, including agent orchestration, planning, memory, and tool integration
RAG, Knowledge Bases, vector databases, and LLM integration
LLM architectures, prompt engineering, agent workflows, and autonomous AI systems
AWS cloud architecture and AI platform engineering
AWS services including Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS, EKS, IAM, and Step Functions
Enterprise API, database, and business application integration
AI governance, security, compliance, and responsible AI
Strong analytical, problem-solving, communication, and stakeholder management skills
AWS certification: AWS Certified Solutions Architect, AWS Certified AI Practitioner, AWS Certified Machine Learning Specialty, or equivalent

Nice to have

Multi-agent systems and advanced AI orchestration frameworks
LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen
Enterprise RAG using Amazon OpenSearch, Pinecone, Weaviate, or other vector databases
Model evaluation, observability, AI monitoring, and performance optimization
LLM fine-tuning, model customization, and prompt optimization
MLOps, CI/CD pipelines, and AI application deployment
Data engineering and structured/unstructured data integration
Responsible AI, AI governance, and compliance frameworks
Exposure to Azure OpenAI, Google Vertex AI, or other cloud AI platforms
Enterprise digital transformation and AI modernization initiatives
CX, conversational AI, chatbot, or virtual assistant solutions
Architecture workshops, technical leadership, and mentoring development teams
Preferred AWS certifications including AI Practitioner, Machine Learning Specialty, Solutions Architect Associate/Professional, or Developer Associate

Benefits

Competitive salary and benefits package
Opportunities for professional growth and development
A collaborative and inclusive work environment
The opportunity to work on exciting and challenging projects with leading clients