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

Location

Hyderabad

Experience

7–11 Years

About the Role

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. You will work with business and technology stakeholders to translate requirements into AI-driven solutions and provide architecture and implementation guidance.

Job Description

The role involves designing and implementing Agentic AI solutions using AWS services, with deep expertise in Amazon Bedrock Foundation Models, Agents, Guardrails, and Knowledge Bases. You will develop intelligent agent solutions incorporating orchestration, planning, memory, tool integration, and enterprise system connectivity.

You will architect Knowledge Base-driven applications using vector databases and Retrieval-Augmented Generation (RAG), while integrating Bedrock Agents with APIs, databases, and business applications. The position requires strong understanding of LLM architectures, prompt engineering, agent workflows, autonomous AI systems, and cloud-native AI platform engineering.

The candidate will also establish governance, security, compliance, and responsible AI practices, perform technical assessments, and guide implementation teams. Strong communication and stakeholder management skills are required for architecture discussions, technical workshops, and cross-functional collaboration.

Key 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.

Required Skills

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

Preferred / Good 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

Mandatory Skills

AWS Bedrock

Candidate Profile

The ideal candidate will have strong hands-on experience architecting and implementing Agentic AI solutions on AWS, with deep expertise in Amazon Bedrock and enterprise RAG architectures. The candidate should combine strong cloud and AI architecture skills with the ability to lead technical discussions, assess solutions, and communicate effectively with business and technology stakeholders.

Benefits Package

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

Originally posted on Himalayas