Senior Specialist - Cloud Engineering

We are seeking an experienced AWS Bedrock Specialist with 8 to 12 years of expertise to join our team in Hyderabad. The ideal candidate will have strong hands-on experience designing and implementing Agentic AI solutions using AWS services, particularly focusing on Amazon Bedrock and its associated technologies. This role demands a deep understanding of intelligent agent development, knowledge-based AI applications, and scalable cloud-native AI architectures. The candidate will work closely with enterprise systems, integrating AI solutions that leverage large language models (LLMs), vector databases, and Retrieval-Augmented Generation (RAG) techniques to drive innovation and business value.

Key Responsibilities
- Design, develop, and implement Agentic AI solutions using AWS Bedrock, including Foundation Models, Agents, Guardrails, and Knowledge Bases.
- Lead the orchestration and planning of AWS AgentCore, managing memory and tool integrations for intelligent agents.
- Build knowledge-driven AI applications utilizing vector databases and RAG architecture to enhance AI capabilities.
- Integrate Bedrock Agents with enterprise APIs, databases, and business applications to ensure seamless AI workflows.
- Architect scalable, secure, and cost-optimized cloud-native AI solutions on AWS, leveraging services such as Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS, EKS, IAM, and Step Functions.
- Implement governance, security, compliance, and responsible AI practices to maintain high standards of AI ethics and operational integrity.
- Define AI solution architecture, conduct technical assessments, and provide implementation guidance to cross-functional teams.
- Collaborate with stakeholders to translate business requirements into AI-driven solutions, demonstrating strong problem-solving and analytical skills.
- Lead architecture discussions, conduct technical workshops, and mentor development teams to foster knowledge sharing and skill development.

Required Qualifications
- 8-12 years of experience in AWS cloud services with a focus on Agentic AI and AWS Bedrock.
- Proven expertise in Amazon Bedrock, including Foundation Models, Agents, Guardrails, and Knowledge Bases.
- Hands-on experience with AWS AgentCore for agent orchestration, memory management, and tool integration.
- Strong knowledge of LLM architectures, prompt engineering, agent workflows, and autonomous AI systems.
- Experience building knowledge-based AI applications using vector databases and RAG methodologies.
- Proficiency in integrating AI agents with enterprise systems, APIs, and databases.
- Deep understanding of AWS services such as Lambda, API Gateway, S3, DynamoDB, OpenSearch, ECS, EKS, IAM, and Step Functions.
- Experience implementing AI governance, security, compliance, and responsible AI frameworks.
- Ability to define AI solution architectures and provide technical leadership.
- Excellent communication and stakeholder management skills.
- AWS Certification is mandatory, including AWS Certified Solutions Architect, AWS Certified AI Practitioner, AWS Certified Machine Learning Specialty, or equivalent.

Preferred Qualifications and Benefits
- Experience with multi-agent systems and advanced AI orchestration frameworks.
- Hands-on exposure to agent frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or AutoGen.
- Experience building enterprise-grade RAG solutions using Amazon OpenSearch, Pinecone, Weaviate, or other vector databases.
- Knowledge of model evaluation, observability, AI monitoring, and performance optimization.
- Familiarity with LLM fine-tuning, model customization, and prompt optimization techniques.
- Experience with MLOps, CI/CD pipelines, and AI application deployment strategies.
- Background in data engineering and integrating structured and unstructured data sources into AI solutions.
- Understanding of Responsible AI, AI governance, and compliance frameworks.
- Exposure to other cloud AI platforms such as Azure OpenAI and Google Vertex AI.
- Experience in enterprise digital transformation and AI modernization initiatives.
- Knowledge of customer experience (CX), conversational AI, chatbots, and virtual assistant solutions.
- Proven ability to lead architecture discussions, technical workshops, and mentor teams.

This role offers the opportunity to work on cutting-edge AI technologies within a dynamic cloud environment, contributing to transformative AI solutions that impact enterprise operations and customer experiences.