Gen Ai Architect / Sr Architect (aws - Presales / Sales Expert)
- SSJ Solutions
- 15 - 22 years
- Hyderabad
- 9 days ago
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Job Description
Looking for a highly skilled GenAI and Agentic AI Architect with deep hands-on expertise across AWS AI/ML services, multi-agent systems, LLM orchestration, and cloud-native engineering. This role centers on architecting and delivering scalable, secure, production-grade GenAI solutions using AWS AgentCore, AWS Bedrock, AWS Strands SDK, vector databases, and Python-based agentic AI solutions. You will define reference architectures, code solutions, lead complex implementations, and drive adoption of advanced GenAI and agentic patterns across enterprise systems.
Key Responsibilities
- Experience in pre-sales, solutioning, and deal shaping for large digital transformation programs.
GenAI & Agentic AI Architecture
- Architect end-to-end GenAI-first and Agentic AI solutions on AWS using:
- Amazon Bedrock
- Amazon AgentCore
- Strands SDK Multi-Agents
- AWS Agents for Bedrock
- Knowledge Bases for Bedrock
- Guardrails for Bedrock
- Amazon SageMaker for model lifecycle & finetuning
- Design multi-agent systems supporting planning, reasoning, tool invocation, memory stores, and multi-step workflows.
- Develop high-performance RAG architectures using:
- Amazon OpenSearch Serverless
- Kendra
- Aurora + pgvector
- Redis Enterprise
- Implement secure prompt flows, tool integrations, embeddings pipelines, and evaluation frameworks optimized for AWS.
Application & Platform Engineering
- Build Python-based microservices (FastAPI/Django) integrated with AWS AI stack.
- Design scalable architectures using AWS-native components:
- Lambda, Step Functions, EventBridge, SQS, DynamoDB, API Gateway, ECS/EKS
- Implement enterprise-class LLMOps using:
- Amazon SageMaker Pipelines
- AWS CodePipeline / CodeBuild
- CloudWatch / X-Ray observability
- Establish standards for:
- Agent governance & safety
- Secure model invocation
- Guardrails & content filters
- Latency & cost optimization patterns
Security, Reliability & Optimization
- Ensure compliance with enterprise security standards using:
- IAM, KMS, VPC endpoints, PrivateLink, CloudTrail
- Optimize AI workloads for cost, performance, and scalability, including model caching, selective batching, and autoscaling strategies.
- Conduct architecture reviews, threat modeling, and performance benchmarking.
Innovation & Framework Evangelism
- Assess new AWS AI services, foundation models, agent frameworks, and vector DBs.
- Create internal accelerators, reusable patterns, and AWS-focused reference architectures for:
- Multi-agent orchestration
- RAG 2.0 / context enrichment
- Federated retrieval
- Enterprise tool integration
- Lead PoCs, prototypes, and technical spikes to validate emerging AWS GenAI capabilities.
Technical Mentorship & Enablement
- Mentor engineering teams on AWS GenAI patterns, LLMOps, cloud-native development, and distributed AI architectures.
- Provide technical direction, best practices, and deep architectural guidance across delivery teams.
- Create internal documentation, architecture blueprints, and engineering playbooks.
Required Skills & Qualifications
- AWS Certified Associate/Professional Solutions Architect.
Preferred Qualifications
- Expert-level experience with AWS Bedrock, AWS AgentCore, Strands SDK, AWS Agents, SageMaker, OpenSearch, Lambda, Step Functions, ECS/EKS, and DynamoDB.
- Strong Python development background (FastAPI, Django).
- Hands-on coding ability with:
- Enterprise RAG
- Agent orchestration frameworks (Strands, LangGraph, CrewAI, Bedrock Agents, etc.)
- Embedding models and vector DB design
- Exposure to data engineering, analytics, and AI-driven platforms.
Job Classification
Industry: Recruitment / StaffingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Solution ArchitectEmployement Type: Full timeContact Details:
Company: SSJ SolutionsLocation(s): Hyderabad
Keyskills: Generative Ai architect Presales Langgrapg Bedrock Agentic Ai Solution Architecting Lang chain Vector Database LLM orchestration Finetuning AWS Python
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