Birlasoft
Website:
birlasoft.com
Job details:
Area(s) of responsibility
Key Responsibilities
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 & fine‑tuning
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.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
- 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.
- 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.
- 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.
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