Generative AI

Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design code and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable high-performing solutions tailored to specific business needs.
Must have skills : Generative AI
Good to have skills :
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are looking for a Technical Architect with 1016 years of technology experience to own end-to-end technical architecture for complex full-stack cloud-native GenAI and Agentic AI solutions. The role requires strong hands-on expertise across and AWS Serverless combined with the ability to translate business requirements into scalable secure and production-ready architectures.
Roles & Responsibilities:
1. Own and drive end-to-end architecture and technical design for complex applications microservices APIs integrations and AWS Serverless solutions.
2. Design and review GenAI/Agentic AI architectures including agents workflows orchestration LLMs prompts tools RAG knowledge sources guardrails and enterprise integrations.
3. Evaluate technology framework LLM and AWS service options and make architecture decisions considering scalability performance security availability maintainability and cost.
4. Lead architecture and technical design reviews guide Technical Leads and engineering teams resolve complex technical issues and drive reusable architecture patterns and accelerators.
Professional & Technical Skills
1. Strong hands-on expertise in JavaScript/TypeScript REST APIs microservices system integration distributed/event-driven architectures and databases.
2. Strong AWS Serverless and cloud architecture experience with Lambda API Gateway IAM S3 CloudWatch and related services including CI/CD IaC observability security and production support.
3. Strong practical experience with GenAI/LLM and Agentic AI solutions including Amazon Bedrock/OpenAI/Anthropic/Azure OpenAI prompt engineering agent orchestration tool calling RAG embeddings vector databases and semantic search.
4. Strong understanding of OAuth2 JWT SSO IAM Responsible AI AI security evaluation guardrails and enterprise AI governance.
Additional Information:
1. Experience with LangChain LangGraph AutoGen CrewAI Semantic Kernel Amazon Bedrock Agents MCP and multi-agent architectures is preferred.
2. Experience creating architecture diagrams technical standards reference architectures reusable accelerators modernization strategies and technical PoCs is desirable.
3. Strong technical leadership and mentoring skills with experience guiding Technical Leads Senior Engineers and development teams.