Gen AI Architect (need immediately available candidates in 0-15 days)
- Source: Naukri
- Chryselys
- Hybrid
- Hyderabad
- Full-Time
- Mid level
Job Description
About Us:Chryselys is a “Great Place to Work”, Pharma Analytics & Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
Who we are:People - Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.Quality - Our goal is to deliver the value of a big five consulting company without the big five cost.Technology - Our solutions are Business centric built on cloud native technologies.
Required Qualifications
- 5+ years of overall experience in software/platform development with strong exposure to backend and cloud-native application development.
- At least 3+ years of hands-on experience in developing Generative AI solutions, including enterprise-grade AI/LLM-based applications.
- Strong programming skills with proficiency in Python and experience building scalable APIs, services, and AI-driven workflows.
- Hands-on experience in designing and implementing Gen AI solutions using Large Language Models (LLMs), including prompt engineering, Retrieval-Augmented Generation (RAG), AI orchestration, and multi-agent systems.
- Experience working with AWS cloud services (preferred), including exposure to services such as Lambda, ECS/EKS, Bedrock, S3, API Gateway, DynamoDB, IAM, or similar cloud-native components.
- Experience building and deploying production-grade AI applications, ensuring scalability, security, monitoring, and performance optimization.
- Hands-on experience with frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or equivalent orchestration frameworks.
- Understanding of LLM integration patterns, model serving, inference optimization, vector databases, embeddings, and knowledge retrieval mechanisms.
- Experience implementing secure AI/agentic workflows, including tool calling, API integrations, authentication/authorization mechanisms, and enterprise security considerations.
- Strong understanding of distributed and event-driven architectures, microservices, and scalable system design.
- Ability to independently troubleshoot and resolve complex technical issues in AI-enabled systems and cloud environments.
- Strong communication and stakeholder management skills, with the ability to explain technical concepts to both technical and business audiences.
Preferred Qualifications
- Experience with AWS Bedrock, foundation models, and enterprise Gen AI solution architecture.
- Experience in building AI-powered assistants, copilots, conversational AI, or agentic workflows for enterprise use cases.
- Exposure to vector databases, semantic search, embeddings, and enterprise knowledge management systems.
- Familiarity with MCP (Model Context Protocol), tool integrations, and agent orchestration patterns.
- Experience working in regulated enterprise environments, implementing secure, compliant, and scalable AI solutions.
- Proven ability to drive innovation and propose practical AI-based solutions for complex business problems.
How to Apply:Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/Please include your resume and a cover letter detailing why youre the perfect fit for this role.Equal Employment Opportunity:Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Connect with Us:Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/Discover more about our team and culture: www.chryselys.com
Skills
- Python
- amazon-web-services
- aws-lambda
- amazon-ecs
- amazon-eks
- bedrock
- amazon-s3
- amazon-api-gateway
- amazon-dynamodb
- aws-iam
- LangChain
- LangGraph
- crewai
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