ROLES RESPONSIBILITIES Generative AI Architect AWS Job Summary We are seeking an experienced Generative AI Architect with deep expertise in designing building and scaling Generative AI and Large Language Model LLM -based solutions on cloud platforms The role requires solid architectural leadership and hands-on implementation skills particularly using Python-based AI ML frameworks to deliver secure scalable and production-grade GenAI systems Eligibility Minimum Qualifications Bachelor s degree in Computer Science Engineering or a related field OR Master s degree in Statistics Data Science Economics Operations Research or a related discipline 12-15 years of experience in Analytics Data Science AI ML or advanced engineering roles Extensive hands-on experience with Generative AI and LLM-based solutions Strong proficiency in Python with experience building AI ML and GenAI applications Proven experience designing and deploying solutions on AWS Solid understanding of data engineering model lifecycle management and production deployment Core Technical Skills Required Generative AI LLM Architecture Expertise in o Prompt design and prompt engineering using Python-based frameworks o Retrieval-Augmented Generation RAG Corrective RAG and hybrid retrieval approaches o Knowledge Graph-based RAG implementations o Multi-agent and agentic frameworks implemented in Python o Model evaluation hallucination mitigation and response quality measurement Experience with o Fine-tuning techniques such as LoRA QLoRA using Python ML stacks o Reranking embedding strategies and semantic search optimization o Automated and human-in-the-loop evaluation frameworks Python AI ML Development Advanced proficiency in Python for o Developing GenAI services APIs and orchestration layers o Integrating LLMs with vector databases search engines and data sources o Building reusable libraries and modular AI components Experience with Python libraries and frameworks such as o LangChain LangGraph LlamaIndex or similar o FastAPI or Flask for AI service deployment Multimodal AI Experience or strong architectural exposure to o Text image audio and video AI workflows o Multimodal generation pipelines orchestrated via Python services o Content structuring summarization and transformation using GenAI AWS Cloud Architecture Strong hands-on experience with AWS services including o Amazon Bedrock SageMaker o Lambda ECS EKS o S3 OpenSearch DynamoDB RDS o IAM VPC KMS CloudWatch Experience designing o Secure scalable and cost-optimized GenAI architectures o VPC-isolated AI workloads and governed access models o CI CD pipelines and Python-based MLOps workflows Data Platform Engineering Solid understanding of o ETL pipelines implemented in Python o Structured and unstructured data processing o SQL and database technologies Exposure to Big Data and distributed processing frameworks is desirable Key Responsibilities Architecture Solution Design Design end-to-end architectures for Python-driven Generative AI and LLM solutions Define reusable Python frameworks for prompt management RAG pipelines agent orchestration and evaluation Ensure architectural alignment with scalability security and governance standards Technical Leadership Delivery Lead solution development using Python-centric AI stacks from design through production deployment Guide engineering teams on best practices for Python-based GenAI development Ensure delivery of high-quality production-ready AI solutions Governance Quality Risk Management Implement governance safety controls and evaluation frameworks using Python-based tooling Monitor performance quality and reliability of deployed GenAI systems Mentoring Best Practices Mentor engineers and data scientists on Python GenAI architecture and LLM integration patterns Conduct code and design reviews to ensure maintainability and quality Innovation Continuous Learning Stay current with advancements in Generative AI and Python-based AI ecosystems Evaluate and adopt new frameworks tools and methodologies where relevant Desirable Skills Experience with open-source LLMs and SLMs using Python Familiarity with vector databases and embedding stores Exposure to observability and evaluation tooling for GenAI systems Understanding of content structuring or learning-related AI workflows is a plus EXPERIENCE 20-25 Years SKILLS Primary Skill Data Science Sub Skill s Data Science Additional Skill s Python Data Modeling Data Science ABOUT THE COMPANY Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley We engineer business outcomes for Fortune 500 companies and digital natives in the technology healthcare insurance travel telecom and retail CPG industries using technologies such as cloud microservices automation IoT and artificial intelligence We accelerate experience-led transformation in the delivery of digital platforms Infogain is also a Microsoft NASDAQ MSFT Gold Partner and Azure Expert Managed Services Provider MSP Infogain an Apax Funds portfolio company has offices in California Washington Texas the UK the UAE and Singapore with delivery centers in Seattle Houston Austin Krakow Noida Gurgaon Mumbai Pune and Bengaluru

📌 Data Science Architect (senior) (Karnataka)
🏢 Infogain
📍 Karnataka