Architect
- Infogain
- 10 - 18 years
- Delhi, NCR
- 1 month ago
- Email to a friend
- Report this job
Job Description
Eligibility Minimum Qualifications
Bachelors degree in Computer Science, Engineering, or a related field OR Masters degree in Statistics, Data Science, Economics, Operations Research, or a related discipline.
1015+ 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:
Prompt design and prompt engineering using Python-based frameworks
o Retrieval-Augmented Generation (RAG), Corrective RAG, and hybrid retrieval approaches x
o Knowledge Graphbased 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
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.
Key Responsibilities
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.
Mentor engineers and data scientists on Python, GenAI architecture, and LLM integration patterns.
Conduct code and design reviews to ensure maintainability and quality.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: InfogainLocation(s): Delhi, NCR+ View Contact
Keyskills: GEN AI Generative Ai RAG Large language model LLM
Fraud Alert to job seekers!
₹ Not Disclosed
Similar positions
Infogain
A Silicon-Valley headquartered company, Infogain is a global business oriented IT consulting provider of front-end, customer-facing technologies, processes and applications, leading to a more efficient and streamlined customer experience. We want our clients€™ interactions with their cus...
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in