Senior Technology Architect AI GenAI Q2 FY 26 Infosys Limited

8.0 - 12.0 years

0 Lacs

karnataka

On-site

The primary responsibility of this role is to lead the strategic design and implementation of enterprise-scale AI GenAI solutions. You will be required to drive architectural decisions across complex AI systems and serve as a trusted advisor to C-suite executives, leading AI transformation initiatives. Your key responsibilities will include developing AI technology adoption strategies, creating AI architecture and roadmap, conducting AI data readiness assessments, designing AI governance frameworks and risk assessments, building GenAI pipeline design and LLM integration architecture, formulating innovation strategies for emerging AI technologies, ensuring understanding of AI ethics and responsible AI practices, managing change for AI adoption across organizations, and delivering technical presentations to diverse stakeholder groups. In terms of technical requirements, you must possess expert level proficiency in Python for AI, be well-versed in AI GenAI libraries frameworks, have experience in production scale LLM implementation and fine-tuning, be skilled in RAG architecture design and vector database optimization, demonstrate expertise in multi-cloud AI services such as AWS Bedrock, Azure, OpenAI, or Vertex AI, have knowledge of Agentic AI systems and multi-agent orchestration, understand enterprise data architecture and distributed systems, be competent in MLOps LLMOps pipeline design and automation, and have experience with microservices and API-first architecture. Additional responsibilities may include obtaining AWS, Azure, GCP AI certifications, showcasing executive communication and presentation skills, possessing industry domain expertise in areas like Healthcare, FinTech, or Manufacturing, demonstrating business acumen and strategic planning capabilities, and having at least 3 years of client-facing advisory experience. Preferred skills for this role include expertise in retrieval augmented generation (RAG), support vector machines, AWS databases, traditional AI/ML solution architecture and design, and proficiency in cloud platforms.,

Posted 3 weeks ago

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AIML Engineer _ Dotsquares Technologies Jaipur Dotsquares

3.0 - 5.0 years

4 - 9 Lacs

Jaipur

Work from Office

Job Title: AI Engineer Experience: 3 - 5 Years Location: Jagatpura, Jaipur Type: Full-Time Kindly share your CV at shubhanshu.mishra@dotsquares.com Job Summary: We are seeking a highly skilled AI Engineer (Senior Python Developer) with 3- 5 years of experience, including at least 3+ years of hands-on expertise in LLM implementation , Retrieval-Augmented Generation (RAG) architectures, and multi-agent systems . This role is ideal for someone who enjoys working across the stack from data engineering and scalable backend APIs to cutting-edge Generative AI and MLOps workflows. You will take full ownership of building production-grade AI applications and intelligent systems, collaborating cross-functionally with stakeholders and product teams. Key Responsibilities: Design and develop AI applications using Large Language Models (LLMs) , RAG , and multi-agent architectures . Build high-performance APIs using FastAPI , including scalable, secure, and well-documented endpoints. Lead development of Generative AI-based conversational agents (text and voice) with support for low-latency communication and WebSocket integrations. Architect end-to-end solutions integrating vector databases (FAISS, pgvector, Chroma, Pinecone) for semantic and embedding-based search. Develop efficient ETL and data pipelines using Pandas, PySpark, and SQL. Apply and optimize caching techniques (Redis, memory-based) and background task queues using Celery . Ensure robust MLOps workflows : CI/CD for ML, model versioning, monitoring, retraining, deployment, and registry. Perform database integration with relational and NoSQL systems ( MySQL, PostgreSQL, MongoDB ). Write optimized and complex SQL queries for reporting, analytics, and dynamic retrieval. Deploy scalable services and ML models in cloud environments such as AWS , Azure , or GCP . Communicate effectively with technical and non-technical stakeholders; gather requirements and translate them into actionable solutions. Must-Have Skills: Python (Expert) with strong fundamentals and extensive experience in Pandas and PySpark . Hands-on experience with LLMs , RAG , multi-agent systems , and GenAI applications. Strong knowledge of FastAPI for API development. Advanced proficiency in SQL capable of writing efficient, optimized, and analytical queries. Experience with vector databases : FAISS, pgvector, Chroma, Pinecone. Background task orchestration using Celery . Redis and memory-based caching for performance. Strong system design and problem-solving skills. Experience with MLOps practices and tools (model registry, CI/CD, retraining, serving, monitoring). Hands-on with MySQL , PostgreSQL , and NoSQL databases (e.g., MongoDB). Strong verbal and written communication; ability to interface directly with clients and stakeholders. Experience deploying in cloud environments AWS, Azure, or GCP. Good to Have: Experience with WebSocket for real-time, low-latency systems. Conversational AI involving voice + text interfaces . Fine-tuning or retraining open-source LLMs (e.g., LLaMA , Falcon , Mistral ). Familiarity with MCP architecture (Model-Context-Prompt) for GenAI systems. Exposure to Docker , Kubernetes , and scalable ML deployment patterns. Experience with ETL orchestration tools like Airflow, Prefect (if applicable). Qualifications: Bachelors or Masters degree in Computer Science , Artificial Intelligence , Data Science , or a related field. 3- 5 years of experience in backend development and AI systems with at least 3 years in GenAI / LLM-based projects . Proven ownership of production-grade AI solutions and real-world deployment.

Posted 1 month ago

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