Diversity Opportunities
About Position:
We are conducting an in-person hiring drive for the position of Senior AI Architect in Bengaluru on 31st October 2026. The interview location details are mentioned below:
Persistent Systems Ltd, 4th and 5th Floor, Block 9, Pritech Park - SEZ, Behind RMZ Ecospace, Survey Nos. 51 to 64/4 & 66/1, Bellandur Village, Varthur Hobli, Bengaluru, Karnataka - 560103.
We are seeking an experienced Senior AI Architect specializing in Large Language Models (LLMs), Natural Language Processing (NLP), and Generative AI to drive the design, architecture, and implementation of enterprise-scale AI solutions. The ideal candidate will possess deep expertise in Python, LLMs, RAG architectures, fine-tuning techniques, and modern AI frameworks. This role requires a blend of strategic architecture leadership and hands-on technical execution to build scalable, secure, and production-ready AI systems that deliver measurable business value.
- Role: Senior AI Architect
- Location: Bengaluru
- Experience: 10 to 15 Years
- Job Type: Full-Time Employment
What You'll Do:
- Architect end-to-end AI, Machine Learning, and Generative AI solutions for enterprise business use cases.
- Design and implement solutions leveraging LLMs, NLP, semantic search, embeddings, and Retrieval-Augmented Generation (RAG).
- Develop prototypes, proof-of-concepts, and production-ready AI components using Python.
- Evaluate, benchmark, and select foundation models based on performance, scalability, security, compliance, and cost considerations.
- Design RAG architectures encompassing document ingestion, chunking strategies, embedding generation, vector search, retrieval optimization, and prompt orchestration.
- Define approaches for model fine-tuning and adaptation using techniques such as LoRA, PEFT, prompt tuning, and instruction tuning.
- Build NLP capabilities including text classification, entity extraction, summarization, question answering, semantic matching, sentiment analysis, and information retrieval.
- Define enterprise AI architecture patterns, reusable frameworks, APIs, and integration standards.
- Establish evaluation frameworks for model accuracy, relevance, hallucination detection, safety, security, and performance monitoring.
- Guide engineering teams in transitioning AI solutions from proof-of-concept to enterprise-scale production environments.
- Define observability, monitoring, model versioning, governance, and lifecycle management practices.
- Collaborate with Data Scientists, Data Engineers, Enterprise Architects, Security Teams, Product Owners, and Business Stakeholders.
- Ensure AI solutions adhere to responsible AI principles, governance policies, and regulatory compliance requirements.
- Lead architecture reviews and provide technical mentorship to AI and engineering teams.
- Drive AI innovation initiatives and evaluate emerging AI technologies and industry trends.
Expertise You'll Bring:
- 10-15 years of experience in Software Engineering, AI/ML Engineering, Data Science, or Solution Architecture roles.
- Strong hands-on Python development experience.
- Deep understanding of Large Language Models and modern Generative AI architectures.
- Strong expertise in Natural Language Processing (NLP) concepts, frameworks, and industry best practices.
- Hands-on experience designing and implementing Retrieval-Augmented Generation (RAG) applications.
- Experience with embeddings, vector databases, semantic search, and retrieval optimization techniques.
- Expertise in prompt engineering, prompt orchestration, and context management strategies.
- Hands-on experience with LLM fine-tuning and model adaptation approaches such as LoRA, PEFT, and transfer learning.
- Experience with AI/ML frameworks including PyTorch, Hugging Face Transformers, TensorFlow, LangChain, LlamaIndex, or similar technologies.
- Strong understanding of REST APIs, Microservices Architecture, and Enterprise Integration patterns.
- Experience building scalable, secure, and production-ready AI platforms.
- Knowledge of model evaluation techniques, hallucination mitigation, guardrails, responsible AI, and AI governance.
- Experience with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or similar platforms.
- Understanding of AI observability, monitoring, model lifecycle management, and MLOps best practices.
- Experience working with cloud AI platforms such as Azure OpenAI, AWS Bedrock, Vertex AI, or equivalent services.
- Strong problem-solving, analytical thinking, and solution design capabilities.
- Excellent communication, stakeholder engagement, and technical leadership skills.
- Ability to influence architecture decisions and mentor technical teams.
Benefits:
- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let's unleash your full potential at Persistent - persistent.com/careers
"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."