Engineering Architect

Persistent Systems; Pune District; On-site; INR 3,500,000 - 6,500,000; Full time

Benefits offered by this job

Hybrid work options

Long service awards

Project parties

Flexible work hours

Group term life insurance

Job summary

Persistent Systems in Pune is seeking an Engineering Architect to lead the design and development of enterprise-scale Generative AI platforms, Agentic AI frameworks, and RAG solutions. You will architect scalable Python/FastAPI microservices, RAG pipelines, and vector databases while guiding cloud-native architectures across AWS, Azure, and GCP.

You will collaborate with Product Managers and Engineers to define AI roadmaps, implement secure governance, and build reusable frameworks and

Qualifications

• 12 to 16 years of experience in Software Engineering, Solution Architecture, Platform Engineering, or Cloud Architecture.
• Strong expertise in Python development and enterprise application design.
• Hands-on experience with FastAPI, Flask, REST APIs, and microservices architecture.
• Proven experience designing and deploying Generative AI and LLM-powered applications.
• Experience building Agentic AI frameworks and autonomous AI workflows.
• Deep understanding of Retrieval-Augmented Generation (RAG) architectures and implementation patterns.
• Experience with embeddings, semantic search, vector retrieval, reranking, and contextual grounding techniques.
• Hands-on experience with Vector Databases such as pgvector, Qdrant, Pinecone, Weaviate, OpenSearch / Elasticsearch.
• Experience integrating and deploying Large Language Models through Azure OpenAI, OpenAI APIs, Hugging Face Models, Open-source LLMs.
• Expertise in cloud-native architecture across AWS, Azure, and GCP.
• Strong knowledge of Kubernetes, Docker, container orchestration, and distributed systems.
• Experience implementing CI/CD pipelines and DevOps practices.
• Strong understanding of authentication, authorization, data protection, and AI governance principles.
• Knowledge of performance optimization, caching strategies, scalability, and high-availability architectures.
• Experience designing reusable frameworks and enterprise architecture patterns.
• Strong communication, stakeholder engagement, and technical leadership capabilities.
• Competitive salary and benefits package.

Responsibilities

• Architect and develop scalable Python and FastAPI-based microservices supporting AI, RAG, and GenAI workloads.
• Design and implement Retrieval-Augmented Generation (RAG) frameworks for enterprise AI applications.
• Define ingestion, chunking, embedding, indexing, retrieval, reranking, and grounding strategies for AI systems.
• Build Agentic AI frameworks incorporating tool-calling, autonomous workflows, guardrails, and policy enforcement mechanisms.
• Design reusable AI accelerators, SDKs, frameworks, libraries, and development templates.
• Architect and optimize Vector Database solutions using pgvector, Qdrant, Pinecone, OpenSearch, or Elasticsearch.
• Evaluate and integrate Large Language Models and foundation models based on business requirements, performance, governance, and cost considerations.
• Implement enterprise-grade security, authentication, authorization, governance, and compliance standards across AI platforms.
• Design cloud-native AI architectures leveraging AWS, Azure, and Google Cloud Platform services.
• Develop robust CI/CD pipelines for AI applications and microservices deployments.
• Implement containerized deployments using Docker and Kubernetes.
• Build monitoring, observability, telemetry, logging, and operational support capabilities using OpenTelemetry and modern observability platforms.
• Drive performance tuning, scalability improvements, and optimization of AI systems.
• Collaborate with Product Managers, Data Engineers, ML Engineers, and Enterprise Architects to define AI roadmaps and solution strategies.
• Lead architecture reviews, design workshops, and technical mentoring initiatives.
• Support AI platform adoption and promote engineering best practices across teams.

Skills

Python development

FastAPI

LLMs

Cloud-native architectures

AI engineering

Kubernetes

Docker

Vector databases

OpenAI Azure integration

Distributed systems

Tools

pgvector

Qdrant

Pinecone

OpenSearch/Elasticsearch

Weaviate

Job description

We are seeking an experienced Engineering Architect to lead the design and development of enterprise-scale Generative AI platforms, Agentic AI frameworks, and Retrieval-Augmented Generation (RAG) solutions. The ideal candidate will possess deep expertise in Python, FastAPI, Large Language Models (LLMs), cloud-native architectures, and AI engineering best practices.

• Location: Pune
• Experience: 12 to 16 Years
• Job Type: Full-Time Employment

What You'll Do:

• Architect and develop scalable Python and FastAPI-based microservices supporting AI, RAG, and GenAI workloads.
• Design and implement Retrieval-Augmented Generation (RAG) frameworks for enterprise AI applications.
• Define ingestion, chunking, embedding, indexing, retrieval, reranking, and grounding strategies for AI systems.
• Build Agentic AI frameworks incorporating tool-calling, autonomous workflows, guardrails, and policy enforcement mechanisms.
• Design reusable AI accelerators, SDKs, frameworks, libraries, and development templates.
• Architect and optimize Vector Database solutions using pgvector, Qdrant, Pinecone, OpenSearch, or Elasticsearch.
• Evaluate and integrate Large Language Models and foundation models based on business requirements, performance, governance, and cost considerations.
• Implement enterprise-grade security, authentication, authorization, governance, and compliance standards across AI platforms.
• Design cloud-native AI architectures leveraging AWS, Azure, and Google Cloud Platform services.
• Develop robust CI/CD pipelines for AI applications and microservices deployments.
• Implement containerized deployments using Docker and Kubernetes.
• Build monitoring, observability, telemetry, logging, and operational support capabilities using OpenTelemetry and modern observability platforms.
• Drive performance tuning, scalability improvements, and optimization of AI systems.
• Collaborate with Product Managers, Data Engineers, ML Engineers, and Enterprise Architects to define AI roadmaps and solution strategies.
• Lead architecture reviews, design workshops, and technical mentoring initiatives.
• Support AI platform adoption and promote engineering best practices across teams.

Expertise You'll Bring:

• 12 to 16 years of experience in Software Engineering, Solution Architecture, Platform Engineering, or Cloud Architecture.
• Strong expertise in Python development and enterprise application design.
• Hands-on experience with FastAPI, Flask, REST APIs, and microservices architecture.
• Proven experience designing and deploying Generative AI and LLM-powered applications.
• Experience building Agentic AI frameworks and autonomous AI workflows.
• Deep understanding of Retrieval-Augmented Generation (RAG) architectures and implementation patterns.
• Experience with embeddings, semantic search, vector retrieval, reranking, and contextual grounding techniques.
• Hands-on experience with Vector Databases such as pgvector, Qdrant, Pinecone, Weaviate, OpenSearch / Elasticsearch.
• Experience integrating and deploying Large Language Models through Azure OpenAI, OpenAI APIs, Hugging Face Models, Open-source LLMs.
• Expertise in cloud-native architecture across AWS, Azure, and GCP.
• Strong knowledge of Kubernetes, Docker, container orchestration, and distributed systems.
• Experience implementing CI/CD pipelines and DevOps practices.
• Strong understanding of authentication, authorization, data protection, and AI governance principles.
• Knowledge of performance optimization, caching strategies, scalability, and high-availability architectures.
• Experience designing reusable frameworks and enterprise architecture patterns.
• Strong communication, stakeholder engagement, and technical leadership capabilities.
• 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
• 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

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."