AI Architect

GSPANN; Dadri, Hyderabad, Gurugram District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

GSPANN Technologies, Inc. is seeking a Senior AI Architect to lead the design, development and deployment of enterprise AI and GenAI solutions.

You will act as a technical SME, craft AI-first architectures, and collaborate across teams to deliver scalable microservices, RAG pipelines and AI agents. The role requires hands-on experience with LLMs, multiple cloud platforms, LangChain/Semantic Kernel, and a proven track record in delivering end-to-end AI projects, including pre-sales support and

Qualifications

• 12+ years of experience in AI/GenAI architecture and related leadership roles.
• Strong expertise in Java, J2EE and frameworks like Spring; proficient in Python and modern data stores.
• Hands-on in Java 17, Multithreading, Concurrency, RESTful web services, Microservices, Spring Boot, React/Next.js, Mongo.
• Experience with AWS; S3, IAM, SQS, SNS, Lambda, DynamoDB, CloudWatch, EC2, API Gateway, VPC and related networking/security basics.
• Hands-on with LLMs, embeddings, RAG, agent frameworks; design of AI Agents and agentic workflows.
• Experience with LangChain, Semantic Kernel or similar frameworks; familiarity with Claude, Copilot, Cursor as AI assistants.
• Experience migrating existing apps to new AI-enabled architectures; design and development of POC; pre-sales involvement.
• Mandatory experience in building end-to-end AI solutions leveraging top models; ecommerce domain experience (B2B/B2C) is mandatory.
• Experience across ecommerce platforms, CMS, DAM, PIM, OMS, payments, loyalty; integrating AI in enterprise platforms; deploying AI-based apps.
• Strong AI principles understanding; evaluating and selecting AI models/frameworks for enterprise use cases; optimized prompting techniques.
• Excellent stakeholder communication, leadership, and ability to drive results in Agile environments.
• Experience in pre-sales (RFP/RFI) focusing on portability, modularity, virtualization, cloud adoption.

Responsibilities

• Act as technical SME to design, develop and implement Microservices and AI applications.
• Define AI/GenAI architectures with AI-first thinking across product lifecycle.
• Fix performance, scalability, and time-critical issues; provide technical guidance to the team.
• Establish reference architectures across AWS, Azure, and GCP with reusable AI blueprints.
• Provide architectural roadmaps to clients and internal stakeholders; define design patterns and development guidelines.
• Architect solutions using OpenAI, Anthropic, Gemini, Mistral and other models; design optimized RAG pipelines.
• Integrate AI with enterprise systems using API-first, event-driven and agentic orchestration patterns.
• Define AI governance, prompt safety, monitoring, bias mitigation, and compliance frameworks.
• Lead architecture reviews and drive AI adoption; mentor teams and lead pre-sales discussions.

Skills

AI/GenAI architecture

Java

J2EE

Spring Boot

Python

RESTful services

Microservices

React/Next.js

NoSQL (Mongo)

AWS

Azure

GCP

LangChain/Semantic Kernel

LLMs/RAG

Tools

AWS (S3, IAM, SQS, SNS, Lambda, DynamoDB)

Azure OpenAI

GCP Vertex AI

RESTful/Web services tools

Job description

Role & responsibilities

• Act as technical SME and collaborate with a team of IT professionals to design, develop and implement Microservices, AI applications
• Define and design enterprise-grade AI/GenAI architectures (LLMs, RAG, Agent systems) with AI-first thinking across product lifecycle
• Fix performance, scalability, and other issues in a very time-critical environment.
• Provide technical guidance to the team for all issues
• Establish reference architectures across AWS, Azure, and GCP including application-layer best practices and reusable AI blueprints
• Provide architectural recommendations and technology roadmaps to client and internal stakeholders
• Define Design patterns, Multi Agent patterns, solution approaches and development guidelines
• Establish benchmarks, standards, techniques, and mechanisms for defining, measuring, and optimizing non-functional requirements.
• Architect solutions using OpenAI, Anthropic, Gemini, Mistral and others popular models
• Design RAG pipelines with optimized retrieval, chunking, embedding tuning, and grounding techniques
• Integrate AI with enterprise systems using API-first, event-driven, and agentic orchestration patterns
• Define AI governance frameworks covering prompt safety, monitoring, bias mitigation, and compliance
• Design pipelines with feedback loops, observability, and continuous learning mechanisms
• Optimize performance including latency, cost, token usage using prompt optimization and caching strategies
• Develop reusable AI accelerators like prompt libraries, SDKs, copilots, utilities
• Lead architecture/ideas reviews and drive AI-first mindset across teams and lifecycle phases
• Lead AI adoption initiatives across the organization by staying current with industry trends and enabling teams through webinars, trainings, and thought leadership content
• Contribute to organization in Design & development of frameworks, tools accelerators that enhances the ability of technology team members and organization.
• Effort estimating and assist in project planning for the different phases
• Participate in pre-sales providing solutions, and driving technical discussions with client and internal stakeholders

Preferred candidate profile

• 12+ years of experience with strong AI/GenAI architecture background
• Should have commendable expertise in Java, J2EE technologies and frameworks such as Web services, Spring, Python, Databases (Relational & NoSQL, Vector)
• Hands-on experience in Java 17, Multithreading, Concurrency, RESTful web-services, Microservices, Spring Boot, Python, React/Next.js ,NoSQL databases like Mongo
• Experience in AWS is mandatory - S3, IAM, SQS, SNS, Lambda, DynamoDB, CloudWatch, EC2, API Gateway, VPC and other AWS networking basics, security groups, administration basics, vertical and horizontal scaling
• Hands-on experience with LLMs, embeddings, RAG and agent frameworks
• Experience designing and developing AI Agents and Agentic Workflows.
• Experience in any other Cloud Platforms like, Azure, GCP.
• Experience with Azure OpenAI, AWS Bedrock, GCP Vertex AI.
• Experience in LangChain, Semantic Kernel, or similar frameworks
• Good experience in leverage AI Assistants like Claude, Copilot, Cursor.
• Experience in designing migrating existing application to new framework / architecture, redesign, work on POC
• Mandatory experience in building end to end AI solutions by leveraging best models
• Experience in Ecommerce domain (B2B, B2C) is Mandatory.
• Experience ecommerce platforms, CMS, DAM, PIM, OMS, Payment, Loyalty etc.
• Experience integrating AI in enterprise platforms
• Hands-on experience in deploying AI based applications.
• Strong understanding of AI principles
• Experience in evaluating and selecting appropriate AI models and frameworks for enterprise AI use cases.
• Well versed with optimized prompting techniques.
• Experience in working with clients to understand requirements, come up with the product architecture, design and estimate efforts.
• Excellent stakeholder communication and leadership skills
• Experience in Pre-sales (RFP, RFI), propose solutions with focus on portability, modularity, virtualization, cloud adaptation is mandatory
• Must have ability to drive and demand result from team, resolve technical conflicts.
• Experience with Agile software development methodology
• Knowledge about Change and Release management. Should be able to convert requirements to technical solutions
• Should have experience in managing distributed development teams environment (Onshore/Offshore Model)
• Ability to front end big customers / operators with technical and business acumen desirable.
• Active team player & excellent interpersonal interactions skills in a teamwork environment.
• Good communication skills (written, verbal, presentation and listening) and mentoring skills