GSPANN - AI Architect - eCommerce Domain

GSPANN Technologies, Inc; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

GSPANN Technologies, Inc. in Gurgaon invites an AI Architect to lead enterprise AI/GenAI architecture across cloud platforms and guide teams through design, development and implementation of microservices and AI applications.

The role requires deep hands-on experience with LLMs, RAG, and agent systems, plus strong skills in AWS, Azure, and GCP. You will drive design patterns, governance, and end-to-end AI solutions in an ecommerce context.

Qualifications

• 12+ years of experience with strong AI/GenAI architecture background.
• Proficient in Java, J2EE, and frameworks such as Web services, Spring, Python, databases (Relational & NoSQL, Vector).
• Hands-on experience in Java 17, Multithreading, Concurrency, RESTful services, Microservices, Spring Boot, Python, React/Next.js, MongoDB.

Responsibilities

• Act as technical SME and design, develop, and implement microservices and AI applications.
• Define and design enterprise-grade AI/GenAI architectures (LLMs, RAG, Agent systems).
• Establish reference architectures across AWS, Azure, and GCP with reusable AI blueprints.
• Provide architectural guidance and roadmaps to clients and stakeholders.
• Lead architecture reviews and drive AI-first thinking across teams.

Skills

AI/GenAI architecture

Java/J2EE/Spring

AWS

LLMs/RAG

Azure/GCP

LangChain

AI Agents frameworks

Tools

LangChain

Semantic Kernel

OpenAI

Anthropic

GCP Vertex AI

Job description

Job Description : AI Architect

Key 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.

Required Skills

• 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.

(ref:hirist.tech)