Artificial Intelligence Architect

GSPANN Technologies, Inc.; Hyderabad, Pune District, Delhi; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

GSPANN Technologies, Inc. is seeking an experienced AI Architect to design and implement AI and GenAI-driven architectures for enterprise-scale solutions. You will lead technical discussions, guide teams, and collaborate with clients across the full product lifecycle.

The role emphasizes building scalable microservices, optimizing AI pipelines, and delivering governance and patterns for repeatable success. Strong cloud and framework experience is essential.

Qualifications

• 12+ years of experience in AI/GenAI architecture and enterprise-scale solutions.
• Expertise in Java, J2EE, Spring, Python, and RESTful services.
• Hands-on with AWS and other clouds (Azure/GCP).
• Experience with LLMs, embeddings, RAG, and agent frameworks.
• Experience in ecommerce domain (B2B, B2C) is mandatory.

Responsibilities

• Design, develop and implement Microservices and AI applications.
• Define enterprise-grade AI architectures with AI-first thinking across product lifecycle.
• Lead architecture reviews and provide technical guidance to teams.
• Collaborate with clients and stakeholders on solutions and pre-sales.
• Develop reusable AI accelerators and AI governance frameworks.

Skills

Java

J2EE

Spring/ Spring Boot

Python

RESTful services

AI/GenAI architecture

LLMs/RAG/Agent frameworks

Multithreading/Concurrency

React/Next.js

Cloud platforms

Education

Bachelors/Master’s in CS or related

Tools

AWS

Azure

GCP

LangChain

Semantic Kernel

MongoDB

OpenAI/Anthropic/Gemini APIs

Job description

Role-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.