AI/Artificial Intelligence Architect

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.