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.