AI Architect
First seen by Alion on Sep 8, 2026.
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.
Skills
Artificial Intelligence, Java, AWS, Microservices Architecture, eCommerce, Technical Architect, AI Architecture, J2EE, Multithreading, Agentic AI