Job
Description
We are seeking an accomplished Junior Architect with deep hands-on expertise in Generative AI (Gen AI) technologies to lead solution design, development governance, and technical direction across multiple AI-led transformation programs.
The ideal candidate will bring a blend of architecture experience, AI engineering depth, and innovation mindset to help conceptualize, design, and deliver scalable Gen AI solutions for enterprise clients across industries such as banking, financial services, manufacturing, and retail.Key ResponsibilitiesSolution Definition and ArchitectureDefine and own the end-to-end architecture for Gen AI and LLM-based solutions spanning data pipelines, model integration, orchestration, and deploymentDesign reference architectures and reusable patterns for conversational AI, content generation, summarization, knowledge retrieval, and intelligent automation use casesEvaluate and recommend AI frameworks, APIs, and cloud-native services such as Azure OpenAI, AWS Bedrock, Anthropic, and Google Vertex AILeadership and Delivery GovernanceLead the technical direction and governance of AI solution delivery ensuring architectural consistency, scalability, and complianceReview and guide proof-of-concept development ensuring outcomes align with enterprise-grade solution standardsCollaborate with data scientists, MLOps engineers, and application developers to translate AI concepts into deployable, secure, and cost-efficient solutionsDrive solution assurance, design reviews, and architecture compliance checks for all Gen AI engagementsInnovation and Use Case DevelopmentIdentify and define new Gen AI use cases relevant to business functions such as customer engagement, operations, and knowledge managementDevelop reusable assets, accelerators, and templates to scale Gen AI adoption across clientsContribute to internal capability building, training, and mentoring of junior developers and AI practitionersStakeholder EngagementWork closely with business teams, product owners, and client stakeholders to shape AI strategy and roadmapPresent architectural proposals, ROI cases, and implementation plans to senior leadership and customersPartner with cross-functional teams including Data, Cloud, Security, and Applications to ensure seamless integration of AI capabilities
