AI/ML Architect

Key ResponsibilitiesHands On AI Solution Development (Core Requirement)Design, develop, and implement AI / GenAI solutions using Python as the primary programming languageBuild production ready AI components , including:Data ingestion and preprocessing pipelinesPrompt engineering and prompt orchestration layersRetrieval Augmented Generation (RAG) pipelinesAPI based AI services and microservicesWrite and review Python code for:Model integration and inferenceLLM orchestration (agents, tools, workflows)Data transformations and feature engineeringDebug, optimize, and harden AI solutions for performance, scalability, and reliabilityCloud & Hyperscaler AI ImplementationImplement AI solutions using:AWS (Bedrock, SageMaker, Lambda, API Gateway, Amazon Q, OpenSearch, S3, etc.)Azure (Azure OpenAI, Azure AI Studio, Cognitive Services, Azure ML, Functions, etc.)Develop cloud native AI architectures leveraging Python based SDKs and APIsIntegrate AI services with enterprise data platforms, applications, and security frameworksArchitecture & Delivery Leadership (Hands On)Own end to end AI solution architecture , from design through deploymentActively participate in:POCs and pilots (hands on build)Production deployments (implementation support)Code reviews and design reviewsDefine and implement MLOps / LLMOps patterns , including CI/CD, monitoring, and observabilityEnsure solutions meet Responsible AI, security, and compliance standardsClient & Stakeholder EngagementWork directly with client technical and business stakeholders to:Translate business requirements into working AI solutionsDemonstrate prototypes and explain implementation decisionsServe as the technical AI face for clients credible because of hands on depth, not just strategyCOE & Team EnablementMentor onshore and offshore engineers through pair programming, code reviews, and design sessionsDefine reusable Python frameworks, accelerators, and templates for AI deliveryContribute to AI COE standards, reference architectures, and best practicesPre Sales & Growth SupportSupport pre sales by:Building working demos and POCs (not just slides)Reviewing technical feasibility and effort estimatesContribute to proposals with implementation level credibilityRequired QualificationsStrong hands on Python development experience (non negotiable)Proven experience building and deploying AI / ML / GenAI solutions , not just designing themExperience with:LLMs, prompt engineering, RAG, agents, embeddingsREST APIs, SDK based integrations, microservicesCloud native development on AWS and/or AzureExperience Profile10 15+ years overall experience with significant recent hands on AI work5+ years delivering AI / ML / Advanced Analytics solutions in productionExperience working in client facing, onshore rolesPreferred (but not mandatory)Experience with FastAPI / Flask for Python based AI servicesFamiliarity with vector databases, search, or document intelligenceHyperscaler AI certifications (AWS / Azure)Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.