Job Title

Solutions Architect – GenAI, AI/ML & AWS CloudArchitect the Future of AI with goMLAt goML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the full potential of their data, drive intelligent automation, and create transformative AI-powered experiences. Our mission is to bridge the gap between state-of-the-art AI research and real-world enterprise applications - helping organizations innovate faster, make smarter decisions, and scale AI solutions seamlessly.We’re looking for a Solutions Architect with deep expertise in designing AI/ML and GenAI architectures on AWS. In this role, you’ll be responsible for crafting scalable, high-performance, and cost-effective AI solutions - leveraging AWS AI/ML services, modern data infrastructure, and cloud-native best practices. If you thrive in architecting intelligent, data-driven systems and love solving complex technical challenges, we’d love to hear from you!Why You? Why Now?Generative AI is reshaping industries, and businesses are looking for scalable, cost-efficient, and production-ready AI/ML solutions. This role is perfect for someone who loves solutioning AI/ML workloads, optimizing cloud infrastructure, and working directly with clients to drive real-world impact.At goML, you will:Own the architecture and solutioning of AI/ML and GenAI applicationsWork with sales & engineering leaders to scope customer needs & build proposalsDesign scalable architectures using AWS services like SageMaker, Bedrock, Lambda, and RedshiftInfluence high-impact AI/ML decisions while working closely with the co-foundersWhat You’ll Do (Key Responsibilities)First 30 Days: Foundation & OrientationDeep dive into goML’s AI/ML & GenAI solutions, architecture frameworks, and customer engagementsFamiliarize yourself with goML and AWS partnership workflowsWork alongside sales leaders to understand customer pain points & proposal workflowsReview and refine best practices for deploying AI/ML workloads on AWSStart contributing to solution architectures, and lead client discussionsFirst 60 Days: Execution & ImpactOwn customer AI/ML solutioning, including LLMOps, inference optimization, and MLOps pipelinesCollaborate with engineering teams to develop reference architectures & POCs for AI workloadsBuild strategies to optimize AI/ML model deployment, GPU utilization, and cost-efficiency in AWSAssist in sizing and optimizing AWS infrastructure for AI/ML-heavy workloadsWork closely with customers to translate GenAI and AI/ML requirements into scalable architecturesFirst 180 Days: Ownership & TransformationLead AI/ML architectural decisions for complex enterprise-scale AI projectsOptimize multi-cloud and hybrid AI/ML deployments across AWS, Azure, and GCPMentor team members on best practices for GenAI & cloud AI deploymentsDefine long-term strategies for AI-driven data platforms, model lifecycle management, and cloud AI accelerationRepresent goML in technical conferences, blogs, and AI/ML meetupsWhat You Bring (Qualifications & Skills)Must-Have:7-10 years of experience designing AI/ML and data-driven architectures on AWSAt least 2 years of hands-on experience in GenAI, LLMOps, or advanced AI/ML workloadsDeep expertise in AWS AI/ML services (SageMaker, Bedrock, Lambda, Inferentia, Trainium)Strong knowledge of AWS Data Services (S3, Redshift, Glue, Lake Formation, DynamoDB)Experience in optimizing AI/ML inference, GPU utilization, and MLOps pipelinesExcellent client-facing communication skills with experience in proposal writingNice-to-Have:Familiarity with Azure ML, GCP Vertex AI, and NVIDIA AI/ML servicesExperience in LangChain, RAG architectures, and multi-modal AI modelsKnowledge of MLOps automation, CI/CD for AI models, and scaling inference workloadsMeet Your Hiring ManagerYou’ll report to Prashanna Hanumantha Rao, who runs practice teams, engineering, delivery, and operations for goMLExpect a high-autonomy, high-impact environment, working closely with the co-founders and senior leadership to drive AI/ML innovation at goML.Why Work With Us?Remote-first, with offices in Coimbatore for in-person collaborationWork on cutting-edge GenAI & AI/ML challenges at scaleDirect impact on enterprise AI solutioning & technical strategyCompetitive salary, leadership growth opportunities and ESOPs down the line