Senior AI Architect

About AivarAivar Innovations is revolutionizing enterprise AI transformation through production-grade accelerators and intelligent automation. We've delivered 60% efficiency gains, 95% faster processing, and 70% cost reductions for clients across regulated industries. Our AI-First philosophy powers flagship AI accelerators like Velogent AI (Agentic Process Automation), Convogent AI (Voice AI), and Kubogent AI (Enterprise AI Infrastructure on Kubernetes). We are looking for exceptional builders to join our journey.What You'll BuildAs Senior ML Architect, you'll architect the intelligence layer that powers Aivar's accelerators and client solutions. You'll design multi-agent systems for regulated industries, build production-grade ML infrastructure on Kubernetes, and pioneer agentic AI frameworks that autonomously execute complex business workflows. This isn't about optimizing accuracy by 2%—it's about building systems that eliminate 80% of manual work and unlock entirely new operational paradigms.The Impact You'll DriveArchitect Production AI SystemsDesign end-to-end ML architectures for Velogent AI's framework, enabling governed multi-agent systems in financial services, healthcare, and life sciencesBuild scalable inference infrastructure leveraging for sub-second latency throughputCreate MLOps pipelines integrating Kubeflow, MLflow, Ray, and Karpenter for distributed training and intelligent autoscaling on Amazon EKSAccelerator Innovation & Client DeliveryLead technical design of AI accelerator features—from distributed compute orchestration to multi-tenant isolation and disaster recovery patternsArchitect Convogent AI voice systems with real-time STT/TTS, contextual memory, and post-call analytics serving 250+ concurrent sessionsTranslate ambiguous business challenges into concrete ML solutions—from autonomous invoice processing to conversational intelligenceTechnical Leadership & EvangelismPartner with customers and cloud teams on enterprise AI engagements, conducting architecture reviews and POCs for Fortune 500 clientsDefine best practices for LLM serving, prompt engineering, guardrails, and model evaluation across accelerator productsMentor ML engineers on agentic design patterns, production ML, and cloud-native AI infrastructureContribute to internal R&D—experimenting with frontier models, emerging frameworks (MCPs, agent orchestration), and optimization techniquesWhat You BringCore Expertise8+ years building production ML systems, with 3+ years architecting at scale (distributed training, high-throughput inference, or MLOps platforms)Deep hands-on experience with ML workloads— GPU scheduling, autoscaling (Karpenter), distributed frameworks (Ray, Kubeflow)Strong foundation in LLM architectures and Generative AI—prompt engineering, RAG pipelines, model serving (vLLM, Triton, SageMaker), fine-tuning, and evaluationProficiency in MLOps tooling—experiment tracking (MLflow/Weights & Biases), feature stores, model registries, CI/CD for ML, monitoring frameworksTechnical DepthSolid software engineering skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, HuggingFace)Experience with cloud-native architectures on AWS—SageMaker, Bedrock, EKS, Lambda, managed databases, networking, IAMUnderstanding of agentic AI patterns—multi-agent orchestration, tool use (function calling), reasoning frameworks, validation layersKnowledge of voice AI technologies (STT/TTS, WebRTC, real-time streaming) or governance frameworks for regulated AI is a strong plusWhat Makes You SpecialBuilder mindset—you prototype fast, iterate based on feedback, and obsess over production reliabilityBusiness acumen—you translate technical decisions into ROI narratives that resonate with CTOs and business leadersCuriosity—you stay current with AI research, experiment with new models, and bring fresh ideas to the teamCommunication excellence—you create compelling architecture diagrams, write clear design docs, and present confidently to clientsWhy This Role is DifferentReal Production Impact: Your architectures won't gather dust in Jupyter notebooks—they'll process millions of transactions, handle thousands of voice calls, and power mission-critical workflows in banking and healthcare.Greenfield Innovation: Shape accelerator roadmaps from day one, experiment with cutting-edge AI paradigms, and see your designs become flagship products used by enterprise clients globally.Access & Growth: Work directly with AWS ProServe on strategic accounts, collaborate with former AWS Solution Architects, and gain exposure to diverse use cases across industries—from debt collection bots to autonomous RFQ management.Ownership: You'll own entire domains—from initial whiteboarding sessions to deployment strategies—with autonomy to make architectural decisions that define Aivar's technical direction.What We OfferCompetitive compensation in a high-growth AI startupMission-driven culture—we're building AI that augments human potential, not replaces itHow We HireStage 1: Intro call with our team—discuss your ML journey, architectural philosophy, and what excites you about AivarStage 2: Technical deep-dive—system design for an agentic AI use case, MLOps architecture discussion, or take-home design challengeStage 3: Client scenario simulation—present an ML solution strategy to our leadership team as if pitching to a clientStage 4: Culture & vision alignment—meet the founders, understand our roadmap, and ensure mutual fitReady to Build the Future?If you're energized by architecting intelligent systems that solve real-world problems at scale, if you want your work to directly impact how enterprises adopt AI responsibly, and if you believe the next decade belongs to agentic automation—we should talk.Apply now at hiring@aivar.tech with:Your resume/LinkedIn highlighting ML architecture experienceA 1-paragraph note on the most complex ML system you've architected (technical challenge, your approach, outcome)(Optional) Link to technical writing, GitHub projects, or architecture you're proud ofAivar Innovations is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment where all builders can thrive.Location: Coimbatore, Bangalore | Occasional travel for client engagements and team offsitesExperience: 8+ years in ML/AIPosted: October 2025