AI Solution Architect

Role: AI Solution ArchitectLoc: 5 days office in Hyderabad Exp: 12+ years Employment Type: Full Time Job Summary We are seeking a highly experiencedAI Architect / GenAI & Agentic Systems Leadto design, develop, and scale enterprise-grade AI platforms and agentic solutions. The ideal candidate will possess deep expertise acrossGenerative AI, Agent Ops, cloud-native engineering, and AI platform strategy, with hands-on proficiency inLLMs, orchestration frameworks, and multi-cloud deployments. This role requires a strong technical leader who can architect and operationalize AI ecosystems aligned with enterprise governance, scalability, and compliance standards.Key Responsibilities Design and implementend-to-end AI architectures— spanning data ingestion, experimentation, model deployment, observability, and lifecycle management. Lead the development ofAgentic AI systemswith advanced features such as Agent Ops, observability, shared memory, A2A communication, and context-sharing via MCP. Architect and operationalizeenterprise AI marketplaces/registriesfor governed, self-service publishing and consumption of models, datasets, and agents. Build and managehorizontal AI services at scale— prompt/RAG APIs, vector & feature stores, guardrails, evaluation, and observability frameworks. Collaborate with data, cloud, and engineering teams to delivermulti-cloud AI platformsusing AWS, Azure, and GCP (especially Vertex AI, Agentspace, ADK). ImplementMLOps, AIOps, and Dev SecOpsbest practices for AI and agent lifecycle deployment, security, and monitoring. DevelopAI blueprintscovering retrieval pipelines, tool use, safety, zero-trust access, and multi-tenant isolation. Drivetransition from traditional AI → GenAI → Agentic architectures, supporting LLM fine-tuning, RAG workflows, and autonomous agents. Define and enforceAI governance, ethical AI, and data complianceframeworks aligned with enterprise policies. Lead cross-functional teams, ensuringSDLC and Agileprocess alignment, while mentoring engineers and data scientists. Partner with leadership to shapeAI platform strategy, integration roadmaps, and enterprise-wide adoption frameworks.Required Skills & Abilities Programming & AI Frameworks Proficiency inPython,Java,C#, orR. Hands-on experience withGenerative AI frameworks:TensorFlow, PyTorch, LangChain, OpenAI Codex, Claude, Gemini, HuggingFace. Strong understanding ofML/DL paradigms— supervised, unsupervised, and reinforcement learning. Agentic AI & Autonomous Systems Experience withAgentOps,Agent Observability, andAgent Lifecycle Management. Knowledge ofMCP (Model Context Protocol)for context sharing andA2A (Agent-to-Agent)communication. Familiarity withShared Memory architecturesandAgentic Workflow Orchestration. Ability to design and evaluatedeterministic vs autonomousagentic architectures. Cloud & Platform Engineering Deep proficiency inAWS, Azure, and GCP(especiallyVertex AI, Agentspace, and ADK). Expertise inInfrastructure as Code (IaC)usingTerraform, GitOps, Kubernetes. Strong grounding inSRE practices, includingSLOsanderror budgets. Experience integratingAI observability and policy enforcement gateways. MLOps, AIOps & DevSecOps Practical experience implementingCI/CD pipelines,model monitoring,governance, andversioning. Skilled inAIOps for automated performance monitoringandDevSecOpsfor secure AI lifecycle management. AI Architecture & Enterprise Integration Proven experience architectingAI Platforms,registries, andshared serviceswith lifecycle metadata and chargeback models. Strong understanding ofdata mesh,policy-driven AI gateways, andmulti-region resiliency. Knowledge ofsafety pipelines,evaluation harnesses, andguardrail frameworksfor LLMs and agents. Ethical & Responsible AI Deep understanding ofdata governance,privacy, andethical AI principles. Experience implementingresponsible AI frameworksensuring transparency and compliance. Leadership & Collaboration Strongleadership,mentoring, andstakeholder engagementabilities. Excellentcommunicationskills with cross-functional and executive teams. Proven ability to work inagile environmentsaligned withSDLCstandards.