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AI Solution Architect

AI Solution Architect

Intellectt IncHyderabad, Telangana, India
1 day ago
Job description

Role : AI Solution Architect

Loc : 5 days office in Hyderabad

Exp : 12+ years

Employment Type : Full Time

Job Summary

We are seeking a highly experienced AI Architect / GenAI & Agentic Systems Lead to design, develop, and scale enterprise-grade AI platforms and agentic solutions.

The ideal candidate will possess deep expertise across Generative AI, Agent Ops, cloud-native engineering, and AI platform strategy, with hands-on proficiency in LLMs, 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 implement end-to-end AI architectures — spanning data ingestion, experimentation, model deployment, observability, and lifecycle management.
  • Lead the development of Agentic AI systems with advanced features such as Agent Ops, observability, shared memory, A2A communication, and context-sharing via MCP.
  • Architect and operationalize enterprise AI marketplaces / registries for governed, self-service publishing and consumption of models, datasets, and agents.
  • Build and manage horizontal AI services at scale — prompt / RAG APIs, vector & feature stores, guardrails, evaluation, and observability frameworks.
  • Collaborate with data, cloud, and engineering teams to deliver multi-cloud AI platforms using AWS, Azure, and GCP (especially Vertex AI, Agentspace, ADK).
  • Implement MLOps, AIOps, and Dev SecOps best practices for AI and agent lifecycle deployment, security, and monitoring.
  • Develop AI blueprints covering retrieval pipelines, tool use, safety, zero-trust access, and multi-tenant isolation.
  • Drive transition from traditional AI → GenAI → Agentic architectures, supporting LLM fine-tuning, RAG workflows, and autonomous agents.
  • Define and enforce AI governance, ethical AI, and data compliance frameworks aligned with enterprise policies.
  • Lead cross-functional teams, ensuring SDLC and Agile process alignment, while mentoring engineers and data scientists.
  • Partner with leadership to shape AI platform strategy, integration roadmaps, and enterprise-wide adoption frameworks.

Required Skills & Abilities

Programming & AI Frameworks

  • Proficiency in Python, Java, C#, or R.
  • Hands-on experience with Generative AI frameworks : TensorFlow, PyTorch, LangChain, OpenAI Codex, Claude, Gemini, HuggingFace.
  • Strong understanding of ML / DL paradigms — supervised, unsupervised, and reinforcement learning.

    • Agentic AI & Autonomous Systems

  • Experience with AgentOps, Agent Observability, and Agent Lifecycle Management.
  • Knowledge of MCP (Model Context Protocol) for context sharing and A2A (Agent-to-Agent) communication.
  • Familiarity with Shared Memory architectures and Agentic Workflow Orchestration.
  • Ability to design and evaluate deterministic vs autonomous agentic architectures.

    • Cloud & Platform Engineering

  • Deep proficiency in AWS, Azure, and GCP (especially Vertex AI, Agentspace, and ADK).
  • Expertise in Infrastructure as Code (IaC) using Terraform, GitOps, Kubernetes.
  • Strong grounding in SRE practices, including SLOs and error budgets.
  • Experience integrating AI observability and policy enforcement gateways.

    • MLOps, AIOps & DevSecOps

  • Practical experience implementing CI / CD pipelines, model monitoring, governance, and versioning.
  • Skilled in AIOps for automated performance monitoring and DevSecOps for secure AI lifecycle management.

    • AI Architecture & Enterprise Integration

  • Proven experience architecting AI Platforms, registries, and shared services with lifecycle metadata and chargeback models.
  • Strong understanding of data mesh, policy-driven AI gateways, and multi-region resiliency.
  • Knowledge of safety pipelines, evaluation harnesses, and guardrail frameworks for LLMs and agents.

    • Ethical & Responsible AI

  • Deep understanding of data governance, privacy, and ethical AI principles.
  • Experience implementing responsible AI frameworks ensuring transparency and compliance.

    • Leadership & Collaboration

  • Strong leadership, mentoring, and stakeholder engagement abilities.
  • Excellent communication skills with cross-functional and executive teams.
  • Proven ability to work in agile environments aligned with SDLC standards.
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    Solution Architect • Hyderabad, Telangana, India