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AI Solution Architect

Synechron

 

Delhi, India

Posted On: 15 days ago
Experience: 15+ years
Availability: Onsite
Openings: 1
Category: AI Solution Architect
Tenure: Full-time Only
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Description

You will design and deliver enterprise-scale AI reference architectures spanning experience, agentic core, retrieval, orchestration, integration, models, data platform, and infrastructure layers.

This role is on-site.

Responsibilities

  • Design agentic and application architectures, including agent runtimes, reasoning loops, multi-agent orchestration, workflow routing, and human-in-the-loop controls.
  • Define AI guardrails and responsible AI controls, covering content filtering, prompt-injection defense, PII redaction, safety classifiers, and audit logging.
  • Architect integration and connectivity patterns using API gateways, service mesh, event streaming, and protocol mediation such as MCP and A2A.
  • Manage model serving and lifecycle capabilities, including model registries, inference infrastructure, fine-tuning, prompt libraries, and continuous evaluation.
  • Implement MLOps, LLMOps, and AgentOps practices, including CI/CD for models and agents, drift detection, quality monitoring, and cost metering.

Required Skills

  • 9–15+ years of overall technology experience.
  • 5+ years in Solution, Enterprise, Data, Platform, or AI Architecture roles.
  • Deep understanding of predictive AI, generative AI, foundation models, RAG, vector/hybrid search, and knowledge graphs.
  • Strong Azure architecture skills across landing zones, subscriptions, networking, identity management, and AI/data services.
  • Experience with on-premises architecture, including data center hosting, GPU capacity, Kubernetes, and secure connectivity.
  • Ability to design hybrid AI deployment patterns spanning Azure and on-premises environments, addressing data residency and latency.
  • Strong understanding of enterprise data platform capabilities, including governed data products, feature stores, lineage, and security controls.

Preferred Skills

  • Experience working within regulated, security-conscious, or governance-driven environments.
  • Knowledge of infrastructure platform capabilities, including autoscaling inference, isolated networks, and vulnerability scanning.

Education

Bachelor's degree

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