Enterprise Architect (Data & AI)

As an Enterprise Architect, you will own the end-to-end technology blueprint, spanning backend platforms (Java / .NET, Python), frontend frameworks (React, Angular, Node.js), real-time data streaming, and AI-driven / agentic services. You will translate business objectives into an actionable, multi-year technology and AI roadmap; ensure that every layer (application, data, infrastructure, security, AI, agentic agents) is aligned and future-proof; and act as the bridge between C-suite strategy, product, sales engineering (presales), and delivery teams.

Key Deliverables & Success Metrics

• Architecture & AI Roadmap
• Deliver a three-year, multi-domain blueprint covering cloud, data, integration, AI / ML, and agentic-AI agents
• Stand up an AI & Agentic Architecture Council (quarterly) driving adoption of generative AI, conversational agents, and MLOps standards
• AI-First Proof-of-Concepts & Agentic Demos
• Lead 4–6 POCs / year around AI / ML and agentic use cases (e.g., LLM-powered assistants, workflow orchestration bots)
• Measure POC success by model accuracy (+15% lift), inference latency (2× faster), and business KPIs (reduced support tickets, increased demo‐to‐close rate)
• Team Enablement & AI Mentorship
• Launch a monthly "AI & Agentic Deep Dive" series to upskill engineers, data scientists, and presales consultants on ML frameworks (TensorFlow, PyTorch), conversational-AI patterns, and agent orchestration
• Embed AI / agentic design patterns into standard playbooks (prompt engineering, feedback loops, multi-agent coordination)
• GTM & Presales Enablement
• Collaborate with Sales Engineering to craft technical demos, solution blueprints, and ROI analyses for enterprise prospects
• Support bid responses and RFPs with architecture diagrams, security / compliance narratives, and scalability proof points
• Resilience & Responsible AI
• Define and track system and model health metrics (system uptime ≥99.9%; model drift ≤5% per quarter)
• Lead "AI fairness & ethics" reviews, ensuring bias detection, explainability, and compliance with GDPR / ADA

Extended Responsibilities :

A. Strategic Architecture & Agentic-AI Planning

B. Solution & AI-Driven Design

C. Governance & Responsible AI

D. Leadership, GTM & Collaboration

E. AI & Agentic POC, Innovation, and GTM

Requirements :

Mandatory Skills & Expertise

Preferred Attributes :

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Skills Required

Ml, Java, .NET, Kafka, Node.js, Ai, Angular, Tensorflow, React, Pytorch, Docker, Spark, Azure, Python, Kubernetes, Aws