Platform Architect / AI Architect

Role: Platform Architect / AI Architect
Client: TCS
Location: McLean, VA – 100% Onsite (Day 1)
Experience: 14+ Years (Mandatory)

Skills Focus: AI & Generative AI – Platforms, Products & Tools

🔹 Role Overview

The AI Architect will define, design, and govern enterprise-wide AI and GenAI platforms, setting the long-term vision and standards for scalable, secure, and responsible AI adoption. This role requires deep expertise in LLMs, GenAI frameworks, vector databases, and cloud-native AI architectures.

🔹 Key Responsibilities

Define and own end-to-end enterprise AI architecture
Establish AI & GenAI strategy, roadmap, and operating model
Architect scalable AI platforms, reusable frameworks, and accelerators
Lead LLM-based and GenAI solution design
Design solutions leveraging vector databases and embeddings
Implement Responsible AI governance, compliance, and guardrails
Define enterprise AI standards, best practices, and guidelines
Partner with business, engineering, data science, and leadership teams
Drive AI platform adoption across multiple business units

🔹 Required Skills & Qualifications

14+ years of overall IT experience with strong architecture leadership
Proven experience as AI Architect / Platform Architect
Strong expertise in:
Generative AI & Large Language Models (LLMs)
Vector Databases (Pinecone, FAISS, Milvus, etc.)
Cloud AI platforms (Azure AI, AWS Bedrock, GCP Vertex AI)
MLOps / LLMOps
Experience with Responsible AI frameworks
Strong understanding of security, governance, and compliance for AI
Ability to influence senior stakeholders and executive leadership
Master’s degree in Computer Science or related field (preferred)