Lead AI Architect

Roles & Responsibilities

• Own overall technical architecture direction and decision-making for Claude based Agentic AI implementation across the enterprise program.
• Lead architectural discussions with business stakeholders, enterprise architects, security, data, cloud, platform and engineering teams.
• Define target-state architecture, reference patterns, integration approach, guardrails, NFRs, deployment model and operating model for enterprise AI solutions.
• Chair design reviews and architecture governance forums; drive architecture decisions, trade-off analysis, risk mitigation and solution approvals.
• Complement AI Architects by providing enterprise-level architecture guardrails, cross-workstream alignment, technical governance and escalation support.
• Guide architecture teams and technical teams on implementation approaches, reusable components, coding standards, testing strategy and production readiness.
• Partner with domain architects and business teams to ensure AI solution designs align with business value, operating model needs and adoption priorities.
• Oversee architecture for agent workflows, RAG pipelines, knowledge ingestion, tool/API integrations, observability, LLMOps, security and AI FinOps.
• Ensure solutions meet enterprise standards for security, IAM, encryption, privacy, audit logging, model governance, data controls and regulatory compliance.
• Provide executive architecture updates, decision logs, technical roadmaps, delivery risks and recommendations to senior stakeholders.

Qualifications

• BACHELOR OF COMPUTER SCIENCE

Pay

Salary Range: $150,000 - 175,000 a year

Benefits

• TCS Employee Benefits Summary