Lead AI Architect

Must Have Technical/Functional Skills

• 15+ years of enterprise architecture, solution architecture and cloud architecture experience, with 5+ years leading AI/ML, GenAI or enterprise platform architecture programs.
• Proven ability to lead architecture discussions, technology decisions and design governance for Anthropic Claude based Agentic AI solutions, preferably on Amazon Bedrock.
• Deep understanding of AI architecture patterns including agent orchestration, multi-agent systems, RAG, vector databases, tool/function calling, MCP, guardrails, HITL and LLM evaluation.
• Strong AWS architecture knowledge across Bedrock, Lambda, API Gateway, Step Functions, ECS/EKS, S3, IAM, KMS, VPC, CloudWatch, CloudTrail, CI/CD and DevSecOps.
• Experience defining enterprise AI reference architectures, reusable patterns, architecture governance, NFRs, decision records, and target-state roadmaps.
• Strong understanding of AI governance, Responsible AI, model risk, security, privacy, data governance, auditability and compliance requirements in financial services.
• Ability to guide AI Architects, FDEs and engineering teams on design, scalability, resiliency, integration, observability, performance and cost optimization.
• Experience integrating AI platforms with enterprise applications, APIs, workflow systems, identity/access management, data platforms and in-house capabilities.
• Working knowledge of Asset Management, Investment Operations, Distribution, Client Reporting and Middle Office processes is preferred.

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.

Generic Managerial Skills, If any

• Strong executive stakeholder management and ability to influence architecture decisions across business, technology and risk stakeholders.
• Experience leading architects, senior engineers and cross-functional technical teams in complex transformation programs.
• Ability to build consensus, resolve conflicts and make crisp architecture decisions in ambiguous environments.
• Strong strategic thinking, technical judgment, risk management and dependency management skills.
• Ability to mentor AI Architects and engineering leads while maintaining delivery discipline and architecture consistency.
• Excellent communication, presentation, documentation and governance reporting skills for senior leadership audiences.

TCS Employee Benefits Summary Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

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

Qualifications: BACHELOR OF COMPUTER SCIENCE