Lead AI Architect

Tata Consultancy Services; Owings Mills (MD); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Discretionary Annual Incentive

Medical Coverage

Parental Leaves

401K Plan

Training Reimbursement

Job summary

Tata Consultancy Services is seeking a senior Enterprise Architect to lead Claude-based Agentic AI initiatives across the enterprise. You will shape target-state architectures, establish governance, and drive alignment with security, data, and cloud teams.

The role emphasizes scalable, observable, and compliant AI solutions that integrate with enterprise systems. Ideal candidates will bring 15+ years in enterprise/solution architecture, 5+ years leading AI programs, and strong AWS Bedrock

Qualifications

• 15+ years of enterprise architecture, solution architecture and cloud architecture experience.
• 5+ years leading AI/ML, GenAI or enterprise platform architecture programs.
• Lead architecture discussions, technology decisions and design governance for Claude based Agentic AI solutions on Bedrock.
• Deep understanding of AI architecture patterns (agent orchestration, multi-agent, RAG, vector databases, tool/function calling).
• 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, governance, NFRs, decision records, roadmaps.
• AI governance, Responsible AI, security, privacy, data governance, auditability and compliance in financial services.
• Guide AI Architects and engineering teams on design, scalability, resiliency, integration, observability, performance and cost optimization.
• Integrating AI platforms with enterprise apps, APIs, workflows, IAM, data platforms and in-house capabilities.
• Working knowledge of Asset Management, Investment Operations, Distribution, Client Reporting and Middle Office processes.

Responsibilities

• Own technical architecture direction and decisions for Claude based Agentic AI implementation.
• Lead architecture discussions with stakeholders, enterprise architects, security, data, cloud, platform and engineering teams.
• Define target-state architecture, reference patterns, integration approach and operating model for enterprise AI solutions.
• Chair design reviews and architecture governance forums; drive decisions, risk mitigation and approvals.
• Provide enterprise-level guardrails, cross-workstream alignment, governance and escalation support.
• Guide implementation teams on reusable components, coding standards, testing strategy and production readiness.
• Partner with domain architects and business teams to align AI designs with business value and operating model needs.
• Oversee architecture for agent workflows, RAG pipelines, knowledge ingestion, tool integrations, observability, LLMOps and AI FinOps.
• Ensure compliance with security, IAM, encryption, privacy, audit logging and data governance.
• Provide executive architecture updates, decision logs, roadmaps and delivery risk assessments to senior stakeholders.

Skills

Enterprise Architecture

AI/ML Leadership

Cloud Architecture

AWS Bedrock

Architecture Governance

Security & Compliance

Observability

Cost Optimization

Stakeholder Management

Vendor/Tool Evaluation

Education

Bachelor of Computer Science

Tools

AWS CloudWatch

CI/CD

KMS

VPC

Job description

Job Description

• 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.
• 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.

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