[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Tata Consultancy Services jobs](https://jobs.opennash.com/companies/tata-consultancy-services/) · [Search jobs](/search/) Tata Consultancy Services · Owings Mills, MD # Lead AI Architect Owings Mills, MD Manager or lead $150,000 - 175,000 Last seen on Tata Consultancy Services’s official careers site on August 1, 2026; it may have closed since. [Apply on Tata Consultancy Services’s careers site →](https://ibegin.tcsapps.com/candidate/jobs/425350J) [OpenNash Jobs](https://jobs.opennash.com/) / [Tata Consultancy Services](https://jobs.opennash.com/companies/tata-consultancy-services/) / Lead AI Architect ## Job description ### 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