New 
Ai Architect
 Tata Consultancy Services | |
$170,000 - $175,000
| |
sick time, 401(k)
| |
 United States, Missouri, Bridgeton | |
 Nov 04, 2026 | |
|
Job Description
Must Have Technical/Functional Skills
Enterprise AI Architect with Full Development Experience (FDE), possessing deep expertise in architecture, hands-on software engineering, AI-assisted development, Agentic AI frameworks, DevSecOps, platform engineering, cloud-native solutions, and enterprise data platforms. Proven ability to architect, develop, secure, automate, and operationalize large-scale AI and software solutions while driving engineering excellence through GitHub Copilot, Claude Code, Codex, Databricks Genie, Snowflake Cortex, and modern AI-powered software delivery practices. Key Responsibilities 1. Enterprise AI & Solution Architecture * Lead the architecture, design, and implementation of enterprise-scale AI solutions using modern architectural patterns, clean architecture principles, domain-driven design (DDD), and cloud-native technologies. * Define enterprise AI reference architectures, engineering standards, development frameworks, and implementation guardrails to ensure scalability, maintainability, security, and operational excellence. * Drive adoption of Agentic AI, AI-powered software engineering, and intelligent automation across the software delivery lifecycle. * Architect solutions with built-in observability, resilience, governance, security, and compliance from inception through production deployment. * Partner with business, engineering, security, and platform teams to align AI capabilities with enterprise technology strategy and business outcomes. 2. Full Development Experience (FDE) and Engineering Excellence * Demonstrate hands-on full-stack development experience spanning frontend, backend, APIs, data platforms, cloud services, and AI-enabled applications. * Lead development teams in implementing modern engineering practices including test-driven development (TDD), CI/CD automation, code quality enforcement, and platform engineering standards. * Define and enforce software engineering best practices with mandatory automated test coverage, code reviews, architecture reviews, and deployment quality controls. * Drive modernization of legacy applications through refactoring, cloud migration, microservices transformation, and AI-assisted development methodologies. * Establish engineering productivity frameworks leveraging AI coding assistants, automated development workflows, and intelligent code generation. 3. Secure-by-Design AI Platforms * Architect secure AI and software platforms aligned with OWASP standards, Zero Trust principles, and enterprise cybersecurity requirements. * Implement enterprise controls for HIPAA, PHI, PII, GDPR, and regulatory compliance across data, applications, and AI workloads. * Integrate security validation throughout the development lifecycle using SAST, SCA, container scanning, secrets management, and policy-as-code frameworks. * Design auditable AI systems with governance, lineage, traceability, access controls, and compliance monitoring capabilities. 4. AI Engineering, DevSecOps, and Delivery Automation * Design and implement AI Engineering Harnesses supporting build validation, quality gates, security scanning, automated testing, and deployment automation. * Establish ent erprise DevSecOps frameworks integrating: * Static Application Security Testing (SAST) * Software Composition Analysis (SCA) * Container Security Scanning * Dependency Management * Policy Compliance Validation Page 1 Publication-ready Job Description * Infrastructure-as-Code Governance * Lead implementation of performance benchmarking frameworks for APIs, AI models, applications, and distributed platforms. * Build highly automated CI/CD pipelines enabling secure, reliable, and repeatable software delivery. 5. Agentic AI Development Frameworks * Design and operationalize multi-agent software engineering ecosystems to accelerate architecture, development, testing, security review, and governance activities. * Utilize specialized AI agents including: * Enterprise Architect Agent * Solution Architect Agent * Data Architect Agent * Backend Engineering Agent * Test Engineering Agent * Security Review Agent * Pull Request Review Agent * Drive adoption of agent-based development workflows to improve engineering productivity, software quality, and delivery velocity. 6. AI-Assisted Software Engineering Toolchain * Extensive hands-on experience using: * Visual Studio Code with GitHub Copilot * Claude Code * OpenAI Codex * Enterprise AI coding assistants * Leverage repository-wide reasoning, large-scale codebase analysis, architecture discovery, code modernization, and AI-assisted implementation patterns. * Architect AI-powered developer experiences integrating intelligent code review, automated remediation, documentation generation, and engineering workflow automation. 7. Data & AI Platform Architecture * Design and implement scalable data and AI platforms leveraging Databricks, Snowflake, cloud-native services, and modern data architectures. * Experience with: * Databricks Lakehouse * Databricks Genie * Delta Lake * ML/AI Pipelines * Snowflake Cortex/CoCo * Enterprise Data Governance * Enable self-service analytics, conversational AI, semantic data access, and enterprise-scale data engineering capabilities
Salary Range: $170,000-$175,000 a year
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 & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-DNI Location
Bridgeton, MO
Function
TECHNOLOGY
Role
Technical Architect
ID
438307
Skills
Javascript | Artificial intelligence
Salary Range
$170,000 - $175,000 Desired Candidate Profile
Qualifications BACHELOR OF COMPUTER SCIENCE | |