Principal - Architecture

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Principal - Architecture

• Job ID: 901012
• 12 - 15 Years
• 1 Opening
• Dallas - Texas - USA

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Role description

Job Title : Principal AI Platform Architect

Location : Dallas, TX(Remote)

Job Description :

Summary

We are seeking a highly experienced Principal AI Platform Architect to lead the design, development, and operationalization of enterprise-scale AI platforms and agentic AI solutions. This role requires a hands-on technology leader with deep expertise in Generative AI, Agentic Systems, Cloud Architecture, Platform Engineering, DevOps, and AI Operations (AIOps).

The ideal candidate will combine strong software engineering skills with modern AI platform expertise to build scalable, secure, and production-ready AI capabilities leveraging AWS and other cloud technologies. The individual will collaborate with enterprise architecture, engineering, operations, security, and business stakeholders to drive AI-powered transformation initiatives across the organization.

This is a hands-on architecture role requiring active contribution to solution design, coding, platform development, governance, and enterprise adoption of AI technologies.

Key Responsibilities

AI & Agentic Platform Architecture

• Design and implement enterprise AI platforms supporting GenAI, RAG, Agentic AI, and AI-powered automation workloads.
• Architect multi-agent systems leveraging AWS Bedrock, AgentCore, MCP (Model Context Protocol), and modern agent orchestration frameworks.
• Define enterprise AI reference architectures, reusable frameworks, and technical standards.
• Lead solution design for AI-powered copilots, assistants, intelligent workflows, and autonomous agents.
• Establish AI governance, security, observability, and operational frameworks.

AI Engineering & Application Development

• Build and deploy production-grade AI applications leveraging Large Language Models (LLMs) and foundation models.
• Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.
• Design APIs, microservices, and event-driven architectures supporting AI workloads.
• Develop scalable backend services utilizing Python, Go, Java, or .NET technologies.
• Implement AI model lifecycle management practices including deployment, monitoring, evaluation, and continuous improvement.

Cloud & Platform Engineering

• Architect and implement cloud-native AI platforms on AWS, Azure, and/or GCP.
• Design highly available and secure platforms leveraging containerized and serverless architectures.
• Build self-service AI capabilities enabling rapid onboarding of development teams.
• Lead enterprise cloud modernization and AI transformation initiatives.
• Establish infrastructure automation and platform governance standards.

DevOps, MLOps & Automation

• Design and implement CI/CD pipelines for AI and cloud-native applications.
• Automate platform provisioning using Terraform, CloudFormation, Infrastructure as Code (IaC), and GitOps methodologies.
• Implement AI application deployment strategies, environment management, and release governance.
• Drive engineering productivity through adoption of AI-assisted development tools and modern software delivery practices.

Observability & AIOps

• Implement enterprise observability frameworks covering AI applications, infrastructure, and distributed systems.
• Design monitoring, tracing, and telemetry solutions leveraging OpenTelemetry and industry-leading observability platforms.
• Build operational intelligence capabilities using AIOps solutions and predictive analytics platforms.
• Define AI application monitoring standards including prompt tracing, model performance tracking, token consumption analysis, and operational diagnostics.
• Improve reliability, resilience, and operational efficiency of business-critical platforms.

Leadership & Stakeholder Management

• Collaborate with enterprise architecture, cybersecurity, operations, engineering, and business teams.
• Provide technical leadership and mentorship to architects and engineering teams.
• Drive architecture reviews, technology selection, governance discussions, and executive-level communications.
• Influence enterprise AI strategy, platform roadmaps, and transformation programs.

Required Technical Skills

Programming Languages

• Python (Mandatory)
• Go
• Shell Scripting
• Java (Preferred)
• .NET

AI & Generative AI Technologies

• Generative AI (GenAI)
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AgentCore
• Model Context Protocol (MCP)
• AWS Bedrock
• Amazon SageMaker
• Vector Databases
• Model Lifecycle Management
• Agentic AI Frameworks and Multi-Agent Architectures

AI Coding Assistants / Copilots

• Kiro
• GitHub Copilot
• Amazon Q or comparable AI coding assistants

Cloud Platforms

• AWS (Strong preference)
• Microsoft Azure
• Google Cloud Platform (GCP)

DevOps & Automation

• Terraform
• CloudFormation
• GitHub Actions
• GitLab CI/CD
• Jenkins
• ArgoCD
• FluxCD
• Azure DevOps

Container & Platform Engineering

• Kubernetes
• Amazon EKS
• Docker
• Helm
• Istio
• Service Mesh Technologies

AIOps Platforms

• Moogsoft
• BigPanda
• Dynatrace Davis AI
• Splunk ITSI
• AI-driven Event Correlation Platforms
• Predictive Analytics Solutions

Monitoring & Observability

• Datadog
• Dynatrace
• Splunk
• New Relic
• Grafana
• Prometheus
• Elastic Stack
• OpenTelemetry

Required Experience

• 12+ years of experience in AI, Cloud Engineering, DevOps, Site Reliability Engineering (SRE), Platform Engineering, or related technology domains.
• 3+ years of hands-on experience designing and implementing AI/GenAI solutions in production environments.
• 5+ years of experience designing enterprise-scale platforms and cloud-native architectures.
• 3+ years of experience implementing AIOps, observability, or operational intelligence solutions.
• Proven experience delivering enterprise cloud transformation and modernization programs.
• Experience supporting mission-critical, highly regulated, or large-scale enterprise environments.
• Strong understanding of AI/ML operational frameworks, platform governance, and deployment best practices.
• Demonstrated experience leading cross-functional initiatives involving architecture, engineering, operations, and security teams.
• Experience implementing production-grade RAG, agentic AI, and AI platform solutions preferred.

Preferred Qualifications

• AWS Solutions Architect Professional Certification
• AWS AI/ML Specialty Certification
• Experience within Financial Services, Insurance, Healthcare, Telecommunications, or other regulated industries.
• Experience building enterprise AI Centers of Excellence (CoE).
• Experience defining AI governance, responsible AI, and model risk management frameworks.

Skills

Mandatory Skills : AWS Cloud Architecture

Other details

Variable Compensation: This position includes a bonus or variable payout component based on individual and organizational performance. Actual compensation within the range will be dependent upon the individual''s skills, experience, performance and internal equity.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree ("LTIM"):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Benefits

Compensation range: $ 140,000.00 to 160,000.00 per year

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About LTM

LTM is an AI-centric global technology services company and the Business Creativity partner to the world's largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI - enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM - a Larsen & Toubro company - owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltm.com/careers/recruitment-fraud-alert

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