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EXL

AI Architect

EXL

AI Architect designing and governing architecture for agentic AI-enabled platforms. Leading technical execution across AI, data, and platform teams with a focus on integration and safety.

Posted 6/3/2026full-timeJersey City • New Jersey • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies
Distributed SystemsMicroservices.NETPython

About the role

Key responsibilities & impact
  • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers with some real hands-on experience doing POCs
  • Design and govern agentic orchestration framework for multi-step production workflows
  • Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation
  • Have a deep understanding of Agentic coding and best practices of using Agentic coding for large scale implementations
  • Familiarity in implementing A2A or similar frameworks in a large scale environment
  • Define integration architecture across - Lakehouse, ODS, document systems, Underwriting systems and third-party APIs
  • Design configurable, metadata-driven framework for multi-LOB onboarding
  • Define API/microservices patterns (Python/.NET hybrid)
  • Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows
  • Establish multimodal integration approach combining structured, unstructured, and external data
  • Design prompt lifecycle, evaluation, and optimization strategy
  • Define AI safety and guardrails (PII, hallucination control, policy constraints)
  • Establish ModelOps and PromptOps frameworks
  • Ensure explainability, auditability, and traceability of AI outputs
  • Lead technical execution across AI, data, and platform teams
  • Guide engineers (AI, data, full-stack) and ensure alignment with architecture
  • Drive technical decisions and stakeholder communication

Requirements

What you’ll need
  • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture
  • Background: Strong experience in designing enterprise-scale platforms and distributed systems
  • Domain (good to have): Insurance / reinsurance / financial services
  • Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
  • Profile Type: Hands-on architect with ability to balance strategy + execution

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account EXL Website LinkedIn All Job Openings 10,000+ employees 💰 $2M Venture Round on 2015-01 Choosing a digital partner is about more than capabilities — it’s about collaboration and character. AI Architect 🔥 1 hour ago 🏢🏡 Jersey City – Hybrid ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer Distributed Systems Microservices Python .NET Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Define end-to-end architecture for agentic AI-enabled platform across data, AI, orchestration, and integration layers with some real hands-on experience doing POCs
  • Design and govern agentic orchestration framework for multi-step production workflows
  • Establish architecture patterns for - RAG and grounding, Vector search and retrieval, MCP tool access layer, prompt management and evaluation
  • Have a deep understanding of Agentic coding and best practices of using Agentic coding for large scale implementations
  • Familiarity in implementing A2A or similar frameworks in a large scale environment
  • Define integration architecture across - Lakehouse, ODS, document systems, Underwriting systems and third-party APIs
  • Design configurable, metadata-driven framework for multi-LOB onboarding
  • Define API/microservices patterns (Python/.NET hybrid)
  • Define where and how to use - GenAI vs deterministic logic, agentic workflows vs pipeline workflows
  • Establish multimodal integration approach combining structured, unstructured, and external data
  • Design prompt lifecycle, evaluation, and optimization strategy
  • Define AI safety and guardrails (PII, hallucination control, policy constraints)
  • Establish ModelOps and PromptOps frameworks
  • Ensure explainability, auditability, and traceability of AI outputs
  • Lead technical execution across AI, data, and platform teams
  • Guide engineers (AI, data, full-stack) and ensure alignment with architecture
  • Drive technical decisions and stakeholder communication 🎯 Requirements
  • Experience: 10–15+ years in software/data/AI engineering with 4–6+ years in AI/ML/GenAI architecture
  • Background: Strong experience in designing enterprise-scale platforms and distributed systems
  • Domain (good to have): Insurance / reinsurance / financial services
  • Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field
  • Profile Type: Hands-on architect with ability to balance strategy + execution Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Lead AI Engineer – Banking Technology 🕒 April 17 Citi 10,000+ employees 🏦 Banking 💸 Finance 💳 Fintech Website LinkedIn All Job Openings Lead AI Engineer defining, architecting, and delivering enterprise-scale AI solutions for investment banking technology. Driving adoption of generative AI platforms to improve efficiency and risk reduction. 🏢🏡 Jersey City – Hybrid 💵 $176.7k - $265.1k / year 💰 Post-IPO Equity on 2018-05 ⏰ Full Time 🟠 Senior 🤖 AI Engineer 🦅 H1B Visa Sponsor Angular Docker Java JavaScript Kubernetes Microservices Node.js Python PyTorch Spring Spring Boot SpringBoot Tensorflow TypeScript View More AI Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools
AI architectureagentic codingAPI designmicroservicesdata integrationorchestration frameworksmodelOpspromptOpsvector searchlarge scale implementations
Soft Skills
leadershipstakeholder communicationtechnical executionguidancestrategy execution