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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Architect - Generative AI & Enterprise Solutions - **Company:** EXL SERVICE - **Location:** United States - **Experience:** Expert - **Salary:** $150,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Cloud Computing, Continuous Integration, Github, Identity and Access Management, Cloud Services, SonarQube, Toolchain, Large Language Models, Multi-Agent Systems, Generative AI, AI Platforms, Infrastructure Automation Frameworks, Information Technology, Low Latency, Jenkins, Artifactory - **Published:** July 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b13fe0db4ad2574a ## About the Role * Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. * 10+ years of experience in software/AI engineering and architecture, including senior technical leadership on large-scale systems. * Recognized depth in generative AI: LLMs, prompt/context engineering, RAG, agent frameworks (e.g., LangChain, Amazon Bedrock Agents), and agent harnesses. * Proven track record designing and running GenAI solutions in production at scale - including evaluation, observability, cost, and reliability. * Deep hands-on knowledge of AWS and its AI services (e.g., Amazon Bedrock), plus core cloud infrastructure (compute, networking, IAM, containers). * Strong grounding with enterprise architecture practices, integration, and the modern DevOps toolchain (GitHub, Jenkins, Artifactory, SonarQube). * Exceptional communication and executive-presence skills - able to hold credible, persuasive CXO-level conversations and articulate complex technology in business terms. * Solid understanding of responsible-AI, security, and data-governance considerations for enterprise AI. ## Description * Drive the end-to-end architecture and technical vision for generative AI within the function - reference architectures, patterns, and standards that teams build against. * Make authoritative technology decisions, selecting the right models, frameworks, and agent harnesses for each use case, balancing capability, latency, cost, and risk. * Move solutions from proof-of-concept to production with realistic, production-grade designs - covering orchestration, retrieval (RAG), evaluation, observability, guardrails, and human-in-the-loop. * Integrate GenAI into the existing cloud solutions and automation platform (AWS, CI/CD toolchain, ITSM) so GenAI is a first-class, governed capability. Running AI at Scale * Design for scale and operational excellence for GenAI workloads - throughput, latency, reliability, and cost optimization (token economics, caching, model routing). * Establish the operational foundation including evaluation pipelines, monitoring, drift/quality management, and incident response for Agentic solutions. * Bake in guardrails such as security, data privacy, responsible-AI, hallucination mitigation, and regulatory compliance into every architecture. Executive Engagement & Strategy * Advise and influence to CXO-level leaders, translating complex AI concepts into clear business value, trade-offs, risks, and roadmaps. * Shape the generative-AI strategy and roadmap for the enterprise, aligning technology investment with business outcomes and priorities. * Build and present business cases, ROI, and build-vs-buy analyses for AI initiatives. * Serve as an evangelist and trusted expert - to executives, engineering teams, and external partners - and champion an enterprise AI vision. Enablement & Governance * Mentor and upskill engineering teams and set architecture governance, review gates, and reusable building blocks. * Define and steward AI governance, standards, and best practices in partnership with security, data, and legal. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Speeding up Web Apps performance with WebAssembly and Emscripten](https://www.wearedevelopers.com/videos/1985-speeding-up-web-apps-performance-with-webassembly-and-emscripten) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [The Power of Developer Communities](https://www.wearedevelopers.com/videos/1109-the-power-of-developer-communities) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)