AI Solution Lead-Generative AI & Large Language Models

<div class="content-intro"><p>Orion Innovation is a premier, award-winning, global business and technology services firm.&nbsp; Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity.&nbsp; We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.</p></div><p>&nbsp;</p> <p><strong>Job Title:</strong></p> <p><strong>AI Solution Lead– Generative AI &amp; Large Language Models</strong></p> <p><strong>Overview</strong></p> <p>We are seeking an&nbsp;<strong>AI Architect specializing in Generative AI and Large Language Models (LLMs)</strong>&nbsp;to help design, deploy, and scale AI solutions for enterprise clients.</p> <p>This role requires&nbsp;<strong>deep expertise in machine learning and data science</strong>, particularly in the&nbsp;<strong>design, evaluation, and operationalization of modern language models and generative AI systems</strong>.</p> <p>The AI Architect will work closely with engineering teams and client stakeholders to&nbsp;<strong>translate cutting-edge AI capabilities into reliable production systems</strong>, while ensuring&nbsp;<strong>governance, transparency, and responsible AI practices</strong>.</p> <p>The ideal candidate combines&nbsp;<strong>technical depth, research awareness, and strong communication skills</strong>, enabling them to represent our company confidently in front of senior client stakeholders.</p> <p><strong>Key Responsibilities</strong></p> <p><strong>AI Architecture &amp; Solution Design</strong></p> <ul> <li>Design and architect&nbsp;<strong>enterprise-grade AI solutions leveraging Generative AI and Large Language Models</strong>.</li> <li>Define architecture for&nbsp;<strong>LLM-based systems, agentic workflows, retrieval-augmented generation (RAG), and AI copilots</strong>.</li> <li>Evaluate and select appropriate&nbsp;<strong>models, frameworks, and infrastructure</strong>&nbsp;for production AI systems.</li> <li>Ensure scalability, reliability, and performance of deployed AI solutions.</li> </ul> <p><strong>Machine Learning &amp; Model Expertise</strong></p> <ul> <li>Provide deep technical expertise in:</li> <li class="ql-indent-1">Large Language Models (LLMs)</li> <li class="ql-indent-1">Transformer architectures</li> <li class="ql-indent-1">Generative AI techniques</li> <li class="ql-indent-1">Model evaluation and benchmarking</li> <li>Design approaches for&nbsp;<strong>fine-tuning, prompt engineering, and model adaptation</strong>.</li> <li>Guide teams on best practices in&nbsp;<strong>ML pipelines, experimentation, and model lifecycle management</strong>.</li> </ul> <p><strong>Production Deployment &amp; MLOps</strong></p> <ul> <li>Lead deployment of&nbsp;<strong>machine learning and GenAI systems into production environments</strong>.</li> <li>Architect and implement&nbsp;<strong>MLOps pipelines</strong>, model monitoring, and continuous improvement processes.</li> <li>Ensure AI systems are&nbsp;<strong>secure, scalable, and operationally maintainable</strong>.</li> </ul> <p><strong>AI Governance &amp; Responsible AI</strong></p> <ul> <li>Implement frameworks for:</li> <li class="ql-indent-1"><strong>AI governance</strong></li> <li class="ql-indent-1"><strong>Model explainability</strong></li> <li class="ql-indent-1"><strong>Transparency</strong></li> <li class="ql-indent-1"><strong>Risk management</strong></li> <li>Ensure compliance with&nbsp;<strong>enterprise AI governance standards and regulatory expectations</strong>.</li> <li>Define policies for&nbsp;<strong>model validation, bias mitigation, and responsible deployment</strong>.</li> </ul> <p><strong>Client Engagement &amp; Technical Leadership</strong></p> <ul> <li>Act as a&nbsp;<strong>trusted technical advisor</strong>&nbsp;to client stakeholders.</li> <li>Clearly communicate complex AI concepts to&nbsp;<strong>executives, architects, and engineering teams</strong>.</li> <li>Represent the company with credibility in&nbsp;<strong>technical and strategic discussions around AI adoption</strong>.</li> <li>Work closely with client teams to translate business problems into AI-driven solutions.</li> </ul> <p><strong>Research &amp; Innovation</strong></p> <ul> <li>Stay current with emerging developments in:</li> <li class="ql-indent-1">Generative AI</li> <li class="ql-indent-1">Large language models</li> <li class="ql-indent-1">AI agents and agentic architectures</li> <li class="ql-indent-1">AI infrastructure and tooling</li> <li>Evaluate new research and technologies to determine their&nbsp;<strong>practical applicability in enterprise environments</strong>.</li> <li>Help shape the organization’s&nbsp;<strong>AI strategy and technical direction</strong>.</li> </ul> <p><strong>Required Qualifications</strong></p> <ul> <li>Master’s degree in&nbsp;<strong>Data Science, Machine Learning, Computer Science, or related field</strong>.</li> <li>Strong expertise in&nbsp;<strong>machine learning fundamentals and modern generative AI technologies</strong>.</li> <li>Proven experience designing and deploying&nbsp;<strong>AI/ML systems in production environments</strong>.</li> <li>Deep knowledge of:</li> <li class="ql-indent-1">Large Language Models</li> <li class="ql-indent-1">Generative AI architectures</li> <li class="ql-indent-1">ML pipelines and model lifecycle management</li> <li>Experience working with&nbsp;<strong>AI frameworks and ecosystems used for building GenAI applications</strong>.</li> <li>Experience implementing&nbsp;<strong>AI governance, explainability, and responsible AI practices</strong>.</li> <li>Strong understanding of&nbsp;<strong>enterprise software architecture and distributed systems</strong>.</li> </ul> <p><strong>Preferred Qualifications</strong></p> <ul> <li>Experience with&nbsp;<strong>agentic AI systems and orchestration frameworks</strong>.</li> <li>Experience building&nbsp;<strong>RAG-based AI systems</strong>.</li> <li>Familiarity with&nbsp;<strong>AI platform engineering and scalable AI infrastructure</strong>.</li> <li>Contributions to&nbsp;<strong>AI research, open-source projects, or technical publications</strong>.</li> <li>Experience working with&nbsp;<strong>enterprise clients in regulated industries</strong>.</li> </ul> <p><strong>Key Skills</strong></p> <p><strong>Technical Skills</strong></p> <ul> <li>Machine Learning &amp; Data Science</li> <li>Large Language Models (LLMs)</li> <li>Generative AI systems</li> <li>AI agents and agentic architectures</li> <li>MLOps and model lifecycle management</li> <li>AI governance and explainability</li> </ul> <p><strong>Professional Skills</strong></p> <ul> <li>Strong analytical and problem-solving capabilities</li> <li>Excellent communication and presentation skills</li> <li>Ability to simplify complex AI concepts for diverse audiences</li> <li>Collaborative mindset and ability to work effectively within teams</li> <li>Client-facing professionalism and credibility</li> </ul> <p><strong>Work Environment</strong></p> <ul> <li>Full-time&nbsp;<strong>in-office role</strong>&nbsp;with collaboration across engineering and client teams.</li> <li>Weekly&nbsp;<strong>client visits for workshops, architecture discussions, and solution design sessions</strong>.</li> <li>High collaboration with&nbsp;<strong>data scientists, engineers, architects, and business stakeholders</strong>.</li> </ul> <p><strong>What Success Looks Like in This Role</strong></p> <ul> <li>Successfully architect and deliver&nbsp;<strong>production-grade AI systems</strong>.</li> <li>Become a&nbsp;<strong>trusted AI advisor</strong>&nbsp;to both internal teams and client stakeholders.</li> <li>Ensure&nbsp;<strong>responsible and governed adoption of AI technologies</strong>.</li> <li>Help organizations translate&nbsp;<strong>GenAI innovation into real operational value</strong>.</li> </ul> <p>&nbsp;</p><div class="content-conclusion"><p>Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.</p> <p>Candidate Privacy Policy</p> <p>Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This&nbsp;<a href="https://www.orioninc.com/candidate-data-privacy-policy/">Candidate Privacy Policy (orioninc.com)</a> (“Notice”) explains:</p> <ul> <li>What information we collect during our application and recruitment process and why we collect it;</li> <li>How we handle that information; and</li> <li>How to access and update that information.</li> </ul> <p>Your use of Orion services is governed by any applicable terms in this notice and our general&nbsp;<a href="https://www.orioninc.com/privacy-policy/">Privacy Policy</a>.</p> <p>&nbsp;</p></div>