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AI Technical Architect

Capco • US - Charlotte

Job Description

<p data-start="0" data-end="124">Generative AI Architect<br data-start="23" data-end="26">Location: Charlotte, NC | Practice Area: Technology & Engineering | Type: Permanent</p> <p data-start="126" data-end="229"><strong data-start="126" data-end="227">Shape the architecture of enterprise-scale generative AI solutions at the forefront of innovation</strong></p> <p data-start="231" data-end="664"><strong data-start="231" data-end="243">The Role</strong><br data-start="243" data-end="246">As part of Capco’s Technology Delivery Team, you will apply deep expertise in architecture, AI, and modern engineering practices to design and deliver next-generation solutions. As a Generative AI Architect, you will lead the definition and implementation of scalable, secure, and enterprise-grade AI systems, guiding projects from concept through to production while aligning technology with strategic business goals.</p> <p data-start="666" data-end="686"><strong data-start="666" data-end="684">What You’ll Do</strong></p> <ul data-start="687" data-end="1252"> <li data-section-id="1gak42d" data-start="687" data-end="807">Define and deliver enterprise-wide architecture for generative AI and agentic systems aligned to business objectives</li> <li data-section-id="1gx1hv3" data-start="808" data-end="915">Design scalable, modular solution patterns and integrate foundation models into enterprise environments</li> <li data-section-id="1mmkmyj" data-start="916" data-end="1023">Architect and implement agentic AI systems, including workflows, orchestration, and system integrations</li> <li data-section-id="okk0if" data-start="1024" data-end="1145">Establish robust cloud-native infrastructure and MLOps pipelines for deployment, monitoring, and lifecycle management</li> <li data-section-id="1aot2mm" data-start="1146" data-end="1252">Collaborate across teams, mentor colleagues, and contribute to innovation and thought leadership in AI</li> </ul> <p data-start="1254" data-end="1282"><strong data-start="1254" data-end="1280">What We’re Looking For</strong></p> <ul data-start="1283" data-end="1757"> <li data-section-id="18qwioy" data-start="1283" data-end="1363">Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field</li> <li data-section-id="ad84b2" data-start="1364" data-end="1460">10+ years of experience in software architecture, including hands-on work with AI/ML systems</li> <li data-section-id="em2z21" data-start="1461" data-end="1544">Strong expertise in generative AI, foundation models, and agentic AI frameworks</li> <li data-section-id="y17gdu" data-start="1545" data-end="1656">Proficiency in Python and experience with leading AI/ML frameworks and cloud platforms (AWS, Azure, or GCP)</li> <li data-section-id="12cfyyj" data-start="1657" data-end="1757">Proven ability to communicate complex technical concepts and influence technical decision-making</li> <li data-section-id="12cfyyj" data-start="1657" data-end="1757">WIllingness to work in our office 3 days/week</li> </ul> <p data-start="1759" data-end="1781"><strong data-start="1759" data-end="1779">Bonus Points For</strong></p> <ul data-start="1782" data-end="2181"> <li data-section-id="yrec42" data-start="1782" data-end="1857">Experience with prompt engineering and advanced RAG-based architectures</li> <li data-section-id="13u2pr5" data-start="1858" data-end="1939">Familiarity with vector databases and unstructured data processing techniques</li> <li data-section-id="d9j1h1" data-start="1940" data-end="2016">Experience implementing MLOps frameworks and production-grade AI systems</li> <li data-section-id="cy1tme" data-start="2017" data-end=

Job Reference ID: CF-168816 • Posted on CloudFrame Job Scanner