Senior AI Software Consulting Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $107.3k - $150.2k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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Logo of CDW

CDW

10,000+ employees

Founded 1984

💼 Consulting

🏥 Healthcare

📚 Education

💰 Post-IPO Equity on 2015-07

Consulting • Healthcare • Education

CDW is a leading provider of technology solutions, offering a comprehensive range of products and services to address the needs of enterprises, government, healthcare, and education sectors. They specialize in providing IT infrastructure services, managed services, and security solutions. CDW partners with top technology brands to deliver customized solutions that enhance business productivity and performance across various industries. With a strong focus on digital transformation, security, and cloud solutions, CDW supports businesses in navigating the complexities of modern IT environments. Their expertise spans several domains, including digital workspaces, cybersecurity, and enterprise solutions, making CDW a key partner in driving technological advancements.

📋 Description

• Lead the technical design and delivery of complex AI software, generative AI, agentic AI, model-serving, and MLOps engagements • Regularly interface with client technical and business stakeholders, project sponsors, architects, and delivery leadership on complex engagements • Work with professional services managers, architects, project managers, sales teams, partners, and clients to manage expectations, risks, decisions, and timelines • Serve as the technical point of contact for customer engagements and provide guidance on application architecture, integration, security, observability, evaluation, and operational readiness • Mentor engineers in software design, development, testing, troubleshooting, documentation, and customer delivery practices • Support sales activities by contributing to discovery, solution validation, proposals, SOWs, ROMs, LOEs, and presentations • Create and maintain accurate project documentation, as-built configurations, test plans, work logs, and client handoff materials

🎯 Requirements

• Bachelor’s degree and 5 years’ experience delivering complex software, data, or AI/ML solutions, including planning, development, implementation, integration, and support OR 9 years’ experience delivering complex software, data, or AI/ML solutions, including planning, development, implementation, integration, and support • Demonstrated ability to design and lead implementation of production-grade AI applications and MLOps solutions • Advanced software development experience using Python, APIs, containers, Kubernetes, Git, automated testing, and CI/CD • Experience with NVIDIA NIM, NVIDIA Blueprints, model-serving platforms, PyTorch, Hugging Face, or comparable AI software ecosystems • Experience designing retrieval-augmented generation, vector search, agentic workflows, enterprise integrations, and evaluation approaches • Working knowledge of model optimization, inference patterns, security, observability, data governance, and production operations • Understanding GPU infrastructure, accelerated computing dependencies, and how software architecture decisions affect performance and scalability • Demonstrated ability to research advanced technologies, evaluate alternatives, make recommendations, and present findings to clients and management • Strong written, presentation, and verbal communication skills, including experience presenting technical recommendations from a business perspective • History of balancing competing priorities, leading through ambiguity, and escalating risks with clear alternatives and impacts • Ability and willingness to work beyond regularly scheduled shifts, select weekends, or overtime as necessary to meet operational needs • Ability and willingness to travel as needed to CDW locations or client sites • Valid U.S. driver’s license • Experience leading enterprise generative AI, agentic AI, fine-tuning, distributed inference, or advanced MLOps implementations, is a plus • Experience with vector databases, AI gateways, observability, evaluation frameworks, guardrails, and model lifecycle platforms, is a plus • Experience integrating AI solutions with enterprise applications, identity platforms, data estates, and security controls, is a plus • Preferred NVIDIA certifications aligned to the role include NVIDIA-Certified Professional Generative AI LLMs (NCP-GENL) and NVIDIA-Certified Professional Agentic AI (NCP-AAI), is a plus

🏖️ Benefits

• Annual bonus target of %10 subject to terms and conditions of plan • Benefits overview provided at https://cdw.benefit-info.com/

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