Senior AI Software Consulting Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the technical design and execution of intricate AI software projects, including generative AI, agentic AI, model-serving, and MLOps initiatives.

• Regularly engage with technical and business stakeholders, project sponsors, architects, and delivery leadership on complex projects.

• Collaborate with professional services managers, architects, project managers, sales teams, partners, and clients to manage expectations, risks, decisions, and timelines.

• Act as the technical point of contact for customer engagements, offering guidance on application architecture, integration, security, observability, evaluation, and operational readiness.

• Mentor engineers in software design, development, testing, troubleshooting, documentation, and customer delivery methodologies.

• Assist in sales efforts by contributing to discovery phases, solution validation, proposals, SOWs, ROMs, LOEs, and presentations.

• Develop and maintain precise project documentation, including as-built configurations, test plans, work logs, and client handoff materials.

⛳️ Requirements

• Bachelor’s degree with 5 years of experience in delivering complex software, data, or AI/ML solutions, encompassing planning, development, implementation, integration, and support, OR 9 years of relevant experience in similar roles.

• Proven capability to design and lead the implementation of production-grade AI applications and MLOps solutions.

• Advanced software development skills utilizing Python, APIs, containers, Kubernetes, Git, automated testing, and CI/CD methodologies.

• Familiarity with NVIDIA NIM, NVIDIA Blueprints, model-serving platforms, PyTorch, Hugging Face, or similar AI software ecosystems.

• Experience in designing retrieval-augmented generation, vector search, agentic workflows, enterprise integrations, and evaluation strategies.

• Working knowledge of model optimization, inference patterns, security, observability, data governance, and production operations.

• Understanding of GPU infrastructure, accelerated computing dependencies, and the impact of software architecture decisions on performance and scalability.

• Demonstrated ability to research advanced technologies, assess alternatives, make recommendations, and present findings to clients and management.

• Excellent written, presentation, and verbal communication skills, including experience in presenting technical recommendations from a business perspective.

• Proven history of managing competing priorities, leading through uncertainty, and escalating risks with clear alternatives and impacts.

• Willingness and ability to work beyond standard hours, select weekends, or overtime as required to meet operational demands.

• Ability and readiness to travel as necessary to CDW locations or client sites.

• Valid U.S. driver’s license.

• Experience in leading enterprise generative AI, agentic AI, fine-tuning, distributed inference, or advanced MLOps implementations is advantageous.

• Familiarity with vector databases, AI gateways, observability, evaluation frameworks, guardrails, and model lifecycle platforms is a plus.

• Experience in integrating AI solutions with enterprise applications, identity platforms, data estates, and security controls is beneficial.

• Preferred NVIDIA certifications relevant to the role include NVIDIA-Certified Professional Generative AI LLMs (NCP-GENL) and NVIDIA-Certified Professional Agentic AI (NCP-AAI) are a plus.

🏝️ Benefits

• Annual bonus target of 10% subject to the terms and conditions of the plan.

• Benefits overview provided at https://cdw.benefit-info.com/.