Computer Vision Solutions Consultant (NVIDIA Focus)

About the Role

The Computer Vision/AI Consultant will serve as a strategic advisor and technical leader focused on designing, validating, and delivering enterprise-scale Computer Vision and AI solutions. This role combines deep technical expertise with customer-facing leadership responsibilities, driving AI adoption initiatives while contributing to the NVIDIA alliance go-to-market strategy. The position will work closely with clients, internal engineering teams, NVIDIA stakeholders, and business development leaders to create scalable AI architectures, reusable accelerators, and industry-focused solutions that deliver measurable business outcomes.

A high number of candidates may make applications for this position, so make sure to send your CV and application through as soon as possible.

Responsibilities

• Lead end-to-end Computer Vision and AI engagements from discovery and solution architecture through implementation and value realization
• Translate complex business challenges into scalable AI/CV solution roadmaps and enterprise architectures
• Act as a trusted advisor to executive stakeholders, driving AI adoption and demonstrating measurable business impact
• Manage project governance including scope, timelines, budget, risk management, and delivery quality across multiple initiatives
• Lead cross-functional collaboration between engineering, data science, product teams, and NVIDIA stakeholders
• Contribute to the NVIDIA alliance GTM strategy by shaping AI/CV offerings, accelerators, and industry solutions
• Support pre-sales activities including workshops, proposals, executive presentations, and solution positioning
• Develop reusable frameworks, proof-of-concepts, demos, and accelerators to improve scalability and reduce time-to-market
• Conduct market research and evaluate emerging technologies across the NVIDIA ecosystem including NeMo, Triton, TensorRT, Metropolis, and related AI platforms
• Drive thought leadership initiatives through whitepapers, demos, case studies, and industry events
• Establish best practices for model lifecycle management, deployment, and enterprise AI architecture standards

Requirements

• 6+ years of experience in Computer Vision, Machine Learning, Deep Learning, or AI solution delivery
• Strong expertise in multimodal AI, generative AI, transformers, diffusion models, and vision-language models
• Hands-on experience with Python and ML frameworks such as PyTorch, Pandas, NumPy, and cloud-based AI toolsets
• Experience across the full AI model lifecycle including experimentation, optimization, deployment, and inference
• Expertise with GPU-accelerated technologies such as DeepStream, TensorRT, Triton Inference Server, ONNX, TAO Toolkit, or similar platforms
• Familiarity with NVIDIA AI technologies including NeMo, Riva, TensorRT, Triton, Metropolis, or related ecosystem tools strongly preferred
• Strong understanding of classical Computer Vision techniques including camera calibration, feature matching, homography estimation, and image/video analytics
• Experience deploying AI solutions within AWS, Azure, GCP, Kubernetes, OpenShift, or hybrid enterprise environments
• Strong advisory and stakeholder management capabilities with experience presenting to leadership teams and supporting GTM initiatives
• Excellent communication, collaboration, analytical, and problem-solving skills
• Understanding of enterprise software architecture, cloud computing, Big Data, SDLC, and AI adoption challenges
• Bachelor's degree in Computer Science, Applied Mathematics, Physics, or related technical field preferred

The anticipated salary range for this role is 200,000 - 220,000 USD annually, in line with our internal compensation framework and budget allocation for the role. Most candidates are offered a salary within this disclosed range. If the role is eligible for a variable pay plan, this would be considered separately and may provide additional earnings beyond the base salary range reflected here.

Please note, the information provided in this posting is a general summary and may not include all compensation elements or benefits associated with the position.

SoftServe is an Equal Opportunity Employer. xhyhwjd All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law. Let's put your talents and experience in motion with SoftServe.