Solutions Architect, AI/ML

Fidus Systems

. Understand technical project requirements for existing and potential clients .

Posted 10/28/2026full-timeRemote • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML engineering with a strong focus on deploying models into production, system-level design, and architectural tradeoffs. Proficient in modern machine learning toolchains and capable of collaborating across various technical teams to deliver tailored solutions.

Highest-signal resume keywords

AI/ML Engineering ExperienceExpert Knowledge of PyTorch or TensorFlowSystem-Level Design ExperienceExperience Deploying Inference on FPGAConcise Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML EngineeringSystem-Level DesignModel DeploymentCUDA ProgrammingROCm ProgrammingQuantizationPruningCompilation for DeploymentData Pipeline AssessmentMLOps Exposure

Soft Skills

Concise CommunicationListening SkillsUnderstanding SkillsPersonable InteractionPresentation Skills

Tools & Technologies

PyTorchTensorFlowONNXFPGAGPUAdaptive SoCHigh-Speed InterconnectMemory HierarchyThermal ManagementPower Budgeting

Certifications & Qualifications

Bachelor’s Degree in Electrical EngineeringBachelor’s Degree in Computer EngineeringBachelor’s Degree in Computer ScienceExport License Eligibility

Industry Keywords

AI Workload HardwareEmbedded SoftwareITAR ComplianceClassified Information RestrictionsCGP Compliance

Tech Stack

Tools & technologies

PyTorchTensorflow

About the role

Key responsibilities & impact

Understand technical project requirements for existing and potential clients
Assess whether client opportunities are a good fit
Develop solution paths after assessing opportunity fit
Prepare estimates for required work
Identify project risks and mitigation strategies
Work directly with clients to understand and develop requirements
Architect solutions that meet client needs
Create delivery plans and estimate work required
Write technical content for proposals
Present Fidus’ resource capabilities and work approach
Discuss, promote, defend, and refine work approaches and estimates
Evaluate and partition solutions and programs into logical segments
Undertake project work as required
Help identify and develop new Fidus products
Help identify new areas of investment and research and development
Collaborate with FPGA/DSP, hardware, embedded software, verification, SI/PI, PCB layout, and mechanical/thermal design teams

Requirements

What you’ll need

Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or equivalent
At least seven (7) years of design background in an AI/ML engineering role is ideally preferred, with significant experience deploying models into production
System-level design experience, including identifying architectural approaches and tradeoffs
Expert knowledge of the modern machine learning toolchain, including PyTorch or TensorFlow, ONNX, quantization, pruning, and compilation for deployment
Experience deploying inference on embedded and accelerated targets such as FPGA and adaptive SoC, GPU, or dedicated AI accelerators
Ability to reason about latency, throughput, power, and memory bandwidth tradeoffs
Experience designing with CUDA and/or ROCm
Familiarity with AI workload hardware and infrastructure, including high-speed interconnect, memory hierarchy, and thermal and power budgets
Ability to assess AI objective feasibility against available data and scope data pipeline, training, and validation efforts
Some knowledge of FPGAs, hardware, and embedded software
Exposure to MLOps, including model versioning, monitoring, and production retraining, is an asset
Ability to undertake designs subject to ITAR or classified-information restrictions in the United States, or CGP or classified-information restrictions in Canada
Concise communication and writing skills
Excellent listening, understanding, and extrapolation skills
Professional and personable
Enjoys travel up to 6 weeks per year, typically within North America
Proven experience presenting to small-to-medium-sized groups
Position is based in the United States
Must be a U.S. person as defined under 22 CFR 120.62 or eligible for an export license
Must complete background checks

Benefits

Comp & perks

Comprehensive medical, dental, and vision plans
Matching 401(k) plan contributions
Annual profit-sharing bonus
Other supplementary benefits
Travel opportunities, anticipated to be up to 6 weeks per year, typically within North America
Accommodations available upon request during the selection process