Chief AI Officer

Fidus Systems

Chief AI Officer leading AI transformation for Fidus, a high-tech design firm. Overseeing AI strategy, adoption, and client integration while managing the AI organization.

Posted 7/28/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in AI strategy development, data architecture, and productization of AI-enabled services. Proven ability to lead AI transformation initiatives in a services environment while ensuring compliance and driving measurable business outcomes.

Highest-signal resume keywords

AI Transformation LeadershipData Architecture ExpertiseProduct Development ExperienceExecutive Communication SkillsExecution Track Record

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI Strategy DevelopmentData GovernanceML Pipeline DevelopmentAI ProductizationChange ManagementKPI Definition and OwnershipAI Tooling IntegrationAI Model DevelopmentAI Adoption MeasurementSafety-Critical Engineering Standards

Soft Skills

CollaborationLeadershipCommunicationChange ManagementStrategic Thinking

Tools & Technologies

MLOps PlatformsData ToolingAI-Enabled Service OfferingsAI-Integrated WorkflowsData Platforms

Industry Keywords

Services Industry ExperienceAI AdoptionITAR ComplianceExport ControlEngineering ServicesEDASemiconductorSafety-Critical EnvironmentsHigh-Growth CompaniesStrategic Transformation

About the role

Key responsibilities & impact

Own and drive the company-wide AI strategy, roadmap, and governance framework
Define the multi-year vision for AI adoption across service delivery, business development, and operations
Lead prioritization of AI initiatives against revenue, margin, and competitive differentiation outcomes
Report to the CEO on AI transformation progress; own the AI KPI scorecard
Collaborate with CTO and Delivery Leaders to identify and build net-new AI-enabled service offerings that expand Fidus's addressable market — e.g., AI-assisted SI/PI analysis, automated design review, embedded AI in customer product development
Lead productization of Fidus's engineering expertise into scalable, repeatable AI-augmented deliverables
Partner with discipline leads (FPGA, SI/PI, Layout, Software, Hardware, ASIC) to embed AI tooling into delivery workflows
Establish IP strategy around proprietary AI methods and tooling developed internally
Drive measurable adoption of AI tools across all teams — engineering, operations, and business development
Design and execute a structured change management program: enablement, training, and accountability
Define and own adoption KPIs: cycle time reduction, AI-assisted delivery percentage, proposal and BD efficiency
Champion a culture of experimentation while maintaining rigorous quality standards in safety-critical engineering environments
Partner with IT to define and evolve Fidus's data architecture, governance, and quality standards as the foundation for AI capability
Collaborate with IT to build and maintain the data platform required to support AI model development, training, and deployment
Partner with IT and Legal to ensure data practices meet compliance requirements including ITAR, export control, and client NDA obligations
Work closely with IT and engineering leadership to instrument delivery processes for systematic data capture and to maintain data quality at the source
Serve as Fidus's external AI authority — engaging clients, strategic partners, and industry forums
Advise clients on AI integration into their hardware, firmware, and systems product development programs
Support channel and business development by articulating Fidus's AI differentiation to silicon vendors, EDA partners, and the broader partner ecosystem
Hire, develop, and manage the AI function — engineers, data scientists, and ML operations
Define the organizational model: centralized Center of Excellence or embedded discipline-level AI leads
Manage AI vendor and tool relationships — model providers, MLOps platforms, and data tooling — in coordination with IT procurement and security standards

Requirements

What you’ll need

Services industry experience: Proven track record of driving AI adoption and transformation inside a services or professional services organization — not a product company. You understand the utilization model, the people dynamics of a billable delivery environment, and how to drive change without disrupting client commitments.
AI transformation leadership: 10+ years in technology leadership; 3+ years in a senior AI/ML leadership role with demonstrated organizational impact. You have taken AI from concept to deployed, production-grade capability in an organization that did not start AI-native.
Deep data background: Hands-on expertise in data architecture, data governance, and ML pipeline development. Skilled at working across functional boundaries — able to engage credibly with both engineers and IT leadership, not just manage upward.
Product development experience: Demonstrated experience building AI-enabled products or productized service offerings, from ideation through commercialization.
Execution track record: History of executing on strategic roadmaps under ambiguity with measurable business outcomes — revenue, margin, efficiency. You ship.
Executive communication: Able to translate AI strategy into board-level narrative and into day-to-day engineering direction. Equally fluent in both registers.
Strong Preference
Background in engineering services, EDA, semiconductor, or adjacent deep-tech industries
Familiarity with safety-critical or regulated engineering environments: A&D, medical, automotive
Experience in ITAR or export-controlled data environments
Prior experience in a company undergoing strategic transformation — high-growth, PE-backed, or M&A integration
Hands-on experience with LLMs, agentic AI frameworks, or AI applied to CAD/EDA and hardware design workflows.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Fidus Systems Website LinkedIn All Job Openings 51 - 200 employees Founded 2001 💼 Consulting 🏥 Healthcare 🏭 Manufacturing Consulting
Healthcare
Manufacturing Fidus Systems is a company that provides comprehensive electronic and hardware design services to electronics manufacturers. They specialize in FPGA design, ASIC design, verification, and validation, with capabilities in embedded software, hardware, PCB layout, signal and power integrity, and mechanical and thermal design. Fidus Systems is skilled in working with leading technologies like AMD and Intel, transforming concepts into high-reliability products for high-demand industries such as aerospace, telecommunications, medical devices, and consumer electronics. The company is known for helping clients accelerate complex designs through its expert capabilities and flexible engagement models. Chief AI Officer Job not on LinkedIn 🔥 21 minutes ago 🇺🇸 United States – Remote ⏰ Full Time 🔴 Lead 🤖 Artificial Intelligence Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Own and drive the company-wide AI strategy, roadmap, and governance framework
Define the multi-year vision for AI adoption across service delivery, business development, and operations
Lead prioritization of AI initiatives against revenue, margin, and competitive differentiation outcomes
Report to the CEO on AI transformation progress; own the AI KPI scorecard
Collaborate with CTO and Delivery Leaders to identify and build net-new AI-enabled service offerings that expand Fidus's addressable market — e.g., AI-assisted SI/PI analysis, automated design review, embedded AI in customer product development
Lead productization of Fidus's engineering expertise into scalable, repeatable AI-augmented deliverables
Partner with discipline leads (FPGA, SI/PI, Layout, Software, Hardware, ASIC) to embed AI tooling into delivery workflows
Establish IP strategy around proprietary AI methods and tooling developed internally
Drive measurable adoption of AI tools across all teams — engineering, operations, and business development
Design and execute a structured change management program: enablement, training, and accountability
Define and own adoption KPIs: cycle time reduction, AI-assisted delivery percentage, proposal and BD efficiency
Champion a culture of experimentation while maintaining rigorous quality standards in safety-critical engineering environments
Partner with IT to define and evolve Fidus's data architecture, governance, and quality standards as the foundation for AI capability
Collaborate with IT to build and maintain the data platform required to support AI model development, training, and deployment
Partner with IT and Legal to ensure data practices meet compliance requirements including ITAR, export control, and client NDA obligations
Work closely with IT and engineering leadership to instrument delivery processes for systematic data capture and to maintain data quality at the source
Serve as Fidus's external AI authority — engaging clients, strategic partners, and industry forums
Advise clients on AI integration into their hardware, firmware, and systems product development programs
Support channel and business development by articulating Fidus's AI differentiation to silicon vendors, EDA partners, and the broader partner ecosystem
Hire, develop, and manage the AI function — engineers, data scientists, and ML operations
Define the organizational model: centralized Center of Excellence or embedded discipline-level AI leads
Manage AI vendor and tool relationships — model providers, MLOps platforms, and data tooling — in coordination with IT procurement and security standards 🎯 Requirements
Services industry experience: Proven track record of driving AI adoption and transformation inside a services or professional services organization — not a product company. You understand the utilization model, the people dynamics of a billable delivery environment, and how to drive change without disrupting client commitments.
AI transformation leadership: 10+ years in technology leadership; 3+ years in a senior AI/ML leadership role with demonstrated organizational impact. You have taken AI from concept to deployed, production-grade capability in an organization that did not start AI-native.
Deep data background: Hands-on expertise in data architecture, data governance, and ML pipeline development. Skilled at working across functional boundaries — able to engage credibly with both engineers and IT leadership, not just manage upward.
Product development experience: Demonstrated experience building AI-enabled products or productized service offerings, from ideation through commercialization.
Execution track record: History of executing on strategic roadmaps under ambiguity with measurable business outcomes — revenue, margin, efficiency. You ship.
Executive communication: Able to translate AI strategy into board-level narrative and into day-to-day engineering direction. Equally fluent in both registers.
Strong Preference
Background in engineering services, EDA, semiconductor, or adjacent deep-tech industries
Familiarity with safety-critical or regulated engineering environments: A&D, medical, automotive
Experience in ITAR or export-controlled data environments
Prior experience in a company undergoing strategic transformation — high-growth, PE-backed, or M&A integration
Hands-on experience with LLMs, agentic AI frameworks, or AI applied to CAD/EDA and hardware design workflows. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs AI Transformation Partner 🔥 15 hours ago Pragmatico 2 - 10 💼 Consulting 🤖 Artificial Intelligence 🤝 B2B Website LinkedIn All Job Openings AI Transformation Partner at Pragmatico managing client relationships and driving outcomes. Lead AI strategies with senior executives in mid-market companies for transformation success. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 Artificial Intelligence Forward Deployed AI Strategist 🔥 17 hours ago Climb 2 - 10 💼 Consulting 🏢 Enterprise ☁️ SaaS Website LinkedIn All Job Openings Forward Deployed AI Strategist at Climb, leading AI transformation strategies for enterprises. Working closely with C-suite leaders to align technology and business outcomes at executive levels. 🇺🇸 United States – Remote ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 Artificial Intelligence AI Solutions Specialist 🔥 18 hours ago Snowflake 5001 - 10000 ☁️ SaaS 🏢 Enterprise 🤝 B2B Website LinkedIn All Job Openings AI Solutions Specialist at Snowflake collaborating on custom AI solutions sales. Driving customer adoption of AI and Machine Learning capabilities with strategic partnerships. 🇺🇸 United States – Remote 💵 $180k - $236.3k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 Artificial Intelligence Director, AI Transformation 🔥 18 hours ago Qualified Health 51 - 200 🏥 Healthcare 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings Director managing healthcare AI transformation initiatives for Qualified Health, ensuring client engagement and successful project delivery. Collaborating with engineering and internal teams to enhance client satisfaction. 🇺🇸 United States – Remote 💵 $175k - $195k / year 💰 $30M Seed on 2025-02 ⏰ Full Time 🔴 Lead 🤖 Artificial Intelligence Consulting AI Director 🕒 Yesterday Baker Tilly US 5001 - 10000 🏗️ Construction 🏥 Healthcare 📦 Logistics Website LinkedIn All Job Openings Senior consulting leader with deep applied AI expertise at Baker Tilly. Defining and leading AI activation across the national consulting business. 🇺🇸 United States – Remote 💵 $214.1k - $405.9k / year ⏰ Full Time 🔴 Lead 🤖 Artificial Intelligence 🦅 H1B Visa Sponsor View More Artificial Intelligence Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs