Artificial Intelligence

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

🌐
Worldwide
❌ Jobs You've Hidden
⭐️ Saved Jobs
✅ Applied Jobs
✉️ Email Alerts
👤 Account
404 - Page Not Found
🌐
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
Privacy policy
Terms of service
Job board SEO course
AI Apply Copilot
OpenClaw job finder
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

Vice President, AI & Data Strategy

• support the adoption of approved AI tools across Finance, Sales, Supply Chain, Operations, Commercial, and enterprise analytics teams
• help business users apply AI to practical day-to-day work, including reporting automation, workflow improvement, prompt development, documentation, training support, and responsible AI usage
• assist business teams in learning and using approved AI tools such as Microsoft Copilot, Copilot Studio, Power BI, and other enterprise platforms
• help translate business needs into simple AI-driven use cases, prompts, and workflows
• create simple, practical examples that show employees how AI can reduce manual work, improve analysis speed, and improve documentation quality
• assist with intake of AI use case ideas across functions
• prepare simple summaries for review by senior team members

Associate AI Enablement Analyst

• Support the adoption of approved AI tools across Finance, Sales, Supply Chain, Operations, Commercial, and enterprise analytics teams
• Assist with AI office hours, training sessions, demonstrations, and small-group enablement workshops
• Help translate business problems into clear AI use cases, prompts, process maps, and repeatable workflows
• Create simple, practical examples that show employees how AI can reduce manual work, improve analysis speed, and improve documentation quality
• Build and maintain reusable prompt templates for common business activities such as variance explanations, meeting summaries, SOP creation, Power BI documentation, SQL support, Excel analysis, and reporting commentary
• Organize AI best practices, job aids, FAQs, and internal guides in Teams/SharePoint
• Support intake of AI use case ideas from Finance, Sales, Supply Chain, Operations, IT, Marketing, Legal, and other functions
• Document current-state workflows and identify opportunities where AI may reduce manual effort or improve consistency
• Help maintain an AI use case registry, prompt library inventory, and lightweight lifecycle documentation
• Track AI training attendance, office hour participation, prompt library usage, use case pipeline activity, and adoption feedback

AI Enablement Analyst

• Define and ship differentiated product capabilities for a prioritized set of customer and business use cases, with clearly documented success metrics (customer impact, adoption, revenue, efficiency, and risk reduction).
• Own the end-to-end product strategy and roadmap across platforms, applications, and AI-enabled capabilities, aligning firm-wide priorities and measurable outcomes.
• Establish scalable product operating models, including discovery, prioritization, roadmap governance, and delivery cadences across multiple product teams.
• Partner with Engineering and Architecture to ensure products are built on secure, resilient, and extensible platforms with clear technical and data foundations.
• Operationalize product lifecycle management including launch readiness, telemetry, adoption tracking, feedback loops, and continuous improvement.
• Hire, mentor, and lead a high-performing team of Product Managers across core platforms, workflows, and emerging AI capabilities.
• Partner with Knowledge Management, Data, and Engineering teams to translate domain workflows into product requirements, roadmaps, and prioritization frameworks.
• Work closely with Legal, Privacy, Security, and Compliance teams to ensure products meet confidentiality, regulatory, and risk management standards.
• Lead the full product lifecycle including problem framing, user research, requirements definition, delivery, launch, measurement, and iteration.
• Drive alignment across stakeholders including partners, business leaders, engineering leaders, and go-to-market teams.
• Establish and own product success metrics tied to customer outcomes, operational efficiency, and business performance.
• Lead change management and adoption efforts including training plans, playbooks, communications, and executive reporting.
• Publish and maintain product standards, decision frameworks, roadmap artifacts, and internal product guidance.

Director, Product AI – Platforms

• Hands-On AI Solution Engineering: Design, develop, and deploy AI-enabled solutions and prototypes integrated into mission-critical systems
• Embed AI into workflows such as:
• Developer productivity (code generation, testing, refactoring)
• Operations automation (AIOps, anomaly detection)
• Data-driven insights and decision support
• Build and integrate AI services within cloud-native (Azure) and hybrid architectures
• Develop reusable frameworks, accelerators, and reference implementations
• Architect scalable, secure AI/ML solutions leveraging Azure (App Services, AKS, Functions, Data Services)
• Guide modernization efforts for legacy and hybrid systems (ASP, VBScript, COBOL → cloud-native patterns)
• Act as an AI coach and mentor to multiple engineering teams
• Conduct training sessions, hands-on workshops, office hours, and advisory sessions
• Analyze application portfolio to identify AI insertion points, automation opportunities, technical debt reduction strategies

AI Technical SME – Architect

• Drive global TA process standardization, governance, and operational rigor across all regions, ensuring consistency in how recruiting is accomplished while respecting regional nuances.
• Lead the AI strategy and adoption roadmap for Talent Acquisition — identifying, assessing, implementing, and measuring AI-enabled tools and capabilities (e.g., AI sourcing, interview scheduling, skills-based screening) that reduce cost-to-hire and improve quality and speed.
• Own TA programs including the Internal Job Opportunity Program (IJOP) and Employee Referral Bonus Program, managing policy governance, global alignment, and continuous improvement.
• Own the TA enablement framework, including recruiter onboarding, capability development, quality assurance, and the tools and platforms that equip recruiters to perform at a high level across all markets.
• Define, refine, and maintain the TA operational KPI framework — establishing the metrics that matter, building self-service analytics capabilities (e.g., Visier), and translating data into actionable insights and strategic recommendations for TA leadership.
• Coordinate cross-regionally on compliance-related infrastructure, process improvements, and technology rollouts to ensure the TA function operates with accountability, efficiency, and readiness for hiring at scale.

Director, Global TA Operations, Enablement, AI

• Drive end-to-end delivery of production AI platforms
• Lead solution architecture, orchestrate model pipelines, and design multi-agent workflows
• Create reusable SDKs and frameworks
• Collaborate across product, engineering, security, and governance teams
• Ensure AI systems are scalable, observable, cost-efficient, and compliant
• Define design patterns and optimize operational pipelines
• Enable internal reuse of proven solutions
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production
• Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals

Senior Artificial Intelligence Engineer

• Drive end-to-end delivery of production AI platforms—leading solution architecture, orchestrating model pipelines, designing multi-agent workflows, and creating reusable SDKs and frameworks.
• Collaborate across product, engineering, security, and governance teams to ensure AI systems are scalable, observable, cost-efficient, and compliant.
• Define design patterns, optimize operational pipelines, and enable internal reuse of proven solutions.
• Own the full lifecycle from architecting secure, compliant solutions to deploying and scaling them in production.
• Work with Azure OpenAI, Azure AI Search, multi-agent orchestration, and API integrations for EHR, CRM, and member portals while solving complex problems, ensuring HIPAA compliance and Responsible AI practices.

• Lead one or more AI solution deployments concurrently, including Workday AI products and acquired solutions
• Own end-to-end delivery execution, ensuring on-time, on-budget, and high-quality implementations
• Partner with Consulting, Product, and Customer AI teams to triage and resolve issues related to model performance
• Present at Executive Steering Committees, providing transparency on AI risks
• Support pre-sales activities as requested
• Coach and mentor Workday and partner resources in AI deployment practices
• Contribute to the ongoing evolution of the Workday AI Delivery Framework
• Facilitate the transition from deployment to steady-state operations

Senior Engagement Manager, AI Solutions Delivery

• Develop and own the enterprise AI enablement strategy, including training programs, change management frameworks, and adoption roadmaps
• Design and deliver hands-on workshops, learning paths, and onboarding programs that upskill employees at all levels on AI tools and workflows
• Serve as the primary connector between technical AI teams and business units, translating capabilities into practical, day-to-day use cases
• Build and manage an internal AI community of practice to share learnings, best practices, and success stories
• Define and track adoption KPIs — measuring utilization, productivity impact, and ROI across AI initiatives
• Partner with HR, L&D, and Communications to embed AI fluency into the employee experience
• Develop governance guardrails and responsible AI usage guidelines for the broader workforce
• Stay current on emerging AI tools, trends, and vendors, and bring relevant insights back to the business

AI Adoption & Enablement Lead

• Define and scale a global AI sales motion that transforms how enterprise AI solutions are positioned, validated, and adopted across industries.
• Connect business value with technical innovation, ensuring organizations realize meaningful outcomes from AI-driven customer experience orchestration.
• Lead a globally distributed organization of AI Sales Specialists and regional leaders, operating in a coordinated “two-in-a-box” model with AI Architects.
• Drive business value articulation, technical validation, and successful customer outcomes.
• Shape how complex opportunities are developed and won.
• Help scale repeatable approaches that move customers from initial concept through prototype, pilot, and full production.
• Engage with diverse teams, customers, and partners worldwide, fostering an inclusive environment.

Vice President, Global AI Sales Specialists

• Own end-to-end proposal management on priority pursuits, from RFP receipt and kickoff through submission, including compliance matrices, outlines, writing assignments, schedule management, and production.
• Write and edit technical volumes, management volumes, and proposal response content for IT services contracts, ensuring clarity, measurability, and tight alignment to PWS/SOO/SOW requirements.
• Develop compelling executive summaries, discriminators, and win themes in close coordination with capture managers and leadership.
• Lead and facilitate all color reviews (Pink, Red, Gold) in alignment with Shipley methodology, delivering actionable feedback that measurably improves proposal quality.
• Manage proposal schedules and contributor accountability with urgency and precision across multiple simultaneous pursuits.
• Lead integration of AI proposal tools into Niyam's Shipley-based process.
• Develop AI-assisted workflow playbooks that accelerate first drafts, compliance checks, and reuse of past performance and boilerplate content, while preserving the discipline and quality standards of the Shipley methodology.
• Track and report AI-driven efficiency metrics (cycle time, cost per proposal, compliance error rate) to inform investment decisions and demonstrate ROI to leadership.
• Directly supervise and develop the proposal team — coordinators, writers, and graphic support staff — providing mentorship, coaching, and day-to-day guidance, and owning hiring, performance management, and team growth.
• Train team members on effective AI tool use, Shipley best practices, and proposal writing craft to raise the overall quality and throughput of the proposal function.

Director of Proposal Operations – AI Enablement

• Build, test, and deploy automation, monitoring, and analysis solutions for agent workflows
• Support deployment and scaling of automated agent-based solutions across development and production environments
• Investigate technical, operational, and reliability issues during development and implementation
• Build and integrate software tools that improve system reliability, observability, and scalability
• Support setup of development and production environments, including deployment-related activities
• Develop best practices and methodologies for provisioning, configuration management, monitoring, and troubleshooting
• Collaborate with delivery teams to define and track service level indicators, service level objectives, SLAs, and error budgets
• Create and recommend process improvements that increase stability, efficiency, and operational readiness
• Contribute to the ongoing improvement of operational processes for automated agent workflows

Senior Artificial Intelligence Operations Specialist

• Architect internal productivity revolution and analyze workflows.
• Rapidly prototype and refine agentic solutions.
• Help build and deploy production grade AI agents.
• Integrate AI agents with enterprise resources.
• Define and track productivity & ROI.
• Stay at the forefront of AI developments in the media industry.

Director, Applied AI – Strategy

• Build Microsoft Fabric pipelines and consolidated Lakehouse models.
• Develop certified views with reconciled metric definitions.
• Engineer Azure OpenAI prompts for narrative and insight generation.
• Build Python-based automation for reporting and compliance workflows.
• Support self-service analytics platforms with text-to-SQL and routing logic.
• Implement automated compliance and validation checks.
• Build signal detection and alerting pipelines.
• Track and analyze AI-driven program effectiveness.
• Maintain build logs and time tracking aligned to ASC 350-40.
• Create Copilot prompt playbooks and best practices.
• Monitor pipeline health and resolve data issues.
• Support Power BI automation and DAX libraries.

Senior Analyst, AI Transformation

• Manage our new AI team of approximately 5 engineers
• Lead a cross-functional team of AI/ML Engineers, Data Engineers, and Software Engineers
• Ensure AI/ML algorithms meet performance requirements
• Ensure data lake meets internal and external needs
• Drive excellence in agentic AI within the organization

Senior Manager – AI

• Develop and maintain AI governance frameworks ensuring compliance with ethical, legal, and organizational standards
• Conduct risk assessments to identify potential harms, biases, or compliance gaps in AI models and workflows
• Collaborate with engineering, legal, and mission teams to ensure AI solutions align with governance policies
• Prepare, maintain, and execute a System Engineering Plan (SEP) for managing all systems architecture and system engineering aspects
• Design, prepare, and document systems engineering and cybersecurity artifacts for the System
• Conduct systems engineering activities to specify, build, and maintain system engineering designs
• Support the Government in recommending and conducting enterprise system architecture activities
• Define, document, maintain, and promulgate APIs and technical standards for the System
• Design, engineer, integrate, and continuously improve the underlying infrastructure of the System
• Identify, prepare, track, secure, and integrate government, commercial, and open-source tools and services into the System
• Design, architect, engineer, and continuously improve the user interface (UI) and user experience (UX) components
• Build and maintain services and products to make production-ready AI/ML models accessible for customer use
• Design, architect, engineer, and continuously improve all aspects of cybersecurity elements of the System
• Perform site reliability engineering to build and maintain a reliable, scalable, and efficient System
• Participate in the Engineering Control Board (ECB) process for supporting all major engineering milestones and decisions

SME AI Governance Specialist

• Work with TechnoServe staff to spearhead a breakthrough AI initiative focused on Field Impact Innovation.
• Design AI systems that help dramatically scale our work with farmers and small business owners.
• Collaborate with TechnoServe’s Senior Executive Leadership, Global Operational Teams, and Technical Experts.

Pro Bono AI Strategy Expert

• Support functional, regression, and user-focused testing of applications and AI-enabled features before release
• Evaluate AI-generated outputs for quality, relevance, accuracy, consistency, and alignment to prompts, instructions, or reference materials
• Identify, document, and track software defects, content issues, edge cases, and output anomalies
• Perform scenario-based testing by interacting with systems as an end user to validate workflows and expected outcomes
• Flag issues in AI or application behavior and provide clear written feedback on what should be corrected or improved
• Assist with validation of prompts, workflows, procedures, and output-review criteria used in AI-supported processes
• Help review text, image, audio, video, or other generated outputs, as applicable to the program
• Maintain test evidence, validation notes, issue logs, and supporting documentation in accordance with project standards
• Collaborate with developers, analysts, engineers, and project leadership to clarify expected behavior and support issue resolution
• Participate in pilot testing of new features, experimental capabilities, and process improvements
• Support continuous quality improvement efforts by identifying recurring issues, trends, and opportunities for better testing coverage
• Contribute to the development of repeatable validation procedures, checklists, and quality review practices

See all jobs on JobTailor

AI Engagement Manager

Vice President, AI & Data Strategy

Associate AI Enablement Analyst

AI Enablement Analyst

Director, Product AI – Platforms

AI Technical SME – Architect

Director, Global TA Operations, Enablement, AI

Senior Artificial Intelligence Engineer

Senior Artificial Intelligence Engineer

Senior Engagement Manager, AI Solutions Delivery

AI Adoption & Enablement Lead

Vice President, Global AI Sales Specialists

Director of Proposal Operations – AI Enablement

Senior Artificial Intelligence Operations Specialist

Director, Applied AI – Strategy

Senior Analyst, AI Transformation

Senior Manager – AI

SME AI Governance Specialist

Pro Bono AI Strategy Expert

AI Quality & Validation Specialist