Execution over experimentation
Hiring teams want builders who can move from prototype to production, not only tool familiarity.
Seyon is actively sourcing these roles across finance, health care, manufacturing, and cross-industry AI delivery. Review the openings, open the full role description, and apply directly from this page.
Hiring teams want builders who can move from prototype to production, not only tool familiarity.
Roles consistently combine business alignment, technical judgment, and delivery accountability.
Microsoft, AWS, Databricks, Snowflake, industrial data stacks, and agentic workflow patterns show up repeatedly.
Each listing includes employment details, a role summary, and a full job description page.
Support enterprise finance modernization by translating workflow pain points into AI-enabled reporting, automation, and decision-support requirements.
A finance-facing AI product role for teams modernizing close, planning, reporting, and decision support. Hiring managers are prioritizing candidates who can convert business pain points into execution-ready automation and analytics backlogs.
Initial recruiter response target: 3 business days
Build agentic workflows, retrieval patterns, and enterprise integrations for health care operations and engagement use cases.
A production AI engineering role focused on agentic workflows, retrieval, evaluation, and enterprise integration. The hiring pattern mirrors LinkedIn demand for engineers who can move beyond prototypes into governed, operational systems.
Technical-screen decisions targeted within 5 business days
Lead client-facing AI initiatives by aligning business stakeholders, delivery teams, and operating priorities in complex health care environments.
A client-facing healthcare AI leadership search focused on roadmap definition, executive alignment, and program mobilization. The role reflects strong LinkedIn demand for leaders who can connect business sponsors with accountable delivery execution.
Executive review targeted within 7 business days
Shape plant and operations AI opportunities, connect data sources to workflow outcomes, and help move programs from discovery to deployment.
A manufacturing AI consulting search built around plant operations, workflow redesign, and practical execution. LinkedIn results in this segment consistently emphasize shop-floor context, supply-chain awareness, and measurable operational improvement.
Client shortlist targeted within 4 business days
Engineer data pipelines, quality signals, and AI-enabled operational capabilities across industrial and smart-factory programs.
A senior industrial data role focused on the production foundations behind manufacturing AI. The profile aligns with LinkedIn demand for engineers who can own source-system integration, operational data quality, and scalable delivery patterns.
Engineering feedback targeted within 5 business days
Lead adoption, operating model design, and delivery execution for enterprise AI programs that require technical credibility and executive communication.
A cross-industry AI leadership search for organizations moving from experimentation into enterprise execution. The mandate is operating-model design, adoption governance, and business-unit alignment at scale.
Leadership outreach targeted within 7 business days
Lead the engineering direction for enterprise AI platforms, operationalize agentic workflows, and partner across product, data, security, and architecture teams.
A LinkedIn-style AI leadership opening focused on platform engineering, scalable deployment, and turning emerging AI capabilities into practical enterprise outcomes.
Leadership screening targeted within 6 business days
Advise enterprise clients on AI and ML strategy, architecture, solution design, and delivery planning across complex transformation programs.
A principal-level AI consulting role modeled after LinkedIn demand for leaders who can connect solution design, stakeholder communication, and execution planning.
Consulting interviews targeted within 5 business days
Build training and platform services that support enterprise AI model development, lifecycle management, and scalable deployment.
A senior platform engineering role centered on AI training infrastructure, developer enablement, and production-grade model operations.
Engineering screen targeted within 4 business days
Design and deliver applied AI solutions that connect enterprise workflows, data services, cloud platforms, and business outcomes.
A hands-on AI solutions role built around solution design, stakeholder alignment, and production delivery rather than isolated experimentation.
Solution interview targeted within 4 business days
Lead enterprise platform engineering across data and AI services with a focus on architecture, governance, and operational scale.
A senior platform leadership role blending data engineering, AI enablement, and enterprise platform management.
Director review targeted within 6 business days
Develop agent-driven machine learning systems that combine orchestration, model usage, evaluation, and workflow automation.
A senior engineering role focused on the convergence of agentic AI, ML engineering, and production workflow execution.
Technical review targeted within 5 business days
Direct enterprise AI and machine learning engineering initiatives spanning architecture, governance, delivery, and stakeholder communication.
A senior AI and ML engineering leadership role for organizations scaling from program experimentation into operational adoption.
Leadership outreach targeted within 7 business days
Build enterprise AI capabilities across applications, workflows, model integration, and cloud-based deployment environments.
A broad AI engineering search based on current LinkedIn demand for builders who can move from prototypes into accountable delivery.
Recruiter screening targeted within 4 business days
Own principal-level engineering decisions for AI and ML programs spanning platform design, solution quality, and delivery acceleration.
A principal engineering opening shaped around AI program execution, architecture leadership, and technically credible stakeholder alignment.
Principal panel targeted within 6 business days
Support semiconductor and intelligent hardware programs through AI-aware verification engineering and structured validation workflows.
A specialized engineering opening based on LinkedIn demand for verification talent working near AI-enabled hardware and platform programs.
Verification review targeted within 5 business days
Lead product engineering work at the intersection of manufacturing operations, AI enablement, and network-connected production systems.
A manufacturing engineering management search modeled on LinkedIn roles combining product engineering, AI adoption, and industrial connectivity.
Hiring team review targeted within 5 business days
Support AI use cases across supply chain planning, manufacturing workflows, and operating decisions with a practical delivery mindset.
A specialized manufacturing AI role shaped around supply chain operations, plant execution, and measurable business improvement.
Client shortlist targeted within 4 business days
Define and deliver smart manufacturing solutions that combine AI, product ownership, and industrial workflow transformation.
A LinkedIn-derived smart manufacturing product role focused on AI adoption, product definition, and measurable factory performance impact.
Product team review targeted within 5 business days
Support manufacturing and AI programs by improving governance, data quality expectations, and business-to-platform coordination.
A business analyst search modeled on LinkedIn demand for data governance roles tied to manufacturing AI and enterprise modernization.
Analyst interview targeted within 4 business days
Drive candidate sourcing and hiring coordination for manufacturing and AI roles across plant, platform, and transformation teams.
A recruiting opening aligned to LinkedIn demand for talent specialists who understand AI hiring and industrial hiring patterns.
Recruiting review targeted within 3 business days
Define solution architectures for applied AI systems that span data, cloud, workflow, and integration requirements.
A senior architecture role shaped around AI solution design, platform interoperability, and enterprise delivery governance.
Architecture review targeted within 5 business days
Shape senior-level architecture decisions for AI solutions spanning data access, cloud services, integration, and operational deployment.
A senior architecture search focused on AI solution definition, technical quality, and implementation readiness across enterprise programs.
Architecture manager review targeted within 5 business days
Architect applied AI solutions for supply chain planning, logistics, inventory, and enterprise operations workflows.
A supply-chain-focused architecture role aligned to LinkedIn demand for applied AI specialists in operations-heavy environments.
Supply chain architecture review targeted within 5 business days
Lead cloud-first AI architecture across Azure-centered environments with strong emphasis on integration, governance, and operational scale.
A cloud AI architecture role built for organizations investing heavily in Azure and production-grade AI delivery patterns.
Cloud architecture interview targeted within 5 business days
Lead data engineering teams and platform strategy for organizations scaling AI, analytics, and modern data delivery capabilities.
A senior data engineering leadership search aligned to AI program growth, enterprise modernization, and platform reliability needs.
Data leadership outreach targeted within 6 business days
Lead data, analytics, and insight-generation capabilities for organizations linking AI ambition to measurable business decision-making.
A VP-level data and insights opening designed for leaders driving enterprise analytics, AI adoption, and operating-model maturity.
Executive outreach targeted within 7 business days
Lead finance analytics and AI enablement efforts that improve reporting, planning, and decision support across enterprise finance teams.
A finance-focused AI leadership opening shaped around analytics enablement, business process improvement, and measurable operating impact.
Finance leadership review targeted within 5 business days
Drive finance AI and data strategy programs that link modernization roadmaps to execution plans and measurable value outcomes.
A senior management search focused on finance AI strategy, roadmap clarity, and the operating discipline needed for enterprise adoption.
Strategy interview targeted within 5 business days
Support AI transformation finance initiatives by connecting business cases, investment planning, and operating change to delivery execution.
A finance management role based on LinkedIn demand for leaders who can support AI transformation with disciplined financial planning and program clarity.
Finance manager review targeted within 4 business days
Build applied AI solutions for finance workflows, reporting systems, and decision-support capabilities inside modern enterprise environments.
A senior engineering opening focused on applied AI in finance settings where reporting, workflow automation, and decision support matter.
Technical finance AI review targeted within 5 business days
Engineer AI capabilities that connect finance systems, workflow automation, and enterprise reporting or planning processes.
A senior finance systems engineering role for organizations embedding AI into critical finance platforms and operational workflows.
Finance systems review targeted within 5 business days
Shape finance strategy initiatives that require AI solution planning, stakeholder alignment, and measurable transformation outcomes.
A management role combining finance strategy and AI solution planning, aligned to current LinkedIn demand for transformation-focused talent.
Manager review targeted within 4 business days
Build AI-driven automation across finance and accounting workflows with an emphasis on control, efficiency, and repeatability.
A finance automation engineering opening tied to enterprise demand for AI-enabled productivity and workflow modernization.
Automation interview targeted within 4 business days
Shape healthcare AI strategy by linking provider and clinical needs to practical solution roadmaps and transformation priorities.
A healthcare AI strategy opening aligned to LinkedIn demand for leaders who can frame use cases, guide stakeholders, and define executable roadmaps.
Healthcare strategy review targeted within 5 business days
Engineer clinical AI platform capabilities that support healthcare workflows, context management, and operationally safe deployment.
A healthcare AI engineering role focused on platform capabilities for clinical and operational use cases in production environments.
Clinical platform screen targeted within 5 business days
Lead applied AI engineering for healthcare data systems that support clinical, operational, and decision-support use cases.
A healthcare data systems leadership role focused on applied AI, platform coordination, and delivery quality in complex environments.
Health data leadership review targeted within 6 business days
Design healthcare and MedTech solution architectures that connect product, data, compliance, and AI-enabled capabilities.
A healthcare technology architecture role focused on MedTech solution design, data integration, and implementation readiness.
MedTech architecture review targeted within 5 business days
Architect AI solutions for healthcare provider environments with a focus on workflow integration, platform design, and execution readiness.
A provider-focused AI architecture opening centered on scalable solution design for healthcare operations and delivery teams.
Provider architecture review targeted within 5 business days
Build applied AI capabilities for healthcare workflows, data services, and enterprise-grade operational use cases.
A healthcare AI engineering search focused on practical implementation, strong delivery habits, and workflow-aware system design.
Healthcare engineer screening targeted within 4 business days
Own product definition for agent-based AI capabilities with emphasis on user workflows, value delivery, and cross-functional execution.
A product management role aligned to LinkedIn demand for leaders who can define agentic AI products in operational environments.
Product interview targeted within 5 business days
Use the form for faster routing. Include your LinkedIn profile, portfolio, availability, resume, and a concise summary of your AI, data, cloud, or industry delivery work.