Artificial Intelligence

• Conduct training sessions for SNHU community members to ensure use of AI tools and technologies
• Provide support in the form of hands-on guidance and consultation
• Help optimize existing AI-driven processes to improve operational and educational efficiency
• Collaborate with cross-functional teams to support AI Proofs of Concept, projects, and product exploration
• Assist in brainstorming and planning for faculty and staff ideas related to AI integration
• Develop training materials, guides, and resources to support AI tool adoption across the institution
• Attendance, punctuality, and reliability are essential functions of this role
• Other responsibilities as assigned

AI Integration Specialist

• Serve as EnerSys’ executive leader and single point of accountability for enterprise AI strategy, execution, and outcomes.
• Translate enterprise and business strategies into a clear, multi‑year AI vision and roadmap.
• Advise the CIO, ELT, and Board on AI trends, risks, opportunities, and competitive implications.
• Represent EnerSys externally with strategic AI partners, technology providers, and industry forums.
• Design and implement the enterprise AI operating model, including governance forums and funding processes.
• Establish enterprise standards for responsible AI, data usage, security, privacy, and risk management.
• Own AI investment governance, ensuring alignment with capital planning and transformation funding.
• Own the global AI use case portfolio and prioritization framework.
• Define, track, and report enterprise AI value metrics.
• Orchestrate cross-functional delivery across IT, data, and business units.
• Partner with HR to lead enterprise-wide change management and AI literacy initiatives.
• Build, lead, and develop a high performing enterprise AI organization with clear roles.

VP, Enterprise AI Enablement

• Work remotely with individuals and families to help identify life insurance and annuity solutions that fit their needs.
• Educate clients on financial protection options in a clear, ethical, and professional way.
• Build and manage your own pipeline through referrals, marketing, networking, and follow-up.
• Attend virtual training, mentorship, and team development sessions.
• Grow a personal book of business while building long-term client relationships.

Sales AI

• You are the accountable technical lead for embedded AI/ML from architecture and model development through deployment and operational validation
• Define and execute the technical roadmap
• Identify, architect and fine tune embedded ML models optimized for the compute environment, balancing inference performance against strict SWaP-C (size, weight, power, and cost) constraints
• Own the full ML lifecycle including data collection and pipeline development, model architecture, training, compression and quantization, hardware-aware optimization, and on-target validation
• Integrate AI/ML models directly into the flight software stack, ensuring real-time performance, deterministic behavior, and compliance with safety and reliability requirements
• Drive cross-functional technical alignment with FSW, avionics, ground systems, GN&C, and systems engineering, translating autonomous operations requirements into deployable, validated AI capabilities
• Champion V&V and assurance practices for AI/ML in mission-critical, high-consequence space systems including uncertainty quantification, fault detection and isolation, runtime assurance, and adversarial robustness testing
• Serve as the technical authority and force multiplier across the broader AI, FSW & Autonomy team, setting the bar, unblocking peers, and accelerating delivery through influence and expertise
• Represent Blue National Security's AI/ML capability to government customers, program offices, and external partners

Principal AI/ML Autonomy Engineer

• 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

• Supports the deployment, orchestration, standardization, and continuous improvement of enterprise Agentic AI workflows and AI-enabled business processes
• Coordinates multi-agent workflows across enterprise systems, business functions, and AI platforms to improve operational efficiency, user experience, and process automation
• Promotes the effective use of repeatable AI processes, orchestration methodologies, governance standards, and enterprise best practices
• Collaborates with business stakeholders, technical teams, and platform teams to identify automation opportunities, improve workflows, and enable scalable AI solutions across the enterprise
• Participates in the evaluation, deployment, and operational support of Agentic AI capabilities, including workflow orchestration, AI task coordination, process monitoring, and AI governance adherence
• Coordinates and supports multi-agent AI workflows across enterprise tasks, systems, and business processes
• Assists in defining and deploying repeatable orchestration standards, methods, and best practices for Agentic AI solutions
• Collaborates with business process owners to identify automation and workflow optimization opportunities
• Supports implementation and configuration of AI-driven workflows using enterprise AI and automation platforms
• Monitors workflow performance, operational metrics, and orchestration effectiveness to identify improvement opportunities
• Participates in evaluating emerging AI orchestration technologies and enterprise automation capabilities
• Assists in documenting workflow logic, orchestration patterns, governance controls, and operational procedures
• Promotes adoption of enterprise AI standards, common processes, and reusable workflow patterns
• Coordinates with technical teams, product managers, and platform teams to support deployment and scaling of Agentic AI capabilities
• Supports integration activities across enterprise systems, knowledge sources, APIs, and workflow platforms
• Participates in operational reviews, lessons learned, and continuous improvement activities related to AI-enabled processes
• Helps establish governance and compliance alignment for AI workflow execution and enterprise usage standards
• Provides education, guidance, and operational support to users adopting AI-enabled workflows and orchestration capabilities

Artificial Intelligence jobs in Alabama

See all jobs on JobTailor

AI Integration Specialist

VP, Enterprise AI Enablement

Sales AI

Principal AI/ML Autonomy Engineer

Principal AI/ML Autonomy Engineer

Senior Artificial Intelligence Engineer

Mid-Level AI Workflow Orchestration Specialist