Sr. AI Enablement Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. AI Enablement Engineer based in the United States.

This role focuses on transforming emerging AI capabilities into practical, scalable solutions that improve how teams work across the organization. You will design, build, and operate AI-powered workflows, integrations, and tools that enable employees to work more efficiently and make better decisions. Working closely with teams across business operations, engineering, security, privacy, and legal, you will serve as a technical partner who bridges AI innovation with real business needs. The ideal candidate combines strong engineering expertise, enterprise integration experience, and a passion for applying AI responsibly. This position offers the opportunity to shape internal AI adoption strategies while building production-ready systems that create measurable impact. You will play a key role in defining how organizations leverage AI to improve productivity, automation, and collaboration.

Accountabilities:

• Design, build, and operate AI-powered workflows that improve productivity across business functions, including Finance, People Operations, Legal, Workplace, and other internal teams.
• Partner with stakeholders to identify high-impact workflows, translate business challenges into technical solutions, and deliver scalable AI-enabled processes.
• Own the development and governance of internal AI tools, including publishing processes, usage guidelines, review workflows, and adoption monitoring.
• Build, maintain, and scale integrations between enterprise systems using APIs, connectors, and agent-based tooling patterns.
• Develop and manage connector and Model Context Protocol (MCP) integration strategies across platforms such as HR systems, ERP solutions, contract management tools, ticketing systems, and knowledge bases.
• Evaluate emerging AI technologies, agent frameworks, and automation capabilities to determine adoption opportunities and strategic value.
• Create technical prototypes, reference architectures, and reusable solutions that enable teams to extend AI workflows independently.
• Establish AI security, privacy, and governance practices in partnership with Security, Privacy, and Legal teams.
• Develop structured processes for AI vendor assessments, including data flow reviews, privacy evaluations, and risk recommendations.
• Implement monitoring, observability, and operational practices to ensure AI tools remain reliable, secure, and scalable.
• Act as a trusted technical advisor for business teams by translating complex AI concepts into practical solutions and measurable outcomes.
• Support responsible AI adoption by balancing innovation, security, compliance, and business impact.

Requirements:

• 5+ years of software engineering, integration engineering, or related technical experience.
• 2+ years of experience building integrations between SaaS platforms, enterprise applications, or internal business systems.
• Strong experience with API integrations, OAuth, identity management, webhook architectures, and enterprise system connectivity.
• Practical experience developing and deploying LLM-based applications, AI workflows, agent systems, retrieval solutions, or model API integrations.
• Familiarity with Model Context Protocol (MCP) or comparable agent-to-tool integration frameworks.
• Strong understanding of DevOps practices, including CI/CD, infrastructure-as-code, secrets management, and observability.
• Experience applying data governance, security, and privacy best practices in technical environments.
• Ability to evaluate third-party technology vendors, assess risks, review data flows, and provide clear recommendations to business stakeholders.
• Strong communication and collaboration skills with the ability to work effectively with technical and non-technical teams.
• Ability to operate in a fast-paced, high-growth environment with evolving priorities and ambiguity.
• Experience with enterprise platforms such as NetSuite, Workday, Ironclad, Zendesk, Salesforce, or similar systems is preferred.
• Experience in Business Technology, IT, internal platforms, solutions engineering, or applied AI roles is a plus.

Benefits:

• Competitive annual base salary range of $133,500 – $200,300, depending on location, experience, and qualifications.
• Opportunity to work on cutting-edge AI initiatives with significant organizational impact.
• Remote-friendly work environment with collaboration across global teams.
• High-growth environment with opportunities for professional development and career advancement.
• Opportunity to build innovative AI solutions that transform internal workflows and productivity.
• Collaborative culture focused on ownership, autonomy, and meaningful technical challenges.
• Exposure to enterprise AI adoption, automation, integrations, and emerging technologies.
• Inclusive workplace committed to equal opportunity and supporting diverse perspectives.
• Reasonable accommodations available for qualified candidates with disabilities.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.