AI Enablement Operations Engineer

AI Consulting Engineer This role will establish and scale AI capabilities across a portfolio of companies, helping teams leverage emerging technologies to drive value creation across product development, engineering, sales, and customer operations. Projects may include building AI-enabled products and features, developing agentic workflows to improve engineering productivity, implementing AI-powered sales enablement tools, and creating solutions that streamline customer onboarding and support. The Forward-Deployed Engineer will work closely with C-level executives and their teams to identify opportunities, develop and implement solutions, and build lasting internal AI capabilities that enable each organization to independently design, launch, and scale AI-enabled products and workflows. Responsibilities Partner with executive, technical, and functional leaders to identify and prioritize high-impact opportunities to leverage AI across the organization. Design, build, and deploy AI-enabled products, agents, and workflows that improve business processes across areas such as product development, sales, finance, customer support, and operations. Translate complex or loosely defined business challenges into practical technical solutions, taking initiatives from initial concept and rapid prototype through production deployment. Integrate AI solutions with existing enterprise systems, including CRM and ERP platforms, data warehouses, APIs, and legacy data environments. Evaluate AI readiness, technical architecture, data requirements, and implementation considerations to determine the most effective approach for each initiative. Drive adoption of AI solutions through training, documentation, change management, and close partnership with business and technology teams. Develop reusable frameworks, playbooks, tools, and best practices that accelerate future AI initiatives and create consistency across the organization. Advise senior leadership on AI strategy, implementation opportunities, technical tradeoffs, risks, and emerging capabilities. Coach engineers and business leaders, helping internal teams develop the skills and processes necessary to independently build, deploy, and scale AI solutions. Stay current on emerging AI technologies and identify practical opportunities to apply new capabilities to meaningful business problems. Qualifications 5+ years of software engineering, technical architecture, AI engineering, or related experience, with a demonstrated ability to build and launch production solutions. Hands-on experience with modern AI technologies, including large language model APIs, AI agents, RAG architectures, automation platforms, and related development frameworks. Proven experience taking new products or technical solutions from concept through development and production, including 0-to-1 initiatives. Strong systems integration experience with enterprise applications, APIs, data platforms, and complex or fragmented data environments. Exceptional problem-solving skills with the ability to quickly understand unfamiliar technologies, business processes, and data environments. Ability to balance speed and scalability, rapidly developing solutions while applying appropriate technical rigor for production environments. Strong business acumen and executive presence with the ability to advise senior leaders, challenge assumptions, and translate technical concepts into business terms. Demonstrated ability to operate independently, manage multiple initiatives, and deliver results in highly ambiguous and fast-moving environments. Strong communication and relationship-building skills with the ability to influence technical and non-technical stakeholders without formal authority. Coaching-oriented leadership style with the ability to develop internal capabilities while remaining hands-on when needed to accelerate execution. Show more Show less