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.