Senior Applied Value Engineer (AI)

Location: London, United Kingdom; flexible hybrid work model.

Company

hirify.global provides a Process Intelligence Platform powered by the hirify.global Context Model, combining process data, business knowledge, and intelligence to help organizations analyze, design, and operate AI-driven processes.

What you will do

• Lead discovery with strategic global accounts and translate complex operational challenges into tailored, domain-specific AI use cases.
• Architect, prototype, and deliver secure, scalable LLM and agent systems using advanced RAG, tools, guardrails, and enterprise integrations.
• Own high-stakes Proof-of-Value projects from technical discovery through implementation, adoption, and agreed value realization.
• Present business impact, ROI, and visionary AI solutions to C-suite executives and other internal and external stakeholders.
• Develop industry-specific end-to-end solutions, reusable methodologies, and globally scalable assets while mentoring junior peers.

Requirements

• 5+ years of executive-facing presales and value engineering experience, including technical ownership of complex sales, accountable Proof-of-Value execution, ROI/TCO modeling, and delivery through achieved value.
• Deep knowledge of operational workflows and industry domains such as supply chain or finance, with the ability to connect systemic bottlenecks to strategic AI solutions.
• Advanced expertise in LLM orchestration, tool use/function calling, RAG, agents, prompt engineering, and agentic patterns for enterprise workflows.
• Expert-level application of linear and nonlinear optimization, statistical analysis, reinforcement learning, and predictive forecasting.
• Experience designing production-grade ML/LLMOps deployment architectures and reliability standards across AWS Bedrock, Azure AI, and GCP Vertex AI.
• Python proficiency, modular API design, reusable libraries, advanced SQL, and scalable data integration using PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face.
• Experience architecting secure enterprise cloud environments with IAM, data governance, privacy laws, and security standards.
• Strong presentation skills for whiteboarding sessions, formal readouts, and demos; flawless English with exceptional executive presence.

Nice to have

• Master’s degree in computer science, engineering, mathematics, or a related field, or equivalent work experience.

Culture & Benefits

• Full-time employment with RSUs and merit-based refresh grants.
• Flexible hybrid work model, with office collaboration and remote focus.
• Paid parental leave, unlimited PTO where applicable, and generous PTO globally.
• Learning framework, mentorship programs, dedicated learning platform, Wellhub membership, mental health counseling, and Wellness Weeks.
• Paid Impact Days for community and environmental volunteering, plus inclusion and belonging initiatives.
• Mission-led work focused on customer value, AI-driven business operations, and sustainability.

Hiring process

• Resume and candidate profile information may be matched to the role using an artificial intelligence tool; final decisions are made by hiring managers and the talent acquisition team.
• Application data is processed according to hirify.global privacy and candidate notices.