TL;DR
Technical Deployment Lead (Applied AI): Leading the delivery of custom AI agent solutions for enterprise customers in highly regulated industries with an accent on owning high-value engagements, building technical playbooks, and defining scalable processes. Focus on managing product scoping, stakeholder relationships, value measurement, and navigating organizational complexity for AI agent deployments.
Location: Hybrid in London, UK (25% in office)
Salary: £150,000–£170,000 GBP annually
Company
hirify.global’s mission is to create reliable, interpretable, and steerable AI systems, aiming for safe and beneficial AI for users and society.
What you will do
- Own the technical delivery plan, structuring SOWs with clear scope, milestones, and success criteria.
- Lead technical discovery, mapping customer workflows and shaping solution architectures for AI agent deployments.
- Run day-to-day engineering execution and delivery across hirify.global and customer teams, managing scope and priority.
- Own product scoping for field engagements, defining MVP, authoring requirements, and prioritizing the engineering backlog.
- Manage the customer relationship throughout delivery, including executive briefings and stakeholder communications.
- Define impact hypotheses, set KPIs, and measure ROI for deployments, reporting outcomes to executive sponsors.
Requirements
- 5+ years of customer-facing technical delivery leadership experience.
- Experience delivering AI, ML, or LLM-based agentic solutions into production.
- Ability to lead architecture discussions, evaluate technical trade-offs, and own technical direction.
- Proven track record delivering complex, high-stakes technical projects for enterprise clients in regulated industries.
- Executive presence and comfort representing the company to senior leaders.
- Ability to travel to customer sites (25–50% expected).
Nice to have
- Experience in financial services, healthcare/life sciences, or pharmaceutical verticals.
- Background at a Forward Deployed Engineering company or Big 3 / Big 4 consulting firms.
- Exceptional understanding of LLM capabilities and limitations.
- Familiarity with AI agent frameworks and orchestration architectures.
Culture & Benefits
- Work on a single cohesive team on large-scale research efforts with a focus on impact.
- Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave.
- Flexible working hours and a collaborative office space.
- Emphasis on empirical science and communication skills in AI research.
- Visa sponsorship is provided, with efforts made to support successful candidates.
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