(Services) Technical Director

WHY FACULTY? We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. ABOUT THE TEAM Faculty’s Research team conducts critical red teaming and builds evaluations for misuse capabilities in sensitive areas, such as CBRN, cybersecurity and international security, for several leading frontier model developers and national safety institutes; notably, our work has been featured in OpenAI's system card for o1. Our commitment also extends to conducting fundamental technical research on mitigation strategies, with our findings published in peer-reviewed conferences and delivered to national security institutes. Complementing this, we design evaluations for model developers across broader safety-relevant fields, including the societal impacts of increasingly capable frontier models, showcasing our expertise across the safety landscape. ABOUT THE ROLE This is a brand new senior leadership role to provide technical leadership of Faculty's work on AI safety for the Foundation Labs - and presents a unique opportunity to shape how AI safety is done globally. Faculty is one of the world's leading applied AI companies, helping many of the organisations that shape our world to adopt AI successfully and safely. We play an important role in the emerging AI safety ecosystem. We already have many of the key Frontier Labs as clients, including Open AI and Anthropic, for whom we provide third-party red teaming, technical testing and other AI safety services. And we work with the UK government and other international governments on AI safety, including helping set up the AI Security Institute and delivering technical work which catalysed the first global AI Safety Summit at Bletchley Park in 2023. With the recent announcement of Faculty's acquisition by Accenture, we are investing to take our work on AI safety to global scale, and this role will be key to shaping that. This will include: * The opportunity to hire and build a world-class AI safety technical team - of calibre unmatched outside of the Labs themselves * The opportunity to design and lead an AI safety R&D programme - creating the advances which will enable AI safety at scale to keep pace with model advances * The opportunity to build our work with the Frontier Labs to scale - helping to test and assure new frontier models ahead of public release * The opportunity to contribute to and shape the international debate on AI safety, including with governments and other key bodies, working closely with Marc Warner Faculty's founder & CEO. This role will suit someone with a deep passion and commitment to AI safety, and represents a unique opportunity to contribute to this agenda globally. WHAT YOU'LL BE DOING: * Owning the technical strategy for AI Safety by determining research directions and building technologies that mitigate risks from alignment to societal harms. * Leading a high-performing R&D team through intentional hiring, mentorship, and the cultivation of a culture defined by technical excellence and high output. * Driving academic impact by guiding complex machine learning projects and securing top-tier publications that cement Faculty’s reputation in the safety domain. * Shaping market-leading offerings for frontier labs and security institutes, translating cutting-edge R&D into practical, groundbreaking safety solutions. * Overseeing technical delivery of AI safety and security projects, ensuring scientific rigor and high-quality outputs across evaluations and red-teaming. * Representing Faculty externally as a primary technical voice, delivering influential thought leadership and speaking at major global industry events. * Collaborating cross-functionally with business unit directors and commercial teams to align research investment with strategic growth and client needs. WHO WE'RE LOOKING FOR: * You have a proven track record of designing and leading high-performing technical teams, with the ability to manage R&D budgets and mentor senior technical staff. * You bring deep expertise in AI safety research, specifically regarding alignment, interpretability, and robustness in large language models (LLMs) or safety-critical systems. * You possess a strong scientific background evidenced by high-impact machine learning publications and a comprehensive understanding of transformer architectures. * You are a strategic visionary capable of setting research priorities that align with long-term organisational goals while remaining at the cutting edge of field developments. * You are a compelling communicator who can synthesise complex technical concepts into narratives that influence both C-suite executives and the broader research community. * You exhibit strong commercial acumen and stakeholder management skills, allowing you to navigate complex organisations and accelerate the delivery of high-value projects. INTERVIEW PROCESS 1. Talent Team Screen (45 mins) 2. Principles and Experience interview (60 mins) 3. Research Proposal (90 mins) 4. Leadership Interview (60 mins) 5. Meet with CEO (30 mins) OUR RECRUITMENT ETHOS We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: * Unlimited Annual Leave Policy * Private healthcare and dental * Enhanced parental leave * Family-Friendly Flexibility & Flexible working * Sanctus Coaching * Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

At Locus Robotics, we build AI-powered systems and intelligent robots that keep global supply chains running. Our platform combines advanced AI, real-time decision-making, and autonomous robotics to help leading companies improve efficiency, scale operations, and adapt to constant change. Locus Robotics is a place to do meaningful work with real-world impact, where your ideas move quickly from concept to deployment. We invest in our people, encourage continuous learning, and give you the opportunity to grow your career while building technology that is used every day at global scale. The Technical Director, AI Enterprise Architect is a highly visible, hands-on individual contributor (IC) role with a direct mandate from the executive leadership team. As a strategic and technical leader, you will serve as a force multiplier across the organization, partnering with senior stakeholders to identify high-impact AI opportunities, translate complex business challenges into scalable AI-native solutions, and drive execution from concept through adoption. This is a rare opportunity to join one of the largest privately held robotics companies in the United States at the forefront of Physical AI. You will play a pivotal role in shaping and accelerating an enterprise-wide AI transformation initiative with full CEO and Board-level sponsorship. Working across business and technology functions, you will have significant influence over AI strategy, architecture, implementation, and measurable business outcomes—owning both the direction and the impact of the company's AI-first vision. This is both a strategy and build role - you will define the roadmap, architect the platform, and lead execution. Responsibilities Enterprise AI Transformation Strategy: Define and drive the company-wide AI roadmap, including prioritization frameworks, sequencing of initiatives, and executive alignment. Ensure a relentless focus on business outcomes rather than tool adoption. AI-Native Workflow Redesign: Partner with leaders across Sales, Customer Success, Finance, Operations, and Marketing to identify high-leverage opportunities. Redesign processes from the ground up into AI-native, automated workflows. AI Systems & Agentic Workflow Development: Design, build, and deploy production-grade AI systems, including agentic workflows that automate end-to-end processes. Own the full lifecycle—from scoping through deployment, monitoring, and iteration. LLM & Data Integration Architecture: Architect scalable LLM-powered systems, including retrieval-augmented generation (RAG), unified context layers, and integration frameworks that connect enterprise data sources. Data & Platform Engineering: Design and implement robust data pipelines, integration layers, and shared infrastructure that enable reusable, enterprise-wide AI capabilities. Ensure reliability, scalability, and accessibility across systems. AI Governance, Security & Standards: Establish frameworks for model governance, risk management, data access, and security. Define standards for tools, evaluation, and responsible AI usage. Technical Leadership & Culture Building: Drive AI adoption across the organization by mentoring leaders, establishing best practices, and fostering AI-native ways of working. Core Expertise * Deep expertise in modern AI techniques, including transformer architectures, multimodal systems, and LLM application design. Strong understanding of: Fine-tuning and adaptation (LoRA, PEFT, RLHF/DPO), RAG systems, embeddings, and tokenization and Prompt engineering and tool-augmented agents * Proven track record designing and operating production-grade AI systems that deliver measurable business impact (e.g., efficiency, revenue growth, cost reduction, user experience). * Experience embedding AI into core enterprise systems (CRM, ERP, knowledge systems, collaboration platforms) to enable end-to-end workflow transformation. * Strong grounding in: Data engineering (ETL/ELT, pipelines, APIs), Data architecture (Lakehouse, storage systems), Metadata systems (catalogs, lineage), Governance, security, and compliance frameworks Qualifications * Bachelor’s degree in Computer Science, Engineering, or a related technical field required; Master’s or PhD preferred * 5+ years leading enterprise AI or digital transformation initiatives, with demonstrated ownership of strategy through execution * 5+ years of hands-on experience in software engineering, data engineering, or AI/ML roles, with strong proficiency in Python and modern cloud platforms (AWS, Azure, or GCP) * Proven experience designing and deploying production-grade AI systems, including agentic workflows that automate end-to-end processes and drive measurable business outcomes * Deep expertise in LLM-based systems, including RAG architectures, prompt engineering, tool integration, and enterprise use of foundation models (e.g., GPT-4, Claude, or equivalent) * Strong foundation in data engineering and architecture, including ETL/ELT pipelines, APIs, Lakehouse environments (e.g., Databricks), and data quality/governance frameworks * Experience building scalable AI platforms including: Shared services, connectors, and agent frameworks, eEvaluation and observability tooling and deployment and scaling infrastructure * Ability to operate at both strategic and deeply technical levels- prototyping, architecting, and delivering complex AI systems in production environments. * Working knowledge of classical machine learning techniques (regression, classification, anomaly detection, time-series forecasting) and when to apply them vs. LLM-based approaches * Demonstrated ability to translate business problems into scalable technical solutions, with strong business acumen and outcome-driven thinking * Excellent English communication and leadership skills, with the ability to engage both technical teams and executive stakeholders and drive cross-functional alignment The expected base salary range for this role is $200,000 - $300,000 annually, based on external market data, plus bonus and equity.  Actual offers will depend on factors such as the candidate’s experience, education, training, key or critical skills, geographic location, and current market and business conditions Additional Information  Locus Robotics is an equal opportunity employer. Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.  Additional Information  Locus Robotics is an equal opportunity employer. Application Fraud Detection Notice: To help maintain a fair and secure hiring process, Locus Robotics may use AI-assisted and other automated tools to detect suspected fraud, misrepresentation, or misuse of the application process. Hiring decisions are not made solely by automated means unless otherwise disclosed where required by law.  It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.