Lead Voluntas’ technology strategy, architecture, AI engineering agenda, and technology team growth. Build internal systems and client-facing platforms, apply LLMs responsibly in production, establish engineering, security, privacy, and data standards, and partner with consultants, researchers, and product owners. The role also includes hiring and mentoring engineers, evaluating build-versus-buy decisions, contributing to commercial offerings, and raising AI literacy across the organization.
About Voluntas
At Voluntas, we believe that every human being has the right to live a meaningful life. Across organizations and societies, we work to realize human potential through insight, strategy, and action.
As part of this journey, we are strengthening how we use technology. Not as an end, but as a way to support better thinking, better collaboration, and more meaningful work. We are therefore building new digital capabilities that improve how we operate internally and how we support our partners externally.
We are looking for an AI Lead to help shape this work. As the the AI Lead you will own the direction and growth of our technology team, building the systems that carry our internal delivery, elevating the digital platform through which we serve clients across markets, and turning our commitment to blended intelligence into working technology.
This is a leadership role that will set technical direction, architecture, and standards, and you will stay close enough to the work to be credible in it. You will hire, mentor, and grow a team of tech specialists, and you will sit at the table where commercial, product, and research decisions are made. Furthermore, you approach work with independence, structure, and creativity. All with the purpose of realizing human potential and growing our global business.
AI adoption at Voluntās is not a technology initiative. It is a strategic commitment rooted in our purpose. Over the coming year we are systematically redesigning repetitive workflows, elevating AI literacy to a baseline capability, and structuring products for advanced use. You will lead the engineering side of that agenda, with the discipline that every deliverable carries named human responsibility, and that AI-generated output is always an input to reasoning, never a substitute for contextual understanding.
So, if you are motivated by creating something that has never been done before, by doing something that will make a difference to others, and by making more lives more meaningful, then, please come work with us!
- You put honesty above compassion.
- You put self-awareness above self-confidence.
- You put facts above assumptions.
- You put aspirations and hard work above good intentions.
- 10-12 years of hands-on experience building and shipping software, including at least 4-5 years leading and growing engineering teams.
- A master’s degree in (M.Tech, MCA, MCS, or similar) is an advantage.
- Deep full-stack fluency, Python and modern JavaScript/TypeScript, with a front-end framework such as ReactJS and a back-end framework such as Django, Flask, or FastAPI.
- Proven experience owning platform architecture end to end: data models, APIs, integrations, authentication, multi-tenancy, and client-facing delivery at scale.
- Strong command of cloud infrastructure, CI/CD, containerization, testing, and monitoring, you have taken systems from prototype to production and kept them healthy there.
- Solid experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB) and with the data pipelines that feed analytics, reporting, and dashboards.
- Hands-on experience applying LLMs in production: prompt and context design, embeddings, semantic search and RAG, evaluation, and the cost, latency, and reliability trade-offs that come with them.
- Familiarity with LLM application frameworks such as LangChain or LlamaIndex, and with agentic coding tools such as Claude Code (CLI), Codex, or similar.
- Good understanding of NLP, topic modelling, and text analytics as applied to qualitative and quantitative research data.
- Sound judgement on security, privacy, and data protection , particularly where employee, survey, and client data is concerned.
- Good experience with data visualization toolkits and an eye for how insight is presented, not only computed.
- Excellent communication skills in English, with the ability to hold a serious conversation with both engineers and non-technical stakeholders.
- Experience working in international, cross-functional, and distributed teams.
- You display a structured and entrepreneurial mindset even in chaotic circumstances.
- You demonstrate a high level of personal accountability and strong work ethics.
- You can contribute creative ideas to realize the full potential of organizations and have the drive to implement these ideas.
- You like to mentor and guide peers to realize their own potential, and you measure your own success partly by theirs.
- You are knowledgeable about best practices, and more importantly, you know when to break them.
- You are comfortable being the most senior technical voice in the room, and equally comfortable being challenged in it.
- You approach AI with humility; you know it can amplify bias and superficial reasoning if used carelessly, and you design for human judgement to remain the final authority.
- Technology direction. Own Voluntās’ technology strategy and roadmap and grow the tech division into a capability the firm can scale.
- Internal systems. Design and build the internal tools and workflows that make delivery lighter, removing repetitive and heavy work that does not require human judgment, so capacity is freed for advisory, research, and product innovation.
- Blended intelligence. Translate our Blended Intelligence Commitment into a concrete engineering agenda: AI-enabled components visible in the delivery model, selected products structured for advanced use, and clear standards for responsible use.
- Team leadership. Hire, mentor, and grow a team of engineers; set the bar for code quality, review, documentation, and technical craft; and build the career paths that keep good people here.
- Delivery partnership. Work alongside consultants, researchers, and product owners to turn engagement needs into working software.
- Standards and governance. Define and enforce development guidelines, security and data protection practices, and the ethical and data standards that remain non-negotiable.
- Commercial contribution. Contribute to positioning our digital and AI-enabled capabilities in client engagements and help shape the offerings and service components that grow out of them.
- Build versus buy. Evaluate emerging tools, frameworks, and partners, and make clear-eyed decisions about what we build ourselves and what we adopt.
- AI literacy. Raise the technical and AI literacy of the wider firm through mentoring, training, internal enablement, and practical demonstration.
- A mandate to further build a technology team, not to inherit one.
- Ownership of a live product portfolio serving clients across several markets.
- A seat where technology, research, strategy, and philosophy meet.
- The chance to define what responsible and meaningful use of AI looks like inside a purpose-driven organization.
How to apply
- Don’t let the fact that you do not tick all boxes stop you from applying. At Voluntas, we are committed to creating a diverse environment. We are proud to be an equal opportunity employer and a community of colleagues from all continents and varied backgrounds.
- We encourage all qualified applicants to apply irrespective of race, religion, gender, gender identity or expression, sexual orientation, disability, age, or veteran status.
- Interested candidates should submit a resume (CV), and a cover letter (maximum one page) addressing the following three points:
- Write a short story of who you are as a human being.
- What is your most inspiring project imaginable in Voluntas (not a current one).
- Describe the three biggest weaknesses you will bring to Voluntas.
- The cover letter (maximum one page) and CV must be written in English.
- The selection process will include three rounds of interviews and a Cultural Preference Assessment (CPA).
Deadline: 31st October 2026.
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