The Opportunity
You will be a key member of our fast-growing and high-performing AI Platform team in the US, owning the design and build-out of our AI Context Layer - the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in. We are looking for an experienced AI Engineer who can help realize the Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for engineers who are passionate about their work and who thrive on leading-edge technologies to develop ground-breaking AI-driven enterprise-grade applications.
On a day-to-day basis, you will be responsible to
- Embed with feature teams across the organization to understand what they need from the context layer - what data, at what quality, in what form - and use those insights to drive the platform roadmap.
- Build the technical vision and roadmap for our Context Layer: a collection of high-quality data products - including a knowledge graph, RAG engines, and retrieval/search infrastructure - that give AI agents access to the best possible context about our customers and their revenue processes.
- Design and own the access control and RBAC model for the context layer - a genuinely hard problem at the intersection of multi-tenant data, agent identity, and fine-grained permissions.
- Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the context layer, ensuring they are ergonomic, well-documented, and built for scale.
- Identify data platform dependencies and work closely with data engineering to ensure the underlying data infrastructure can reliably service the context layer's needs.
- Drive architecture discussions, design and code reviews, and set the technical standard for how context is modeled, stored, retrieved, and governed.
- Address governance and security requirements around data access, lineage, and auditability in an AI context.
- Contribute to hiring strong and diverse talent to strengthen the team.
- Contribute actively to internal documentation, onboarding, and platform adoption programs to ensure the Context Layer is well-understood and widely used.
What We're Looking For
We're looking for a Principal Software Engineer, AI Principal AI Engineer to lead the design and build-out of our Context Layer - the data platform that gives our AI agents access to high-quality, well-governed context about the world they operate in. This includes a knowledge graph, RAG and retrieval systems, and the access control and governance infrastructure that sits around them. You will be the technical owner and driver of this platform, working across feature teams and data engineering to build systems that are accurate, fast, secure, and a joy to build on. This role sits alongside talented staff engineers who own specific platform domains. The principal brings cross-cutting technical leadership, roadmap synthesis, and the ability to connect the dots across those domains.
The Skill Set
- 12+ years of professional software engineering experience, with a strong focus on data-layer or search/retrieval infrastructure
- Proven experience designing and building knowledge graphs and/or large-scale retrieval and search systems in production
- Deep expertise in RAG architectures, vector databases, and embedding-based retrieval - including evaluation, quality tuning, and relevance optimization
- Strong understanding of access control and RBAC design in multi-tenant, data-rich environments, with the judgment to navigate the tradeoffs involved
- Experience designing developer-facing APIs and SDKs, with a track record of building interfaces that are intuitive and well-adopted internally
- Familiarity with data governance, lineage, and audit-ability requirements - particularly in enterprise or regulated contexts
- Demonstrated ability to lead technical initiatives and drive cross-functional collaboration.