Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.
Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.
We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:
- SonarQube: The world’s leading AI code review and verification platform.
- SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
- SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.
Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:
- Committed to our customers and community.
- Obsessed with quality.
- Deliberate in our decisions.
- Effective as one team.
With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.
As one of Sonar's first Forward Deployed AI Engineers, you will be the primary technical architect for how our most strategic enterprise clients and partners implement and deploy AI Development Life Cycle (AI-SDLC) solutions. You will establish the standard for organizations demanding quality, security, performance, and cost-efficiency from their AI coding workflows, translating Sonar's tooling into measurable outcomes and driving rapid market adoption through proven, production-grade client success.
What you will do
- Define & Champion the AI Development Life Cycle: Partner with engineering and platform teams to establish a repeatable AI-SDLC framework - from prompt engineering and code generation through review, testing, and production deployment. Identify where governance, quality gates, and security checks must be embedded to keep AI-assisted development trustworthy at scale.
- Sonar Integration & Enablement: Lead hands-on integration of Sonar products into customer CI/CD pipelines and AI-assisted workflows. With internal R&D in the loop, design implementations you will own end-to-end - integrating, optimizing, and productionizing within the client's existing ecosystem. Configure rules, quality profiles, and security policies aligned to each customer's risk tolerance and development maturity.
- Code Quality & Security Guidance: Advise customers on eliminating technical debt and vulnerabilities surfaced by AI-generated code. Translate Sonar findings into developer-friendly workflows that catch issues early - before they reach production - without slowing delivery velocity.
- AI Token Cost Management: Help customers instrument and optimize their AI toolchain spend. Define context strategies, caching patterns, and quality gates that reduce redundant generation cycles, keeping token consumption predictable and tied to business value.
- Customer Modernization Advisory: Assess current development practices and roadmap a phased transition to AI-native workflows. Deliver workshops, architecture reviews, and executive briefings that build organizational buy-in and accelerate time-to-value.
- Build Reusable Deployment Playbooks: Define and execute a technical strategy for integrating AI-SDLC solutions across diverse client environments — accounting for sector-specific security standards and performance SLAs. Package learnings into reusable playbooks and libraries that accelerate future deployments.
- Build Strategic Client Relationships: Operate with autonomy and agency to create deep technical partnerships with client engineering, data science, MLOps, and infrastructure teams. Drive high-value, referenceable production deployments that become the foundation for broader adoption.
- Serve as the Internal Voice of the Customer: Act as the primary internal consultant - advising product, research, and sales on real-world infrastructure limitations, performance bottlenecks, and emerging technical standards that shape product direction.
Experience and qualifications
- Education: Bachelor's degree in Computer Science or a related field.
- Experience: 2+ years in a technical, customer-facing role — Forward Deployed Engineer, Solutions Engineer, or Software/ML Engineer with consulting experience.
- AI-SDLC Expertise: Hands-on experience with CI/CD pipelines and AI development workflows, with a track record of delivering complex production environments.
- Forward Deployed / Consulting Background: Proven success working within or alongside client engineering teams to deploy and integrate high-performance AI systems — cloud or on-premise.
- Technical Depth: Fluency in modern AI coding models, Python, and deployment technologies including Docker, Kubernetes, and cloud AI platforms (SageMaker, Vertex AI, Azure AI).
- Communication: Ability to explain complex model performance and system architecture to both engineers and executives — translating technical detail into clear business value.
- Subject Matter Expertise: Continuously current on LLM capabilities and implementation patterns; self-driven to learn and teach.
We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.
Candidates need to be genuinely based in the location the role is posted — if that's not where you are today, we're happy to support relocation for the right person.
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you need any accommodation, please reach out to us at [email protected].
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
Skills Required
- Bachelor's degree in Computer Science or a related field
- 2+ years in a technical, customer-facing role such as Forward Deployed Engineer or Software/ML Engineer with consulting experience
- Experience across the Machine Learning lifecycle (training, optimization, deployment)
- Proven ability to lead and execute complex model deployments in production environments
- Proven track record working with client engineering teams to deploy and integrate high-performance software and ML workloads (cloud or on-prem)
- Understanding of modern ML frameworks and programming languages, including Python
- Experience with deployment technologies such as Docker and Kubernetes and cloud ML services (SageMaker, Vertex AI, Azure AI)
- Knowledge of LLM capabilities, implementation patterns, and ability to explain technical concepts to technical and non-technical audiences
- Ability to influence senior technical leaders and translate model/system performance into business value
What the Team is Saying
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What We Do
Sonar provides the essential verification layer for the AI-driven development era, ensuring all code—whether human-written or AI-generated—is code you can trust. Today, AI coding tools are generating explosive volumes of code. This has created an "engineering productivity paradox" : faster code writing doesn't automatically lead to faster, safer software delivery. The new bottleneck is verification. Sonar solves this. Integrating code quality and code security into a single platform (SonarQube), Sonar is the foundation for high performance software engineering, analyzing over 750 billion lines of code daily to ensure applications are secure, reliable, and maintainable. As an independent verification platform, Sonar enables organizations to securely develop at the speed of AI. We are driven by a deep belief in our people, a commitment to excellence, and an unwavering dedication to delivery. We operate as a united group where our collective success is the sum of each individual's contributions. Our company culture is driven by the values of CODE: Committed, Obsessed, Deliberate & Effective. This mindset reflects our culture of creativity, collaboration, and pride in the work we do. Rooted in the open source community, Sonar’s solutions support over 35 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by 7M+ developers worldwide, including ServiceNow, Booking.com, Deutsche Bank, AstraZeneca, and Ford Motor Company. Sonar is headquartered in Geneva, Switzerland with additional offices in Austin, Texas; Bochum, Germany; London, Singapore, and Tokyo. The company is rapidly growing with over 800 employees! Join us in our mission to solve the trillion-dollar challenge of bad code!
Why Work With Us
We are a product-first company, with a people-first culture. Every employee has the opportunity to grow and learn. We promote from within, provide regular feedback and professional development opportunities, value the right to fail along with respect and kindness and work with team members to achieve their full potential.
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Sonar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Sonar, we require employees to come into the office 3 days/week.
