Title: Senior AI Product Engineer, Frameworks Location: Hybrid - San Francisco Department: Engineering Job Description: Our Mission & Values: At Drata, we help companies earn and keep the trust of their users, customers, partners, and prospects. We’re the proof layer that shows great companies deserve the trust they aim to build. We live our values every day. Built on Trust means consistency is everything. Act with Integrity by always doing the right thing. Being Customer-Obsessed keeps the people we serve at the center of our work. Competitive Fire drives us to push ourselves harder than anyone else. Diversity brings unique perspectives that lead to better solutions. Automation First ensures we save time and money by making efficiency a priority. Our Culture & Work Style At Drata, we’re not just building software - we’re building a mindset. Everything we do springs from: - Be a Driver (Owner‑Operator Mentality): Own your work. Improve relentlessly. Deliver results. - Move at Drata Speed (Precision & Velocity): Fast decisions. Quick learning. Immediate impact. - Stay Mission-Driven (Customer‑Obsessed): Challenge assumptions. Deliver value. Stay hungry. We pair that high-velocity culture with a thoughtful hybrid model because we believe flexibility and collaboration both matter. That’s why in the Bay we come together in-office Tuesday through Thursday our high‑impact collaboration days where teams align, strategize, and innovate. Mondays and Fridays are flexible, giving you space for focused work, balance, and autonomy. If you thrive when you’re empowered, energized, and working with smart, mission-driven people, you’ll feel at home here. Why Join The Drata Team? The best way to understand the Driver’s Mindset is to see it in action. We’re an award-winning, mission-driven team of 600+ people worldwide, united by a culture that values trust, speed, and continuous growth. - See the Speed: Watch our CEO, Adam Markowitz, discuss the hyper-growth journey, from $0 to $100M ARR in just four years - Hear the Voice of the Team: Explore our "Life at Drata" page for employee testimonials on our collaborative and the growth opportunities available. - Experience the Impact: See why we are consistently recognized on Fortune's Best Workplaces lists. - Connect with Us on Socials: LinkedIn - follow us for company updates, employee stories, and career news. Job Summary: Drata is reimagining compliance as an intelligent, always-on experience — and AI is at the center of that vision. We are seeking a Senior AI Product Engineer to own the full-stack development of customer-facing AI features, embedded directly within our product teams. This is not a platform or infrastructure role. You'll translate the capabilities of LLMs, agents, and RAG pipelines into intuitive, polished product experiences — streaming chat interfaces, agentic workflows, intelligent summaries, and guided automation that makes compliance feel effortless. You'll partner closely with AI Engineers who own the backend intelligence and Product and Design who shape the vision, but you are the engineer who closes the loop between AI capability and the customer experience. What you'll do: - Build AI-powered product features end-to-end — React/TypeScript UI through Node.js/Python backend — with real-time streaming, graceful degradation, and human-in-the-loop interaction patterns - Translate AI capabilities — RAG pipelines, agentic workflows, structured reasoning — into interactions that feel natural to compliance practitioners - Partner with AI Engineers to define API contracts and output schemas; translate RAG pipelines, agentic workflows, and structured reasoning into interactions that feel natural to compliance practitioners - Advocate for the user's perspective in technical decisions; surface where model outputs break down in practice and iterate the product layer accordingly - Build user-facing feedback loops that capture signal on AI output quality and make it actionable for the broader AI team - Instrument AI features with product-level observability — latency, engagement, task completion, drop-off — alongside integration and end-to-end tests that validate behavior across the full stack - Establish reusable patterns (streaming hooks, feedback components, AI state management) that accelerate future AI feature development - Mentor engineers newer to AI product development; participate in design reviews with both engineering depth and product instinct What you'll bring: - Experience: 5+ years of software engineering experience with a proven track record of shipping full-stack features in production; 2+ years working on AI-powered product features - Frontend: Strong proficiency in React and TypeScript; experience building responsive, interactive UIs that handle async, streaming, and real-time data gracefully - Backend: Solid Python and Node.js and Typescript skills; experience designing and consuming APIs that integrate with LLM providers, orchestration frameworks, or AI services - AI Fluency: Hands-on experience building with LLM APIs (OpenAI, Anthropic, etc.); practical understanding of prompt engineering, context management, RAG, Quality/Evals(Braintrust or others) and structured outputs — not just calling an endpoint, but knowing what makes a prompt reliable in production - Familiarity with agent frameworks (LangGraph, LangChain, custom runtimes) and how to build product surfaces on top of multi-step agentic workflows - Streaming & Real-Time UI: Experience implementing streaming response patterns (SSE, WebSockets, chunked HTTP) and building UIs that handle progressive, partial, and uncertain outputs - Product Sense: Strong intuition for user experience; you ask "does this feel right to the user" as often as "does this work technically" — and you're right about both - Collaboration: Track record of working closely with AI/ML engineers, product managers, and designers; comfortable operating in a cross-functional product team where the requirements are often ambigous and the iteration is fast Bonus Qualifications - Experience in compliance, security, GRC, or other document-heavy enterprise domains - Experience with MCP (Model Context Protocol) or similar tool-use interfaces for AI agents - Exposure to RAG system design — not as an owner, but as a consumer who has debugged retrieval quality issues from the product layer - Experience building feedback and annotation tooling that captures user signal on AI output quality Impact This role is the bridge between Drata's AI ambitions and the customers who will benefit from them. Your work will: - Define the standard for how AI features look, feel, and behave across Drata's product — setting a bar that the entire product engineering organization will build to - Make compliance practitioners more capable and confident by turning AI intelligence into product interactions they actually trust and use - Accelerate the velocity of AI product development by establishing reusable patterns, components, and interfaces that make the next AI feature faster to ship than the last - Influence the roadmap through your proximity to both the customer experience and the AI capability layer — you'll see the gaps and the opportunities before almost anyone else How we support you: At Drata, our people are our strongest advantage—and we prove it with support that exceeds industry standards. Our total rewards package is designed to power your well-being, accelerate your growth, and keep your work-life balance thriving. - Shared Success: We provide stock equity to ensure that as the company grows, you share directly in that success. Equity gives every employee a sense of ownership and the opportunity to celebrate our wins together—because your contributions don’t just support our progress; they help drive our collective success. - Health & Wellness: Up to 100% employer-paid premiums for medical, dental, and vision coverage for employees and their dependents, along with comprehensive wellness benefits and healthcare concierge services designed to support your needs beyond traditional insurance. - Financial Well-being: A comprehensive suite of financial benefits, including a 401(k) plan, company-paid life and disability insurance, tax-advantaged spending accounts, and a range of discounted voluntary offerings to help you customize and strengthen your overall financial position. - Family Support: We want to support you in life's most important moments, so we offer a paid Parental Leave policy, after six months of employment. Employees also receive access to Kindbody fertility and family-building benefits and dedicated leave specialists who help guide you through the entire process. - Growth & Development: Generous annual stipends for both professional and personal development, empowering you to invest in your continued growth. You’ll also have access to a wide range of internal learning opportunities, ensuring you can build new skills, deepen your expertise, and advance your career with confidence. - Time Off & Flexibility: We believe that to do your best work, you should get the time you need for rest, rejuvenation and recovery. Drata offers a flexible vacation policy, paid holidays, and other perks to recharge. This role will receive a competitive base salary, benefits, and stock, typically in the form of Restricted Stock Units (RSUs). The applicable salary range for this role is: $166,700 - $225,900. A variety of factors are considered when determining someone’s leveling and compensation–including a candidate’s professional background and experience. These ranges may be modified in the future and final offer amounts may vary from the amounts listed above.

• Design and develop scalable solutions utilizing AI tools and machine learning models • Conduct research, testing, and analysis to develop machine learning algorithms and predictive models • Leverage big data processing and storage technologies to create datasets, prototypes, and data-driven solutions • Perform model training, evaluation, integration, testing, tuning, and ongoing performance monitoring • Lead and/or develop project requirements from inception through completion for complex and highly complex programs, while providing strategic guidance, technical leadership, and expert consultation to program and project teams • Demonstrate continuous learning and adaptability within large-scale enterprise IT environments • Troubleshoot software applications and technical implementations across complex enterprise ecosystems • Design, develop, and integrate APIs to support business and technical requirements • Query, manage, and analyze data using both SQL and NoSQL database technologies

Role Description The Senior Director, Data and AI Engineering will be a visionary and strategic leader responsible for defining and executing the data and AI engineering strategy across the entire R&D value chain with a deep knowledge of AI and R&D Data. This role will empower scientific and business functions—including drug development, clinical trials, real-world data evidence—by delivering robust, scalable, and compliant data and AI foundations and implementing advanced data, AI, and Generative AI (Gen AI) solutions. As a technical leader, the Senior Director will manage a high-performing team of data engineers, AI/MLOps specialists, and application support team to foster a culture of innovation, and ensure the adoption of best-in-class engineering practices within a regulated pharmaceutical environment. This leader will bridge the gap between scientific ambition and technical execution, translating complex R&D challenges into impactful data and AI engineering solutions. The Data and AI Engineering team will focus on establishing and enhancing Otsuka’s Data and AI solutions foundations on top of the AI platform provided by Data and AI platform team in IT. Qualifications - Expertise in real-world data assets and using them to generate scientific evidence and guide operational effectiveness and efficiencies. - Deep expertise across data engineering, representation, Gen AI, AI, and machine learning techniques and experience in architecting and delivering AI/ML use cases. - Strong team leadership, internal and cross-functional collaboration, project management skills with a focus on delivering impactful initiatives. - 12+ years of progressive leadership experience in data engineering, AI/ML, and Gen AI with at least 5 years in senior technical leadership or management roles. - Strong and demonstrated experience in architecting, building, and maintaining large-scale data and AI solutions in a scientific, regulated, or research-heavy environment. - Strong experience working within the pharmaceutical, biotech, or life sciences industry, particularly within R&D, is highly desirable along with a deep understanding of AI and Machine Learning and its applications in Pharma. - Proven track record of implementing and deploying Gen AI and large language model (LLM) applications in production environments. - Creative problem solving using responsible use of technology. Requirements - Define and drive the strategic vision and roadmap for data engineering, AI, and Gen AI capabilities within R&D, aligning with overall business objectives and scientific priorities. - Serve as a key thought leader and trusted advisor to senior R&D leadership on opportunities and risks related to AI and data technologies. - Evaluate and adopt emerging data and AI technologies, balancing new opportunities with the need for scalability, reliability, and regulatory compliance. - Deliver leading edge engineering approaches, effective enterprise data strategy, robust and responsible AI/ML model development. - Lead and deliver the design, development, and deployment of extensible and scalable data engineering for complex R&D Data, pipelines, and architecture for AI applications. - Oversee the implementation of AI and Gen AI use cases from ideation to production deployment. - Champion engineering best practices, review AI solution architectures, and data & AI observability. - Architect and scale MLOps practices for in-house applications to support the entire model lifecycle. - Drive awareness of AI/ML applications and the importance of strong Data and AI engineering foundation across the organization. - Provide technical and engineering support for Data and Information Governance, quality, and FAIR data. Benefits - Comprehensive medical, dental, vision, prescription drug coverage. - Company provided basic life, accidental death & dismemberment, short-term and long-term disability insurance. - Tuition reimbursement and student loan assistance. - A generous 401(k) match. - Flexible time off, paid holidays, and paid leave programs. - Other company provided benefits.

Role Description We are looking for a hands-on AI Engineer to design, build, and deploy intelligent systems across a range of client environments. This is a technically deep role suited to someone who thrives at the intersection of machine learning, software engineering, and product thinking. You will work across the full AI development lifecycle — from prototyping and model integration to production deployment and ongoing optimisation. The ideal candidate is fluent in modern AI tooling, thinks in systems, and can translate complex technical concepts into scalable, working solutions. Key Responsibilities - Design and build AI-powered features, pipelines, and automation workflows from scratch - Integrate and fine-tune LLMs, embedding models, and other ML systems into production applications - Develop and maintain RAG pipelines, vector search systems, and agent-based architectures - Write clean, well-structured code across backend and API layers to support AI feature delivery - Evaluate, benchmark, and iterate on model outputs to ensure quality and reliability - Collaborate with cross-functional teams to scope requirements and architect AI solutions - Stay current with the rapidly evolving AI landscape and proactively introduce relevant tooling and approaches - Document technical designs, system behaviour, and deployment processes clearly and thoroughly Qualifications - Strong programming skills in Python; solid understanding of software engineering fundamentals - Hands-on experience building with LLMs (OpenAI, Anthropic, Mistral, or similar) via API and SDK - Practical experience with RAG architectures, vector databases (Pinecone, Weaviate, Chroma, etc.), and prompt engineering - Familiarity with AI agent frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI - Solid understanding of REST APIs and experience integrating third-party services and data sources - Ability to work autonomously in a fast-paced remote environment with minimal hand-holding - Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered. Preferred Qualifications - Experience with model fine-tuning, RLHF, or custom training workflows - Familiarity with MLOps tooling and model deployment pipelines (Docker, cloud functions, etc.) - Exposure to multimodal systems (vision, audio, or document understanding) - Background in data engineering or working with structured/unstructured data at scale - Contributions to open-source AI projects or a strong public portfolio of AI work Tools & Technology - Python, REST APIs, and relevant AI/ML libraries - LLM platforms: OpenAI, Anthropic, Mistral, Hugging Face - Vector databases and embedding infrastructure - Agent frameworks: LangChain, LlamaIndex, CrewAI, or similar - Cloud infrastructure (AWS, GCP, or Azure) - Google Workspace, Slack, Zoom, and remote collaboration tools Please note: It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps — the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles. We connect top talent with vetted employers, competitive pay, and real growth opportunities.