• Own the end-to-end product strategy and roadmap for Invoca’s AI Platform • Establish how AI agents execute in production • Establish clear platform contracts—APIs, configuration schemas, versioned artifacts • Collaborate with AI engineering and data teams • Drive standardization through paved roads, SDKs, and shared components • Define and enforce platform-level quality, safety, and governance mechanisms • Shape the developer and product experience • Guide the evolution from an internal platform to a product-grade system • Evaluate build vs. buy decisions • Define success metrics for the AI Platform

We are looking for a Data Scientist II to help design, build, and deploy machine learning and generative AI solutions that power real world products and decisions. In this role, you’ll work on production AI systems, partner closely with engineering and product teams, and take ownership of meaningful data science initiatives from idea to deployment. This is a hands on, individual contributor role for someone who enjoys shipping models, working with modern AI tooling, and solving real business problems with data. Develop, evaluate, and deploy predictive and generative models for real production use cases Perform feature engineering and data preparation for modeling workflows Translate business and product questions into analytical solutions Build and maintain LLM powered features and services Develop retrieval augmented generation (RAG) pipelines using embeddings and vector databases Integrate LLMs with APIs and internal tools using structured function calling Finetune foundation models with parameter efficient approaches (e.g., LoRA) Evaluate model quality, detect hallucinations, and implement safety guardrails Use synthetic data to improve model performance, testing, and fairness Optimize inference performance and cost across different model providers Deploy and operate machine learning and GenAI models in production Build CI/CD pipelines for models and data workflows Monitor performance, data quality, and model drift Design versioning, rollback, and retraining strategies Partner with platform and infrastructure teams to ensure reliability and scalability Build low latency data pipelines and real time decisioning systems Work with streaming data and event driven architectures Support systems with strict uptime and response time requirements Contribute to feature stores used for both real time and batch inference

• Design and implement end-to-end data pipeline architecture spanning edge devices, ingestion, processing, storage, and delivery into analytics/AI workloads • Build scalable ETL and data processing frameworks with orchestration, schema management, versioning, and automated data quality controls • Develop real-time and streaming infrastructure supporting event-driven systems, edge-to-cloud synchronization, buffering strategies, and strict latency requirements • Own DevOps and infrastructure engineering, including CI/CD pipelines, infrastructure-as-code, container orchestration, and production deployment workflows • Implement and maintain security architecture across the stack, including access controls, secrets management, network segmentation, vulnerability scanning, and compliance practices • Establish strong observability, monitoring, and operational tooling for distributed systems running across cloud, edge, and enterprise integrations • Support onboarding of complex multimodal data sources including telemetry, time-series, video, audio, LiDAR, and geospatial datasets

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Decision Systems Architect plays a critical role in advancing Sena’s decision capabilities by formalizing judgment, reasoning frameworks, and evaluation logic into system-native structures. This role focuses on extending the breadth, depth, and consistency of Sena’s decision logic as new customer use cases, signal types, and business questions emerge. This is a product-embedded role at the intersection of systems thinking, applied reasoning, and AI enablement. - Designing and refining decision frameworks that guide how Sena interprets customer intent - Defining signal mapping logic that structures how business questions are decomposed into actionable signals - Establishing configuration schemas that specify how data must be captured to support decision-grade outputs - Creating evaluation criteria and quality standards used to assess system outputs - Identifying recurring patterns, edge cases, and failure modes, and formalizing them into reusable system logic - Producing structured artifacts that directly inform Product and AI development workflows - Collaborating closely with Product, AI, and Engineering teams to ensure decision logic is encoded effectively into Sena All work in this role is expected to be system-oriented, reusable, and extensible. Qualifications - Strong systems thinking and the ability to formalize complex reasoning - Experience designing frameworks, methodologies, or structured decision logic - The ability to translate ambiguous problems into clear, explicit structures - Comfort working in highly autonomous, fast-moving environments - Intellectual curiosity and a willingness to challenge established methods Requirements - Candidates may come from applied research or technically rigorous domains where deep reasoning, formal abstraction, and the hands-on design of complex decision systems were core to the work. Culture Fit - Take initiative and operate with high ownership - Produce high output with limited resources - Prefer autonomy and accountability - Are inventive and comfortable rejecting outdated approaches - Are deeply focused and driven by hard problems How Candidates Are Evaluated - Their ability to structure and reason through ambiguous problems - The clarity, generalizability, and technical rigor of the frameworks they design - How effectively their thinking can be translated into system-level logic - The quality and rigor of their judgment under real-world constraints - Their ability to independently design, execute, and iterate on decision frameworks Summary The Decision Systems Architect helps define how Sena thinks as it continues to expand across new domains and use cases. This role is central to shaping the system’s long-term decision intelligence and is designed for individuals who want to work at the intersection of reasoning, systems, and product design.