Top Tech Jobs & Startup Jobs

Lead development, deployment, and maintenance of production ML and AI systems (including LLM inference, RAG, similarity search, observability, and governance). Collaborate cross-functionally to build data pipelines, fine-tune foundation models, apply responsible AI practices, and contribute technical vision for scalable, high-performance AI infrastructure in risk management.

Lead design, develop, test, deploy, and support foundational AI systems including foundation model training, LLM inference, similarity search/VectorDBs, guardrails, evaluation, observability, and optimization for scalability, cost, latency, and throughput. Partner cross-functionally and contribute to technical vision and roadmap.

Design and build data solutions using open-source technologies; enable self-service data consumption; partner with business to develop dashboards and insights; perform analysis; ensure data quality, metadata, lineage, and governance; collaborate with tech teams on security and data access; build monitoring and reporting for data quality.

Lead modernization of enterprise AI/ML infrastructure and analyst workflows. Build agentic, scalable, secure platform services, integrate generative AI and low-code/no-code tooling, scale AutoML for tabular and time-series, and engineer automated governance and controls while mentoring teams and influencing cross-functional stakeholders.

Design and prototype human-centered product experiences using interaction, visual and service design. Collaborate with product, engineering and business partners to create journey maps, high-fidelity designs, prototypes and design-system components that balance customer needs, technical constraints and business goals.

Lead a team building cloud-based backend microservices and AI-enabled risk management products (AQuA). Design and deliver data pipelines, batch processing, APIs and integrations, collaborate with product managers, mentor engineers, evaluate and occasionally write code, and deploy solutions using cloud, container orchestration, databases, and modern languages.

Design and deliver high-impact, AI-enhanced learning for auto sales teams. Create video scripts, courses, simulations, digital games, and microlearning for Slack/Google Suite/Cruiser. Turn classrooms into practice-focused workshops, integrate xAPI analytics, partner with SMEs, and measure behavior change and business outcomes.

Lead a cross-organizational program to transition engineering to an AI-driven, self-optimizing ecosystem with robust telemetry and evaluation. Orchestrate strategy and execution, mitigate technical risk, build and grow a TPM practice, align product/engineering/design/data science, and deliver measurable business impact.

Lead development and productionization of scalable ML models and infrastructure. Design ML architectures, build data pipelines, deploy and monitor models, ensure CI/CD, governance, and collaborate with cross-functional Agile teams.

Lead administration and governance of an enterprise claims and disclosures library. Manage claim lifecycles, workflows, substantiation, mapping to legal disclosures, permissions, metadata, reporting, audits, and stakeholder relationships across Marketing, Legal, Compliance, and Product. Drive project delivery and process definition to mitigate regulatory risk and enable faster, compliant messaging.