Top Tech Jobs & Startup Jobs in Milwaukee, WI

Leads Finance of America's AI security and safeguards program, including strategy, governance, red teaming, model and application security testing, threat detection, monitoring, and control validation. Maintains the enterprise AI inventory, evaluates use cases, integrates security requirements into procurement and development processes, and partners with legal, compliance, risk, and security teams. Reports AI risk posture to executives and boards, supports audits and regulatory examinations, and builds a team while remaining hands-on.

Supports product development, launch, optimization, roadmaps, market research, customer feedback, product requirements, documentation, performance tracking, implementations, and regulatory monitoring. Collaborates with Product Managers, account management, and cross-functional teams to execute initiatives, analyze opportunities, support system enhancements, and maintain product quality and compliance.

Lead the technical direction, development, evaluation, security, observability, and cost optimization of production LLM agent systems. Build shared agent infrastructure, improve reliability and fault tolerance, establish testing and rollout standards, and partner with engineering, product, research, and security teams. Mentor engineers, support AI coding-agent adoption, investigate incidents, and guide model selection and production readiness across teams.

Leads Ludia Consulting’s AI strategy, governance, security, budget, and engineering team. Builds production AI agents, copilots, reusable accelerators, RAG pipelines, and responsible-AI controls using Microsoft technologies, Dynamics 365, Power Platform, and Dataverse. Oversees customer AI implementations, adoption, enablement, and delivery standards while partnering with executives, sales, and business functions. The role requires hands-on coding, technical architecture, team leadership, customer engagement, mentoring, and measurable commercialization of AI solutions.

Build and operate production-grade agentic AI systems for enterprise SaaS, including orchestration, MCP tools, memory, RAG, knowledge retrieval, security guardrails, evaluation, and observability. Own products from prototyping through production, make tradeoffs among accuracy, latency, reliability, and cost, support incident response, create reusable tooling, and mentor engineers. The role requires expert Python, cloud-native infrastructure, distributed systems, and hands-on LLM production experience.

Qualifies inbound leads, conducts targeted outbound prospecting, researches entertainment production activity, prioritizes marketing-qualified leads, supports Account Executives, maintains CRM records, and develops consultative selling skills for progression into an Account Executive role.

Own the cryptographic core: select and evolve MPC/TSS schemes, author protocol reviews, implement and review Rust/Go production crypto, lead audit responses, prepare incident fixes, publish and represent externally, and teach/mentor engineers while scaling the crypto function.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Design, build, and maintain backend services and APIs using Ruby on Rails. Ensure performance, scalability, reliability, and test coverage. Collaborate with Product, Frontend, Data Engineering, and QA to deliver production-quality code for web and mobile platforms.

Develop and modernize full-stack HMMS features across React and TypeScript interfaces, Java and Spring Boot services, APIs, application servers, and relational databases. Build secure, accessible, testable software; optimize SQL and reporting; troubleshoot cross-layer defects; modernize legacy enterprise systems; and collaborate with product, QA, architecture, DevOps, and engineering teams through design, implementation, testing, and release.

Support Netflix live streaming events by improving cloud traffic capacity, scalability, observability, and reliability. Design and execute load, performance, resilience, fault-injection, and functional tests; analyze results; develop capacity plans; debug complex distributed systems; and collaborate across teams during event planning and launches. Participate in on-call rotations and support flexible event-based schedules.

Build foundational advertising account systems for Netflix Ads, including advertiser data models, account hierarchies, enrichment, verification automation, cohort assignment, spend attribution, and customer-facing APIs. The role involves designing scalable, multi-tenant, API-first cloud services with strong governance, reliability, observability, and operational excellence. Engineers will make zero-to-one architectural decisions supporting sales workflows, media planning, programmatic integrations, and advertising growth.

Build and lead North’s Applied AI engineering team, taking AI solutions from prototype to production in regulated financial-services workflows. Responsibilities include architecting agentic systems, chatbots, copilots, and ML models; establishing secure enterprise integrations; managing evaluations, monitoring, CI/CD, incident response, and cost controls; and setting technical strategy and responsible-AI governance. The role requires close collaboration with business, product, risk, compliance, legal, and security stakeholders.

Remote senior inside sales rep responsible for self-sourcing leads, high-volume cold calling, building pipelines, using Salesforce, closing deals, and meeting quotas for payment processing solutions.