Own AI operations and governance across the enterprise, ensuring systems are reliable, compliant, and secure.
Provide hands-on technical leadership in model evaluation, tuning, and troubleshooting alongside program oversight.
Build and lead a team responsible for AI sustainment, including strategic planning and executive communication.
Shield AI builds autonomous systems for defense and aerospace. As a growing company, it emphasizes a culture of innovation and technical rigor, seeking leaders to operationalize AI governance.
Design and implement security controls and governance frameworks for AI and machine learning systems.
Develop threat models and security architectures tailored to LLMs, AI applications, and training data pipelines.
Identify and mitigate AI-specific risks like prompt injection, model abuse, and data exfiltration.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. They operate as a technology-focused company with a remote team, emphasizing fair and efficient hiring processes.
Develop and execute a transformational third-party risk strategy integrating cybersecurity, privacy, resiliency, and AI risks into enterprise goals.
Design policies, standards, and scalable processes to streamline third party intake, risk assessments, and continuous monitoring.
Establish meaningful KRIs, KPIs, dashboards, and management routines to demonstrate program effectiveness and reduce third-party risk.
HealthEquity is a healthcare technology company with a mission to save and improve lives by empowering healthcare consumers. The company is a large, publicly traded organization with a culture of innovation, collaboration, and continuous improvement.
Shape and scale enterprise-wide AI capabilities as a strategic leader, bridging business teams, technology platforms, and AI initiatives.
Design scalable AI architectures and workflows across departments like Engineering, Sales, Marketing, Finance, Legal, HR, and Operations.
Create AI enablement programs including workshops, playbooks, and training materials to increase organizational AI maturity.
This role is listed on behalf of a partner company that manages applications and next steps. They are a global organization focused on enterprise-wide artificial intelligence capabilities, with a collaborative culture that values innovation and learning.
Define and evolve enterprise AI architecture patterns for LLM integration, RAG, agentic workflows, and prompt orchestration.
Design and build reusable AI components and shared platform services for observability, logging, and lifecycle management.
Architect engineering controls for responsible AI, access management, and governance compliance.
Shield AI is a venture-backed defense-tech company that builds intelligent systems to protect service members and civilians with products like Hivemind autonomy software and V-BAT aircraft. The company has offices worldwide and a culture that emphasizes innovation and mission impact.
Design, build, and maintain automated AI evaluation pipelines for production LLM applications.
Develop prompt engineering strategies and evaluate model performance using quantitative methods.
Analyze production AI behavior with Python, SQL, and statistical techniques to identify improvement opportunities.
GovWorx provides an AI-powered platform, CommsCoach, that supports 9-1-1 and emergency communications centers by automating quality assurance, training, and real-time call evaluation. The company is a growing technology team focused on public safety, collaborating across AI, engineering, product, and data science.
Monitor enterprise AI usage end to end to detect unauthorized AI tools and rogue agent activity.
Investigate alerts related to autonomous agents and AI-powered workflows, including data exfiltration and credential misuse.
Partner with security, legal, and engineering teams to align findings with incident response processes and support ISO 42001 audits.
AlphaSense provides AI-driven market intelligence and search to help companies make informed decisions. With over 2,000 employees across the globe, the company fosters a collaborative and innovative culture.
Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.
Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.
Design and own the playbook for AI productization, governance, and reusable internal tooling.
Champion AI-assisted development, TDD, and modern CI/CD practices across the organization.
Act as the primary technical authority bridging AI/ML architecture and executive strategy.
RYZ Labs is a startup studio that creates industry-defining companies by leveraging top talent and cutting-edge cloud technologies. Founded in 2021, we have a remote team across the US and Latam, with a culture of autonomy, ownership, and continuous improvement.
You will build AI-assisted tools, workflow automations, agents, prompts, and integrations to reduce manual effort and improve productivity.
You will partner with business stakeholders to understand high-friction workflows and deliver fit-for-purpose AI solutions.
You will implement engineering controls for data handling, access management, prompt safety, and output validation.
Shield AI is a venture-backed defense-tech company that develops intelligent systems, including Hivemind autonomy software and V-BAT and X-BAT aircraft, to protect service members and civilians. With offices across the U.S., Europe, the Middle East, and Asia-Pacific, the company's technology supports operations worldwide.
Own the technical vision and implementation of AI capabilities for MRO's healthcare products, including RAG pipelines and LLM integrations.
Architect and evolve production AI systems with human-in-the-loop feedback and model quality frameworks.
Collaborate with product, data engineering, and engineering teams to translate complex healthcare workflows into scalable, accurate, and compliant AI solutions.
MRO is a healthcare software company that builds AI-powered solutions for healthcare registry management. They are a full-time, remote-first organization with a focus on compliance and quality.
Own the end-to-end development of the AI governance product, from platform foundation to policy engine.
Strengthen enterprise capabilities for configuration management and agent governance in Jira environments.
Build direct partner relationships with Atlassian and conduct customer discovery with enterprise platform admins.
Appfire creates software that empowers teams to break silos and collaborate seamlessly. With over 800 employees working remotely across 28 countries, the company fosters a culture of flexibility and ownership.
Understand how client organisations operate and identify opportunities where AI can create measurable business value.
Lead discovery sessions and solution design activities with business stakeholders.
Configure AI agents, knowledge structures and governance within PIPE44.
SPACE44 deploys PIPE44, an AI operations platform, inside client environments to embed AI into the way they operate. The company builds, operates, and continuously improves AI capability within clients' businesses, owning outcomes and staying long-term.
Own the product roadmap for AI and clinical intelligence capabilities, aligning with clinical outcomes and company strategy.
Partner closely with AI/ML engineers and clinical leadership to scope and ship safe, effective AI features.
Define responsible AI practices and evaluation frameworks for clinical use cases.
Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Founded in 2019, Equip is a fully virtual company with a passionate and diverse team, recognized as one of the most influential companies of 2023.
Design and ship AI agent systems end to end, from experiments to production, owning data access layer and retrieval strategy
Build and own the evaluation framework from scratch, including golden datasets and regression harnesses
Set the technical direction for AI at Kota and raise the bar on engineering practice
Kota is reimagining insurance and retirement benefits for the modern workforce. Founded in 2022, we have raised more than 20M EUR and our team is spread across the world.
Support the execution of Alpaca’s cybersecurity risk management program.
Conduct cyber risk assessments across cloud infrastructure, APIs, trading systems, and internal platforms.
Assist in identifying, documenting, and evaluating AI-related risks such as model risk, data privacy, and bias.
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. The company is backed by $400 million in funding and has a globally distributed team of 400+ members.
Own administration and day-to-day management of enterprise AI platforms including ChatGPT Enterprise and Claude Enterprise.
Develop governance standards for user provisioning, permissions, security policies, and cost optimization.
Serve as technical lead for client AI platform deployments and create reusable implementation playbooks.
Aimpoint Digital is a market-leading data, AI, analytics, and operations research advisory and solution engineering firm. They help organizations design, build, and operationalize enterprise-grade AI platforms with a focus on production deployment and operational discipline.
Lead advanced Product Compliance activities to ensure administrative solutions align with laws and regulations.
Apply expert regulatory judgment to complex compliance inquiries and escalations using AI-enabled tools.
Partner with stakeholders to incorporate compliance requirements into strategic initiatives and operational changes.
HealthEquity is dedicated to saving and improving lives by empowering healthcare consumers through health savings accounts and related solutions. The company is a mid-to-large size organization that fosters a culture of inclusion, innovation, and continuous learning.
Architect and build AI platforms, working across distributed teams to deliver GenAI products like Abacus Agents, MCP, and RAG systems.
Develop ML/AI pipelines for data preprocessing, model training, and evaluation, enabling rapid experimentation and self-healing systems.
Mentor software developers, participate in architectural discussions, and communicate technical direction to align teams and stakeholders.
Abacus Insights transforms healthcare data for health plans to improve outcomes, reduce waste, and enhance member and provider experiences. Backed by $100M from top investors, the company is a collaborative, curiosity-driven team of bold individuals embracing AI and automation to innovate in the healthcare industry.
Define security guardrails and perform risk assessments and red-team exercises for AI technologies.
Collaborate with Security, Architecture, Engineering, and Compliance teams throughout the AI solution lifecycle.
Advise on secure implementation and contribute to AI security awareness initiatives.
Inetum Polska is part of the global Inetum Group, driving digital transformation for businesses and public institutions. With over 28,000 professionals across 19 countries, the company fosters a diverse and inclusive work environment and actively supports employee development.