1:00 PM - 2:00 PM
Senior Product Manager Interview
Sarah Jenkins
The demand for a senior AI engineer continues to surge as companies across the United States race to build smarter, scalable systems. With 500+ open positions available, this remote opportunity offers a chance to work with cutting-edge technology while enjoying the flexibility of working from anywhere in the country. Employers are actively looking to hire a senior AI engineer who can drive innovation and deliver measurable impact.
Successful candidates typically bring deep expertise in machine learning frameworks such as TensorFlow and PyTorch, along with strong programming skills in Python and experience deploying models into production environments. A solid grasp of data pipelines, cloud infrastructure, and MLOps practices is essential, as is the ability to translate complex research into practical, scalable solutions. Strong communication skills and a collaborative mindset are equally valued, since senior engineers often mentor junior team members and align technical strategy with business goals.
Remote work has become the norm for senior ai engineer jobs in the USA, with companies embracing distributed teams to access top-tier talent nationwide. This shift has intensified competition among employers, driving up demand for experienced professionals who can operate independently while maintaining strong cross-functional collaboration. The hiring outlook remains robust, with organizations across fintech, healthcare, and enterprise software actively expanding their AI capabilities.
If you're ready to take the next step in your career, explore the latest senior ai engineer vacancies and discover how your skills can shape the future of artificial intelligence. Global Work AI connects talented professionals with forward-thinking companies seeking exceptional senior ai engineer positions. Take the opportunity to find a role that matches your ambitions and expertise today.

Infosys
Contribute to requirements elicitation and document business requirements. Facilitate software design discussions and document decisions. Participate in coding, conduct code reviews, and maintain code repositories. Implement test strategies, analyze results, and coordinate bug fixes.

Data Systems Analysts, Inc.
Design, build, and deploy AI agents and automation solutions using Microsoft Copilot Studio, Power Automate, and related technologies. Collaborate with stakeholders to identify opportunities for AI and automation, prototype solutions, and integrate AI with enterprise systems.

General Dynamics Information Technology
Develop and enhance AI-driven software solutions for government projects. Deliver new features and improve reliability of core services, addressing system bottlenecks and business logic flaws. Mentor junior developers and communicate technical decisions effectively within the team.

Handshake
Review AI-generated code outputs, evaluating them as if they were peer pull requests. Work through real problems in a familiar codebase, identifying and correcting errors in the AI model's performance.

Defense Unicorns
Design, build, and integrate AI agents and multi-agent workflows using modern LLM and agentic technologies. Develop agent capabilities that interact with enterprise applications, APIs, and data sources.

Mercola
Own the incident queue, risk register, and remediation backlog. Lead technical incident response from triage through recovery validation, coordinating containment and evidence preservation. Strengthen identity, access, and infrastructure controls across Microsoft 365, Entra ID, and AWS.

Versaterm
Lead the design and architecture of scalable software solutions, ensuring security and performance. Take ownership of projects from design to deployment, mentoring associate engineers and guiding them in AI tools.

AJAIA
Lead the design and delivery of AI-enabled systems, making architecture decisions across frontend, backend, APIs, and cloud infrastructure. Own the deployment process, including CI/CD pipelines and security posture. Mentor engineers, review code, and ensure high standards for quality and security.

Just Right Reader
Build AI projects from scoped requirements, making technical decisions on model interactions, error handling, cost, and latency. Implement testing mechanisms to evaluate changes in AI outputs. Conduct regular product work including Next.js development, schema design, and integration tasks.

MiniMed
Develop and deploy AI/ML models and LLM-powered agents from prototype to production in a regulated environment. Integrate models into enterprise systems, ensuring reliability and compliance. Review and quality-gate designs from other engineers, establishing reusable patterns for architecture.

Bjak
Implement agent runtime and orchestration components, build tool-calling and execution interfaces, and support multi-step task execution. Manage task state and execution history, implement error handling and recovery mechanisms, and integrate multiple model providers.

Pathward, N.A.
Research, design, and develop AI and machine learning models to address business challenges. Identify opportunities for AI technology, optimize existing models, and prepare data for training.

EvolutionIQ
Own the delivery of LLM-powered systems in Python and TypeScript, collaborating with product managers and data scientists. Design NLP pipelines, build durable event-driven systems, and ensure privacy and security standards.

TRM Labs
Develop AI-powered agents and automations to streamline workflows for Product, Product Marketing, and Design teams. Collaborate with cross-functional teams throughout the product lifecycle, from discovery to launch.

EvolutionIQ
Design and build LLM-powered agents and workflows, including orchestration, tool use, retrieval, and structured extraction. Develop evaluations with data labelers and subject matter experts, ensuring agents are production-grade with proper guardrails and observability.

Vanta
Build shared SDKs, APIs, and infrastructure for AI features. Integrate durable execution infrastructure for long-running workflows, including checkpointing and retries. Develop evaluation and debugging tools to improve production failures and support accurate AI behavior.

Flyps
Design and develop LLM-powered systems, diagnose and improve AI systems, build evaluations and regression tests, run experiments to compare solutions, and build backend services and API integrations.

Aerospike
Lead the engineering of Operational AI solutions, ensuring technical integrity from architecture to production. Collaborate with customer engineers to define clear architectures and measurable criteria.

Left Field Labs
Design, build, and ship AI-powered features for the illumend platform, including data extraction and validation from insurance documents. Develop LLM pipelines and integrations across Python/FastAPI and React/TypeScript.

Rearc
Design, build, and deploy production-grade AI-driven systems. Develop AI agents and orchestration workflows, implement observability and monitoring, and integrate AI systems into enterprise platforms.

All Cares
Lead the integration of LLM-powered systems into new finance-focused products. Design and implement workflows combining LLM reasoning, structured data, and external tools. Develop machine learning algorithms for app usage forecasting and consumer behavior prediction.

Redhorse Corporation
Lead AI/ML initiatives for Condition-Based Maintenance Plus (CBM+), ensuring alignment with mission outcomes. Architect scalable data pipelines and oversee data workflows. Design and optimize machine learning models for predictive maintenance.

CCC Intelligent Solutions
Own the delivery of LLM-powered systems in Python and TypeScript, collaborating with product managers and data scientists. Design NLP pipelines, build durable event-driven systems, and ensure privacy and security standards.

Givzey
Lead small teams in the design, development, and delivery of AI initiatives. Own technical execution from design through implementation and testing. Translate product requirements into actionable engineering tasks and maintain accountability for delivery commitments.

TriVista Business Group, Inc
Support the development of AI offerings and business development efforts. Advise clients on AI strategy and lead client conversations to connect AI opportunities with business objectives. Design and deliver AI-enabled solutions, ensuring alignment with client needs.

Tri-State Generation and Transmission Association, Inc.
Lead AI engineering initiatives, guiding teams from discovery to production delivery. Collaborate with business leaders to identify AI opportunities and frame solutions. Define technical standards and architectures for AI solutions across cloud and on-premises environments.
1 Arc Power
Develop machine learning models to predict plant performance by integrating physics and ML. Build data pipelines for operations, maintenance, and field data. Package and deploy models in collaboration with Plant Infrastructure, ensuring they run effectively on-site.

Kinetic
Build and operate Kinetic's agent orchestration layer, manage agents with CI/CD, and develop tools for secure access to data. Create evaluation harnesses and rollout gates for testing changes, and mentor engineers on agent design and code. Evaluate AI usage and make decisions on system components.
World Wide Technology Holding
Lead the security engineering efforts for AI/ML systems, including threat modeling, vulnerability remediation, and security tooling. Define and execute enterprise security strategies while assessing AI-specific attack vectors.

Huron
Build and operate production platform capabilities for AI usage, collaborating with the AI Infrastructure Architect. Develop infrastructure as code, deployment automation, and CI/CD templates. Implement telemetry and reporting for model usage and cost management.

Keysight Technologies, Inc.
Define and build the architectural backbone connecting AI reasoning with engineering tools, data, and products. Design orchestration and multi-agent reasoning flows, build backend services, APIs, and integration layers.

Flexera
Design, build, test, deploy, and improve software using AI coding tools. Implement product features, APIs, and integrations while contributing to the software development lifecycle.
OneStream
Oversee the entire lifecycle of AI and software subsystems, including defining requirements, designing systems, and project planning. Lead the design and development of scalable applications, troubleshoot issues across the stack, and conduct code reviews.

Blackbaud
Design, build, test, deploy, and support production AI solutions. Establish reusable engineering patterns, security controls, and operational practices for enterprise AI. Implement AI observability and monitoring, and develop mechanisms for troubleshooting and remediation of agent behavior.

Build AI applications, agents, and workflow automations to solve business problems. Translate business needs into AI-native workflows and technical delivery plans. Prototype and productionize workflows, integrating data, tools, and APIs into end-to-end solutions.

Sedgwick
Own the end-to-end build stream within a pod, including problem shaping, implementation, and production operation. Design and operate production Generative AI agents and workflows, develop full-stack software in Python and React, and manage deployment on AWS using Terraform and GitHub Actions.

Relay (Uneven Labs, Inc.)
Own and improve Relay's internal AI agent, prioritizing tasks by impact and risk. Build knowledge systems for structured and unstructured information, ensuring accuracy and safety. Integrate agents with internal systems through APIs, focusing on permissions and failure recovery.

b.well Connected Health
Build and operate the internal AI developer platform, designing workflows across the SDLC, and maintaining tools for agents. Implement security guardrails, manage token spend, and ensure compliance with sensitive data handling.

Gallagher
Design and build AI agents and automations in Microsoft Copilot Studio and Power Platform. Own the strategy for operationalizing AI agents, including evaluation, testing, and reporting metrics. Collaborate with business users to map workflows and ensure agents fit into existing processes.

Beazley Security, LLC
Collaborate with various teams to identify manual tasks suitable for automation. Design, build, test, and deploy AI agents using Claude and Microsoft Copilot Studio. Establish a backlog of AI projects, estimate costs, and ensure compliance with security and privacy standards.
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