AI Engineer

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio
• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more and conduct technical enablement and configuration sessions across them
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points
• Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs
• Partner with Solutions Architecture, Product, Engineering and Research by surfacing customer feedback, field patterns, and technical blockers and act as a cross functional navigator who keeps teams aligned, informed, and moving toward customer outcomes
• Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement
• Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business
• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

AI Success Engineer – Healthcare, Life Sciences

• Build and ship Android features using Kotlin.
• Create clean mobile flows for insurance, payments, claims, renewals and financial services.
• Work with product and design to simplify complex user journeys.
• Integrate backend APIs and ensure mobile flows are stable, secure and reliable.
• Improve app performance, crash rate, loading states, responsiveness and memory usage.
• Use analytics, user behaviour and production issues to improve the product.
• Build AI-assisted mobile experiences only where they genuinely improve the user journey.

Mobile Application Developer – AI Finance Agent

• Build and ship native iOS features for onboarding, accounts, cards, payments, transfers, rewards and AI-assisted user journeys.
• Make complex financial flows feel clean, fast and simple on mobile.
• Work with product, design, backend and AI engineers to take ideas from rough concept to production release.
• Own app quality across performance, crash rate, loading states, edge cases, responsiveness and release stability.
• Use production feedback, analytics and customer behaviour to improve features after launch.
• Integrate APIs, authentication, secure data handling and financial workflows with strong attention to reliability.

iOS Developer – AI Finance Agent

• Design, build, and own the systems that power Voice AI and Text AI agents
• Craft system-level prompts that shape agent behavior and outcomes
• Develop tool-calling integrations for reliable real-world actions
• Build LLM-as-a-judge evaluations and AI observability
• Partner closely with product and design teams
• Apply industry-standard engineering practices
• Mentor and guide junior engineers

AI Engineer – AI Agents

• AI Implementation - Design, build, and maintain all of our AI systems across the company. Everything from internal marketing, sales, finance, and operations systems to local AI systems in our engineering workflows, and the Chamber itself.
• AI Adoption - Educate, Train, Support, and Uplift everyone in the company with their AI adoption. Running office hours, making tutorials, providing resources, sourcing solutions, and more.
• AI Infrastructure - Architect and operate a scalable set of infrastructure that allows non-technical, and technical teams to use AI in a secure and productive manner.
• AI Systems & Agents - In conjunction with departments, design, build and maintain all AI systems and agents. This includes administering and managing our off the shelf AI systems like Claude, Viktor, Cursor, etc. It also includes our custom built Agents, Skills, Plugins, Tools, and more.
• AI Security - You are responsible for creating, maintaining, and enforcing all data, privacy, and security policies across our AI systems and Agents. Organization, Department, and Role based permissions and settings across all our products.
• Other Projects - As this is a technical role, you will also be asked to help build other internal systems like automations, micro apps, and more.

AI Solutions Lead

• Build high-performance API services and implement complex RAG and Agentic AI architectures.
• Design and implement end-to-end RAG pipelines, including retrievers, vector stores (e.g., Pinecone, Weaviate, or pgvector), and generators.
• Optimize latency and relevance to ensure production-grade performance.
• Develop autonomous or semi-autonomous agents using frameworks such as LangChain, CrewAI, or Semantic Kernel.
• Manage orchestration, tool integration, and robust error handling for non-deterministic AI outputs.
• Assess performance, grounding accuracy, and hallucination detection using evaluation frameworks (e.g., RAGAS, TruLens).

Gen AI Engineer

• Define and maintain enterprise architecture standards, reference patterns, and governance guardrails for AI-enabled solutions moving from pilot to production.
• Establish decision models for build, buy, or integrate choices; model and vendor selection; data access; security; and responsible AI adoption.
• Design scalable architecture patterns for AI-enabled workflows and agentic processes across data, APIs, identity, security, and cloud platforms.
• Test new AI models, LLMs, agent frameworks, and tools to inform enterprise adoption.
• Design proof-of-concepts, define success criteria, and guide solutions from pilot to production.
• Lead architecture reviews and communicate trade-offs, risks, and growth to partners.
• Partner with teams to translate needs into governed, implementation-ready solutions.
• Ensure teams through demos, workshops, and reusable templates to support safe AI adoption.

Principal Architect – Enterprise AI

Machine Learning Engineer

• Own small to medium components of machine learning systems from technical design through implementation and delivery
• Translate technical requirements into high-quality, maintainable code and deliver workstreams according to plan
• Build and maintain data pipelines and feature engineering workflows to support machine learning and AI solutions
• Design, train, evaluate, and refine machine learning models with minimal supervision, applying sound statistical and engineering practices
• Implement ML solutions that can be deployed into production environments as microservices, APIs, batch jobs, or streaming components
• Support production monitoring efforts by helping define and implement metrics for model performance, data drift, anomalies, and retraining triggers
• Collaborate with Data Engineers, Software Engineers, Data Scientists, Product partners, and business stakeholders to deliver project objectives
• Understand system design, data models, and technical artifacts well enough to contribute to implementation decisions and tradeoffs
• Follow governance, documentation, coding, and source control standards consistently
• Demonstrate flexibility and proactively support teammates with day-to-day responsibilities as needed
• Clearly document and communicate work progress, technical decisions, and outcomes to technical and non-technical audiences

• Establishes the architectural patterns, evaluation practices, and deployment standards for the team
• Makes framework and model recommendations that set the foundation for the team
• Collaborates with the AI Enablement Manager and business unit to optimize operational processes, owning the infrastructure architecture and translating strategic direction into technical plans, product life cycles, a prioritized backlog, and buildable work
• Owns solutions end-to-end: technically planning, architecture, build, and deployment, then continuously monitors, iterates, and improves them to keep them reliable in production
• Partners with data governance to ensure solutions meet compliance, data quality, and operational standards
• Builds and continuously maintains the monitoring, evaluation, and regression detection systems that keep production agents reliable over time, including logging, performance benchmarking, and feedback loops that surface drift early.
• Leads the team as it grows, onboarding new team members like AI Product Manager and AI Operations Specialists for intake, sequencing, stakeholder coordination, and product ownership of deployed solutions.

Lead AI Engineer, Business Operations

AI Research Scientist

• Ship applied AI from problem definition through deployed production
• Own one or more high-leverage initiatives per quarter with clear KPI hypotheses and delivery accountability
• Mentor junior scientists and influence technical standards within your initiative scope
• Identify high-leverage AI opportunities using business context, data diagnostics, and technical feasibility
• Design practical AI/ML solutions with clear trade-offs on accuracy, latency, cost, and reliability
• Partner closely with product, engineering, analytics, and operations to align scope, sequencing, and accountability

Senior AI Scientist

• Direct AI enablement across CPX, transitioning from hands-on tactical execution to scalable, department-wide strategic leadership
• Own and maintain a comprehensive catalogue of AI use cases across CPX functions (Professional Services, Customer Success, Support), serving as the critical link to turn team ideas into standard operational workflows
• Define and continuously improve processes for the internal utilization of generative AI, autonomous agents, and machine-assisted development workflows
• Consult with CPX functions—including Professional Services, Customer Success, and Support—to identify, prioritize, and formalize intake workflows for a continuous pipeline of agentic solutions
• Partner directly with Business Technology and InfoSec to ensure secure-by-default practices, compliance, adoption, and lifecycle management of AI tooling
• Own responsibility for managing CPX AI technology spend, monitoring ROI, tracking financial benchmarks, and implementing measurement frameworks to quantify cost metrics against output volume
• Drive the definition of success in highly ambiguous spaces, utilizing a structured 30-60-90 day roadmap to establish empirical baselines, execute controlled pilots, and scale delivery
• Identify and document shadow or undocumented workflows across CPX functions to develop AI-augmented standards that drive successful sub-functional outcomes
• Provide mentorship, technical oversight, and strategic direction to distributed AI Champions and cross-functional project teams without formal administrative people management responsibilities
• Operate as an advanced individual contributor to standardize processes for enablement, deployment, tool assessment, and prototyping AI solutions

AI Operations Lead, CPX

• Build agentic workflows for decision-making in healthcare
• Design and ship AI systems for healthtech
• Raise the technical bar across the organization
• Support and close exceptional founders in health technology

Principal Applied AI Engineer

• Leads the evaluation, deployment, and governance of AI-powered tools and services within PCS, including Anthropic, and Copilot for M365; develops adoption frameworks, monitors usage, and ensures responsible AI use aligned with campus policy.
• Researches, consults, prototypes, and develops new and advanced standards-based technology initiatives and problem resolution across multiple systems
• Designs large components and/or coordinates the running, maintaining, and operating of technical systems and infrastructure
• Integrates, designs, reviews, troubleshoots, monitors, and resolves highly complex, strategically significant, and innovative enterprise-wide supported services, systems, networks, and application problems according to established processes and procedures
• Plans and directs staff implementation of complex enterprise technical projects
• Serves as the main expert point of contact with external stakeholders, leadership, vendors, peer institutions, and IT partners regarding high-level system integrations.
• Identifies needs, provides solution options and strategic direction, and communicates issue updates and resolutions

AI Technical Lead

• Define and Maintain the Wind Engineering AI Governance Framework
• Establish and Enforce Responsible AI Policies
• Oversee Risk Management, Validation, and Auditability
• Govern Cybersecurity, IP Protection, and Data Privacy for AI
• Provide Governance Approval and Oversight for AI Deployments
• Partner with Legal, Security, Privacy, and Compliance Teams

Governance & Responsible AI Leader

• Define product vision and prioritize initiatives across multiple applications
• Oversee requirements for gathering, feature design, and release planning
• Guide product owners and analysts to align deliverables with business outcomes
• Engage with stakeholders at all levels to champion product usability and value
• Coordinate with QA and development managers to ensure on-time delivery

Lead AI Engineer – Capital Project Delivery

• De sign, de velop, and fine-tune a variety of AI models
• Design autonomous agents and multi-step pipelines using LangChain, ReAct, tool-calling, or custom orchestration
• Build Retrieval-Augmented Generation pipelines that combine external knowledge bases with LLMs to improve factual accuracy for warfighting applications
• Implement end-to-end data pipelines, ETL processes, and back-end services (Python, C/C++, Java) that feed data to models
• Create CI/CD pipelines for model training, validation, containerized deployment (Docker/Kubernetes), and security scanning
• Maintain model registries, monitoring, and version control of context protocols
• Produce rapid prototypes, run benchmarks, and conduct robustness/adversarial testing in realistic environments
• Work closely with senior ML engineers, software developers, and government customers; mentor junior staff and contribute to design reviews and documentation
• Stay current with emerging LLM architectures, agentic paradigms, PEFT/LoRA methods, and AI-safety techniques; translate new research into operational capabilities

AI Engineer – Mission Innovation Lab

• Build, validate, deploy, and scale AI/ML models for high-impact manufacturing engineering, research and development applications.
• Lead technical work across a broad set of AI domains, including classical machine learning, deep learning, GenAI, Large Language Models, multimodal AI, agentic AI, World Models, and physics-based AI.
• Translate business and engineering problems into practical AI/ML solution strategies and executable technical plans.
• Serve as a technical authority on model development, deployment architectures, data strategy, evaluation methods, and responsible AI practices.
• Generate new concepts and ideas while conducting research programs that apply the latest AI/ML tools.
• Drive technical assignments in a resourceful and timely manner with minimal supervision.
• Work well with fellow researchers, centers, operational groups, plant personnel and universities.
• Maintain state-of-art technical skills and knowledge.
• Develop working relationships with internal and external subject matter experts.
• Effectively communicate and detail results through internal and external publication.
• Collaborate with global technical teams and lead discussions as an expert in manufacturing AI/ML.

Senior AI/ML Researcher

• Own the enterprise AI Governance architecture roadmap and technical implementation for OneTrust and associated GRC platforms.
• Define and lead enterprise architecture for AI Governance and Cyber GRC workflows.
• Own end-to-end AI governance lifecycle design: intake, classification, risk tiering, review/approval gates, exception handling, monitoring, and periodic reassessment.
• Translate policy and regulatory obligations into technical control patterns and reusable architecture blueprints deployable across UAT and production.
• Design and govern resilient API integrations across OneTrust, Archer, and broader enterprise systems.
• Establish role, group, and organizational segmentation architecture to enforce least-privilege access and scalable governance operations.
• Lead architecture decisions for automation, error handling, observability, incident response, and production support readiness.
• Chair cross-functional architecture reviews and influence risk, compliance, and engineering decision forums on control design and prioritization.
• Mentor engineers and analysts through architecture standards, implementation playbooks, and design quality reviews.

AI GRC Architect

• Own and improve the machine learning models and systems that power the Home feed, including the Shortcuts experience.
• Design, build, and ship personalized recommendations that serve millions of Spotify listeners globally.
• Build content recommendation systems for emerging agentic and AI-powered user experiences.
• Train, fine-tune, evaluate, and optimize large language models using techniques such as supervised fine-tuning (SFT), distillation, and parameter-efficient training approaches.
• Partner closely with product managers, engineers, data scientists, and designers to define and execute experimentation strategies.
• Drive A/B testing, monitoring, model evaluation, and continuous optimization of recommendation quality, reliability, and cost efficiency.
• Improve ML platform capabilities, data pipelines, and production systems that support personalization at Spotify scale.

Machine Learning Engineer jobs in United States

See all jobs on JobTailor

AI Success Engineer – Healthcare, Life Sciences

Mobile Application Developer – AI Finance Agent

iOS Developer – AI Finance Agent

AI Engineer – AI Agents

AI Solutions Lead

Gen AI Engineer

Principal Architect – Enterprise AI

Machine Learning Engineer

Lead AI Engineer, Business Operations

Senior AI Scientist

AI Operations Lead, CPX

Principal Applied AI Engineer

AI Technical Lead

Governance & Responsible AI Leader

Governance & Responsible AI Leader

Lead AI Engineer – Capital Project Delivery

AI Engineer – Mission Innovation Lab

Senior AI/ML Researcher

AI GRC Architect

Senior Machine Learning Engineer, Surfaces Moments