Crowe · 1 hour ago
Machine Learning Tech Lead
United States
Full-time
Remote
Senior Level
$126K/yr - $300K/yrCrowe is a leading public accounting, consulting, and technology firm dedicated to delivering excellent service through innovation. The Machine Learning Tech Lead will be responsible for providing solutions architecture, supporting feature development, and ensuring high-quality code deployment while engaging with stakeholders to translate business needs into AI solutions.
AccountingAdviceConsultingFinanceFinancial ServicesInformation TechnologyProfessional ServicesTax Consulting
No H1B
Responsibilities
As a Tech Lead in AI Products, your responsibilities will vary across the development lifecycle, and include providing solutions architecture and vision for existing solutions, supporting new feature development and testing, and preparing for release of high-quality, deployment-ready code
AI Product Tech Leads must have strong stakeholder-facing skills to translate business problems into AI solution designs, reference architectures, and implementation roadmaps
AI Product Tech Leads are responsible for architecting the transition of AI projects from Proof of Concept to robust, production-ready solutions that transform our business offerings
Conduct lightweight sprint planning and review sessions, prioritizing features and managing project timelines
Write, review, and ensure the quality of production-ready code, setting high standards for the team
You seek deep understanding and take ownership of the impact your technical decision-making has on driving costs for the firm and/or clients
Oversee the implementation of testing protocols, including smoke tests and unit tests, to maintain high-quality outputs, in collaboration with members of the AI Platform and Infrastructure engineers
Prepare and refine Service Level Agreements (SLAs) and release documentation in preparation for production deployment; collaborate with Enablement team to create user upskilling materials that support effective use and drive adoption of AI solutions and latest features
Lead ethical reviews and risk/security evaluations to ensure compliance and safeguard our solutions
Engage with business stakeholders and proactively identify big picture improvements that benefit the client, product, and/or development team
Act as a career coach, fostering the growth and development of 3+ team members through knowledge-sharing, constructive code review, and by setting the standard for code quality and research best practices
Willingness to travel domestically to meet client needs
Qualification
Required
Programming experience. You're experienced writing scalable, production-level code in Python. You're familiar with Linux/UNIX systems
Machine learning experience. You're proficient in machine learning packages, such as Tensorflow and Pytorch, and have proven expertise in designing/developing AI/ML models. You understand the mechanics of supporting ML solutions in a production environment and can help develop/maintain tests that validate functionality and evaluate model performance
GenAI Experience. Experience designing and implementing AI agents using large language models (LLMs), including prompt engineering, tool use, memory, and multi-agent orchestration patterns. Proficiency with modern AI/ML frameworks, tools, and agent platforms (e.g. MCP, A2A, Microsoft Foundry, OpenAI Agent SDK, Semantic Kernel, LangChain, LlamaIndex, Microsoft Copilot Studio, or equivalent). Knowledge of retrieval-augmented generation (RAG), vector databases, embeddings, and techniques for grounding model outputs in enterprise data
Software Experience. You're familiar with the software development lifecycle, and ideally tenets of MLOps. You have exposure to CI/CD frameworks and tools like Docker and Git. You're experienced deploying code in production environments
AI-Assisted Software Engineering: Demonstrated ability to embrace and advocate for AI-assisted software engineering practices, including the effective use of coding assistants (e.g. Claude Code), automated testing, and design-time AI tools to accelerate solution design, improve quality, and enhance developer productivity
Communication. Excellent communication skills, capable of effectively documenting and summarizing technical details for non-technical stakeholders
Agile experience. You're experienced attending Scrum or Kanban meetings; you favor incremental, iterative improvements through regular releases, testing, and monitoring
Preferred
AI Agent Experience. Familiarity with evaluation, monitoring, and observability of AI agents, including guardrails, hallucination mitigation, and human-in-the-loop designs. Ability to translate business requirements into agent behaviors, decision logic, and measurable performance outcomes. Proven ability to design end-to-end AI architectures that integrate agents with enterprise systems (ERP, CRM, data platforms, APIs) using scalable, secure integration patterns
Cloud Experience: Experience designing and deploying AI/ML solutions on major cloud platforms (AWS, Azure, and/or GCP), including the use of managed AI services, cloud-native integration patterns, scalable data architectures, and secure, enterprise-grade deployments
Knowledge sharing. You enjoy sharing what you learn, whether by offering cross-training opportunities, giving internal team “lightning talks,” or by writing detailed comments on tickets when you close them
Curiosity about AI and machine learning. You want to stay fresh in AI and machine learning. You demonstrate curiosity and continuous learning mindset in Generative AI and applied machine learning, with an interest in staying current on emerging models, architectures, and techniques, including engaging with original research, technical papers, and pre-release concepts before they are broadly commercialized
Professional Services experience. You're familiar with the landscape of a professional services firm and interested in engaging with the unique value proposition of products associated with a diverse range of services, from advising and consulting to tax and public accounting
Benefits
Unlimited PTO
Flexible work-from-home policy
Company
Crowe
Crowe LLP is a public accounting, consulting, and technology firm.
Founded in 1942
5001-10000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2023-08-29Acquired
Leadership Team
James L. Powers
CEO
Joy Mikolajczak Duce
Managing Principal/Partner - Human Capital Consulting
Recent News
2026-01-16
Canada NewsWire
2026-01-02
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