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Crowe · 1 day ago

Machine Learning Tech Lead

Plano, TX

Full-time

Hybrid

Senior Level

$126K/yr - $300K/yr

Crowe is a leading public accounting, consulting, and technology firm that values innovation and career growth. They are seeking a Machine Learning Tech Lead to provide solutions architecture and oversee the development lifecycle of AI products, ensuring high-quality, production-ready code while collaborating with stakeholders and guiding team members.

AccountingAdviceConsultingFinanceFinancial ServicesInformation TechnologyProfessional ServicesTax Consulting

No H1B

Responsibilities

Providing solutions architecture and vision for existing solutions, supporting new feature development and testing, and preparing for release of high-quality, deployment-ready code

Translating business problems into AI solution designs, reference architectures, and implementation roadmaps

Architecting the transition of AI projects from Proof of Concept to robust, production-ready solutions that transform business offerings

Conducting lightweight sprint planning and review sessions, prioritizing features and managing project timelines

Writing, reviewing, and ensuring the quality of production-ready code, setting high standards for the team

Seeking deep understanding and taking ownership of the impact technical decision-making has on driving costs for the firm and/or clients

Overseeing 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

Preparing and refining Service Level Agreements (SLAs) and release documentation in preparation for production deployment; collaborating with the Enablement team to create user upskilling materials that support effective use and drive adoption of AI solutions and latest features

Leading ethical reviews and risk/security evaluations to ensure compliance and safeguard solutions

Engaging with business stakeholders and proactively identifying big picture improvements that benefit the client, product, and/or development team

Acting 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

PythonMachine LearningGenAI ExperienceSoftware Development LifecycleCloud ExperienceAI-Assisted Software EngineeringAgile ExperienceKnowledge SharingCuriosity about AIProfessional Services ExperienceCommunication

Required

You're experienced writing scalable, production-level code in Python

You're familiar with Linux/UNIX systems

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

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

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

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

Excellent communication skills, capable of effectively documenting and summarizing technical details for non-technical stakeholders

You're experienced attending Scrum or Kanban meetings; you favor incremental, iterative improvements through regular releases, testing, and monitoring

Preferred

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

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

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

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

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