Crowe · 1 day ago
Senior AI Engineer
San Francisco, CA
Full-time
Hybrid
Senior Level, Lead/Staff
$74K/yr - $148K/yr
4+ years expCrowe is one of the largest public accounting, consulting and technology firms in the United States, and they are seeking a Senior AI Engineer to lead the design, development, and optimization of advanced AI and machine learning systems. The role involves partnering with architects and product leaders to deliver scalable, secure AI solutions while providing hands-on technical leadership and mentoring to other engineers.
AccountingAdviceConsultingFinanceFinancial ServicesInformation TechnologyProfessional ServicesTax Consulting
No H1B
Responsibilities
Designing and implementing complex AI/ML systems, pipelines, and model-serving architectures for enterprise workloads
Developing reusable frameworks, libraries, and tools to accelerate AI engineering across teams
Analyzing large-scale datasets, model telemetry, and inference performance to drive optimization strategies
Architecting distributed training, evaluation, and experimentation workflows to improve model reliability and accuracy
Collaborating with senior stakeholders to define technical requirements, solution approaches, and feasibility assessments
Providing hands-on technical leadership through design reviews, code reviews, and mentorship of junior and mid-level engineers
Implementing advanced automated testing, including stress testing, bias detection, non-regression testing, and quality validation
Troubleshooting complex pipeline failures, infrastructure issues, and distributed system bottlenecks
Optimizing performance across the full model lifecycle, including data preprocessing, training, and inference
Documenting architectural decisions, engineering patterns, and best practices to strengthen organizational knowledge
Contributing expert-level recommendations to AI roadmap planning and future capability development
Participating in incident response and operational support for deployed AI systems
Researching and evaluating emerging AI, generative AI, and cloud technologies for enterprise applicability
Qualification
Required
4+ years of professional experience in AI/ML engineering or software engineering
Demonstrated experience leading technical efforts or mentoring engineers
Deep proficiency in Python, modern ML frameworks, and cloud-native engineering practices
Strong understanding of distributed systems, data pipelines, and model optimization techniques
Proven ability to lead technical designs and perform advanced debugging across complex systems
Effective communication skills for cross-functional technical alignment
Willingness to travel occasionally for cross-functional planning and collaboration
Preferred
Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent experience
Master's degree or equivalent advanced study in a relevant technical discipline
Cloud and AI certifications, including Azure (AZ-900, AI-900, AI-102, GH-900, DP/AB series) or equivalent AWS/GCP certifications
Databricks Generative AI Associate certification
Advanced hands-on experience with AWS, Azure, or Google Cloud
Strong experience with containerization (Docker), Kubernetes (EKS, AKS, GKE), and infrastructure automation (Terraform)
Experience with cloud ML platforms such as SageMaker, Vertex AI, or Azure ML
Hands-on experience with GPU and accelerator-based workloads and distributed training jobs
Strong knowledge of observability, monitoring, and performance tuning for AI systems
Advanced generative AI expertise, including fine-tuning transformer models using PyTorch and/or TensorFlow
Experience designing and deploying RAG systems using vector databases (e.g., Pinecone, Weaviate, FAISS)
Experience building GenAI services with frameworks such as LangChain or LlamaIndex
Experience integrating and evaluating LLM APIs (e.g., OpenAI, Azure OpenAI, Gemini)
Familiarity with parameter-efficient fine-tuning techniques (PEFT, LoRA, QLoRA)
Experience designing evaluation frameworks for LLM quality, safety, bias, latency, and scalability
Demonstrated ability to work independently and solve complex, ambiguous problems
Benefits
Unlimited PTO
Flexible remote work policy
Company
Crowe
Crowe LLP is a public accounting, consulting, and technology firm.
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
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