Senior AI Engineer

Senior AI Engineer

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At Crowe, we transform client businesses with AI-enabled solutions, leveraging state‑of‑the‑art technologies and industry expertise to create impactful, AI‑powered services.

Senior AI Engineer I (Senior Staff) leads the design, development, and optimization of advanced AI and machine learning systems with a high degree of autonomy. The role partners closely with architects, product leaders, and engineering teams to deliver end‑to‑end, cloud‑native AI solutions that are scalable, secure, and production‑ready.

• 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.

• 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.

• 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 Sage Maker, 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 Tensor Flow.
• Experience designing and deploying RAG systems using vector databases (e.g., Pinecone, Weaviate, FAISS).
• Experience building GenAI services with frameworks such as Lang Chain or Llama Index.
• 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.

The wage range…