Senior AI Engineer

Senior AI Engineer 1

Your journey at Crowe starts here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

About Crowe Studio

Crowe Studio is a business unit dedicated to helping clients scale smarter, transform faster, and lead in a platform-driven economy. Built for speed and flexibility, Crowe Studio operates outside the constraints of traditional professional services delivery models, giving clients access to cross-disciplinary innovation, embedded AI capabilities, and global delivery resources—all in service of solving complex business challenges in faster, smarter ways.

Through Crowe Studio, the firm provides clients with an innovation partner focused on rapid execution, deep technology integration, and high-impact results. We're building the next generation of business models for professional services, where human expertise and AI are embedded within clients' operations to drive ongoing impact, not just deliver isolated projects.

As a member of Crowe Studio, you will help distinguish Crowe in the market and drive the firm's technology and innovation strategy. The future is powered by AI—come build it with us.

About Forward Deployed Engineering

The Forward Deployed Engineering (FDE) Practice drives AI transformation through embedded consulting and engineering, enabling clients to accelerate delivery, scale solutions, and capture value faster. Our approach helps companies prove AI in their own environments, delivering results in weeks, not months.

We embed our Forward Deployed Engineers side-by-side with client teams to spot opportunities, make AI concepts real, and deploy solutions rapidly. Unlike traditional consulting approaches that rely on documented requirements and lengthy development cycles, FDEs blend engineering, product thinking, workflow design, and business understanding to achieve shared, outcome-driven ownership until measurable results are achieved.

Our engagements range from 2-hour AI Immersion Labs that turn AI noise into real use cases, to multi-week Proof of Value Sprints that prototype and deploy game-changing AI solutions. We help companies de-risk AI adoption while demonstrating solid ROI.

About the Team

• We invest in expertise. You'll have the time, space, and support to go deep on client engagements and build lasting technical and strategic mastery. You'll work with cross-functional teams and client teams as a trusted advisor and domain expert.
• We believe in continuous growth. Our team is committed to professional development and knowledge-sharing.
• We protect balance. Our distributed team culture is grounded in trust and flexibility. We offer unlimited PTO, a flexible remote work policy, and a supportive environment that prioritizes sustainable, long-term performance.

About the Role

Role Overview: The Senior AI Engineer 1 (Senior Staff) leads the development of advanced AI and machine learning systems with a high degree of autonomy. This role partners closely with architects and product stakeholders to design end-to-end AI solutions, optimize model performance, and ensure scalable, cloud-native deployment. The Senior Staff engineer drives technical decision-making, performs in-depth system analysis, and resolves complex engineering challenges across data, model, and infrastructure layers. The role is responsible for producing high-quality, well-architected solutions and setting technical standards that elevate engineering practices across the team. Senior AI Engineer 1 mentors junior engineers, supports cross-team collaboration, and contributes significantly to roadmap planning. This position establishes itself as a strong individual contributor with deep technical expertise in AI engineering and generative AI technologies.

In this role, you will:

• Design and implement complex AI/ML systems, pipelines, and model-serving architectures for enterprise workloads
• Lead development of reusable frameworks, libraries, and tools to accelerate AI engineering across teams
• Analyze large-scale datasets, model telemetry, and inference performance to drive optimization strategies
• Architect distributed training and model evaluation workflows that improve reliability and accuracy
• Collaborate with senior stakeholders to define solution approaches, technical requirements, and feasibility assessments
• Guide junior and mid-level engineers through design reviews, code reviews, and hands-on technical mentorship
• Implement advanced automated testing, including stress testing, bias detection, non-regression testing, and quality evaluations
• Troubleshoot complex pipeline failures, infrastructure errors, and distributed system bottlenecks
• Document architectural decisions, engineering patterns, and best practices to elevate organizational knowledge
• Optimize performance across all stages of model lifecycle, including preprocessing, training, and inference
• Participate in roadmap discussions and provide expert-level technical recommendations for future AI capabilities
• Ensure alignment with security, compliance, data governance, and responsible AI guidelines
• Research new generative AI, machine learning, and cloud technologies to evaluate applicability to enterprise use cases
• Contribute to incident response and operational support for deployed AI systems

Qualifications

• 4–6 years of professional AI/ML engineering or software engineering experience
• Deep proficiency in Python, ML frameworks, and cloud-native engineering
• Strong understanding of distributed systems, data pipelines, and model optimization; ability to lead technical designs and perform advanced debugging
• Advanced hands-on experience with AWS, Azure, or Google Cloud; strong containerization expertise (Docker); production deployment using Kubernetes (EKS/AKS/GKE)
• Proficiency with Terraform and infrastructure automation; deep experience with cloud ML platforms (SageMaker, Vertex AI, Azure ML)
• Hands-on background with GPU/accelerator workflows; building and optimizing distributed training jobs; strong knowledge of observability and monitoring tools
• Expertise with PyTorch and/or TensorFlow; advanced experience fine-tuning transformer architectures using Hugging Face
• Hands-on experience designing RAG systems with vector databases including Pinecone, Weaviate, or FAISS; building GenAI microservices using LangChain or LlamaIndex
• Demonstrated success evaluating and integrating LLM APIs (OpenAI, Azure OpenAI, Gemini); hands-on implementing PEFT and LoRA/QLoRA fine-tuning techniques
• Skilled in designing LLM evaluation suites covering quality, safety, latency, and bias; track record optimizing inference at scale
• Proficiency with low-code platforms including Microsoft Power Platform (Power Apps, Power Automate, AI Builder, Copilot Studio); experience developing APIs and SDKs that enable low-code AI consumption and building agents with multi-step reasoning and tool orchestration
• Effective communication for cross-functional technical alignment; demonstrated ability to work independently and handle complex problems
• Demonstrated ability to own a complete workstream lifecycle with minimal supervision
• Bachelor's degree in Computer Science, Engineering, Data Science, or related technical field; Master's degree or equivalent advanced study preferred
• Travel for this role may be up to 80%, based on client and project needs. Actual travel requirements may vary

Preferred Qualifications

• History of leading technical workstreams, mentoring engineers, or driving complex AI projects through full delivery lifecycle
• 2+ years as a senior individual contributor with full-cycle project delivery and business development contribution
• History of supporting sales pursuits or business development initiatives
• Track record of engaging independently with executive or C-suite stakeholders
• Established record of leading process improvement or innovation initiatives
• Confident presenter adaptable to any audience or format

Minimum Knowledge Expectations

All candidates for Crowe Studio positions are expected to demonstrate baseline AI and technical knowledge, regardless of role or level.

Core Knowledge Areas

All Crowe Studio team members are expected to have working knowledge in the following areas:

• Basic ML/AI literacy (training vs inference, knowledge cutoffs, LLM fundamentals)
• Prompt engineering and instruction hierarchies
• Context window and context management
• Model selection and capabilities
• Fine-tuning vs prompting vs RAG
• Hallucination and grounding strategies