Manager - AI Engineer

Andersen Tax • Chicago, IL

251d • $195,875 - $266,171

About The Position

Andersen Consulting offers a seamless, multidimensional approach that combines expertise in business transformation, artificial intelligence, cybersecurity, sustainability, and digital strategy with Andersen Global's established tax and legal capabilities. This integration of emerging technologies positions Andersen Consulting as the partner of choice in the $1 trillion consulting industry. We're looking for an AI Engineer to build pipelines to prepare data for machine learning and GenAI workloads on Palantir's Foundry and AIP platforms. AI engineers at Andersen Consulting interact with client technical teams, internal engagement leaders, and internal product managers to understand client requirements. Their core responsibility is implementing modern machine learning operations (MLOps) and large language operations (LLMOps) systems to support enterprise-scale GenAI workloads. These systems are usually built on Palantir's Foundry and AIP platforms. You'll work within the new Andersen Consulting Global AI practice which is accountable for delivering value to clients through machine learning and GenAI. The team does this by using modern techniques, tooling, and behaviors to deliver value as quickly as possible. Since the AI landscape is moving fast, you'll be asked to learn new things quickly and accomplish a wide range of tasks, all focused on delivering enterprise-scale MLOps, LLMOps, and GenAI workloads to clients with exceptional quality using the Foundry and AIP platforms.

Requirements

• Engineering mindset, focused on delivering production solutions with GenAI, data processing pipelines, and advanced analytics tools
• A technical background in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Machine Learning
• Past experience building solutions with LLMs and a deep understanding of the overall GenAI landscape
• Strong coding experience writing high-quality Python code with expert level knowledge of scientific computing libraries (e.g. PyTorch, NumPy, Polars, etc)
• Professional experience working within teams to collectively build and deploy high quality code using tools like Git and Slack

Nice To Haves

• Ability to context-switch and provide support to dispersed teams needing an 'expert hacker' to unblock challenging technical obstacles
• An engineering mindset, willing to make rapid, pragmatic decisions to improve performance, accelerate progress or magnify impact
• Exposure to modern tools in the GenAI ecosystem (e.g., vector databases, feature stores, prompt engineering platforms, LLM orchestration libraries, model-serving frameworks, AI observability tools)

Responsibilities

• Deliver MLOps, LLMOps, and GenAI workloads with exceptional quality and be ready to be held to that standard
• Work directly with client technical teams to explore source data and help define technical requirements
• Work closely with internal product teams to implement feature engineering as required
• Recommend, justify, and implement changes to client infrastructure as required
• Define and set the standard for disciplined AI engineering, including LLM guardrails, model interpretability, LLM governance, automated testing for ML pipelines, and continuous monitoring of model performance
• Communicate closely with users and product managers to prioritize and implement new features on behalf of the client

Benefits

• Competitive base compensation
• Discretionary employee bonus program based on individual and firm performance metrics
• Medical, dental, vision, and basic life insurance coverage for employees and their families
• 401(k) plan enrollment upon hire
• Paid time off starting at 160 hours annually
• Twelve paid holidays throughout the calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree