Solutions Engineer (AI Services)

TaskUs is a provider of outsourced digital services and next-generation customer experience to fast-growing technology companies. As a Solutions Engineer, you will act as the primary technical architect for strategic global enterprise accounts, designing and implementing complex AI engagements and ensuring alignment with AI safety and ethics standards.

Responsibilities:

• Lead the end-to-end technical discovery process to design bespoke AI safety and development engagements, including red teaming, data collection, and expert labeling
• Collaborate with Sales + Service Line Leadership to navigate complex sales cycles within the Global 2000, acting as the technical authority to secure the "technical win."
• Partner with internal Product and Engineering teams to translate client requirements into actionable Statements of Work (SOWs), ensuring operational feasibility and resource alignment
• Consult on advanced LLM workflows, providing expertise on model training, fine-tuning methodologies, and comprehensive evaluation metrics
• Partner with internal teams to architect model configurations that balance performance, safety, and cost, providing precise estimates of inference spend as part of the overall pricing strategy
• Architect robust adversarial testing (red teaming) and guardrail strategies to identify and remediate risks such as bias, toxicity, and prompt injection
• Work closely with Finance and Operations to develop pricing structures for large-scale data and safety projects, balancing competitive positioning with internal margin targets
• Act as the primary technical interface for C-suite and technical stakeholders, delivering high-impact presentations and managing Proof of Concept (POC) success criteria

Requirements:

• Mid-level experience (4 - 7 years) in Data Science or Machine Learning, with a specific focus on the training and evaluation of Large Language Models
• Proven experience supporting large-scale technical sales to global organizations, with a deep understanding of enterprise security, privacy, and procurement standards
• A strong professional interest or background in AI Alignment and Safety
• Ability to move beyond 'off-the-shelf' features to create multi-pillar service offerings that address unique client data and safety needs
• Exceptional ability to bridge the gap between highly technical engineering teams and non-technical business executives
• Strong project management skills with the ability to manage multiple complex workstreams and internal stakeholder interests simultaneously