About the Role

The AI Solutions Manager supports the design and delivery of AI/ML, Computer Vision, and Autonomous Systems data programs. The role focuses on solutioning, workflow design support, client communication, and performance management for assigned programs.

This position serves as a technical and operational liaison between clients and internal delivery teams, ensuring quality, efficiency, and continuous improvement.

• Support client discovery sessions to understand dataset needs, workflow rules, and ML goals.
  

• Translate client requirements into operational workflows, guidelines, and quality frameworks.
  

• Provide clients with delivery updates, performance insights, and workflow recommendations.
  

• Participate in solution scoping discussions
  

• Identify operational improvements or small-scale expansion opportunities within current programs.
  

• Oversee day-to-day execution of assigned AI/ML/CV/AV/ADAS workflows.
  

• Ensure SLAs/KPIs for accuracy, throughput, quality, and timelines are met.
  

• Manage onboarding, calibrations, updates to guidelines and workflow transitions.
  

• Work with Delivery Leads to ensure staffing, training support, and production readiness.
  

• Maintain documentation and workflow consistency across teams.
  

• Build dashboards and reports to track accuracy, IAA, error trends, productivity, and latency.
  

• Conduct RCA for quality issues and collaborate with QA & Training to implement fixes.
  

• Provide actionable insights that improve data output and overall model inputs.
  

• Communicate analytics to clients and internal technical stakeholders.
  

• Support pilot setup, workflow testing, and guideline refinement.
  

• Ensure teams follow updated instructions, schemas, and ontology changes
  

• Recommend workflow optimizations based on data trends and team feedback.
  

• Promote automation opportunities such as pre-labeling, AI-assisted tools, and QC automation.
  

• Improve sampling methods, audit frameworks, and annotation consistency.
  

• Provide technical inputs for proposals, pricing models, and SOW components.
  

• Participate in RFI/RFP responses by providing workflow or technical details.
  

• Support Business Development with demos and clarifications during client evaluations.
  

• Strong understanding of annotation workflows for 2D/3D CV, NLP, LiDAR/RADAR, AV/ADAS datasets.
  

• Understanding of how data quality impacts ML model performance.
  

• Tools & Workflow Design
  

• Experience with platforms like Label box, Super Annotate, Scale, CVAT.
  

• Ability to create guidelines, workflows, taxonomies, and quality processes.
  

• Strong Excel skills; SQL/Python familiarity preferred.
  

• Experience with PowerBI/Tableau/Looker for reporting.
  

• Ability to interpret ML metrics and connect them to data quality outputs.
  

• Strong communication, technical storytelling, and stakeholder management abilities.
  

• Experience managing escalations and coaching delivery teams.
  

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data/AI, or related field.
  

• 5 years of hands on experience in AI/ML operations, technical solutioning, or program delivery.
  

• Experience with annotation workflows, AV/ADAS, robotics, or computer vision preferred.
  

• Experience working within KPI-driven technical environments.