AI/ML & Intelligent Automation Lead

Ladders; United States; Remote; USD 108,000 - 195,000; Full time

Benefits offered by this job

Remote work within US

Frequent collaboration visits to Rest-

Impactful federal health programs

Job summary

Ladders is seeking an AI/ML & Intelligent Automation Lead to advance AI/ML capabilities for federal health programs. This is a remote, United States–based role focusing on production delivery and operational pilots, with emphasis on automated data preparation and model-serving.

You will collaborate with architects on data contracts and cybersecurity on hosting and security of AI services, document models and pipelines, and drive backlogs and demos.

Qualifications

• Bachelor’s degree plus 8–12 years of relevant experience.
• 8+ years in software engineering, data engineering, or applied analytics, including 3 years implementing or integrating AI/ML.
• Experience delivering at least one AI/ML capability into production or an operational pilot, focusing on automated data preparation and model-serving.
• Familiarity with cloud AI/ML services in AWS GovCloud or equivalent government cloud, plus CI/CD and MLOps practices.
• Agile delivery with iterative backlogs; working knowledge of SAFe and Azure DevOps.
• Ability to meet government work-role requirements, including HIPAA compliance and background investigation.
• Knowledge of the MHS/DHA environment, including MHS GENESIS and DoD-VA data exchange.

Responsibilities

• Lead the delivery of AI/ML and automation capabilities into production and operational pilots.
• Build automated data preparation workflows and integrate model-serving or inference APIs, including commercial services.
• Define evaluations and testable acceptance criteria, ensuring capabilities are version-controlled and monitored.
• Collaborate with architects on data contracts and with cybersecurity on hosting and security of AI services.
• Document models, data pipelines, and evaluation results for government sustainability, delivering through iterative backlogs and demos.

Skills

AI/ML delivery

CI/CD

MLOps

Agile delivery

Azure DevOps

HIPAA compliance

Education

Bachelor’s degree in CS/DS/Math/Statistics/Engineering/Health informatics or related field

Job description

For our client, we are seeking a AI/ML & Intelligent Automation Lead to join the team of a leader in the Technical Services space.

Location: Remote

Compensation: $107,900 – $195,050 annually

Responsibilities

• Lead the delivery of AI/ML and automation capabilities into production and operational pilots
• Build automated data preparation workflows and integrate model-serving or inference APIs, including commercial services
• Define evaluations and testable acceptance criteria, ensuring capabilities are version-controlled and monitored
• Collaborate with architects on data contracts and with cybersecurity on hosting and security of AI services
• Document models, data pipelines, and evaluation results for government sustainability, delivering through iterative backlogs and demos

Qualifications

• Bachelor’s degree in computer science, data science, mathematics, statistics, engineering, health informatics, or a related field, plus 8–12 years of relevant experience
• 8+ years in software engineering, data engineering, or applied analytics, including 3 years implementing or integrating AI/ML
• Experience delivering at least one AI/ML capability into production or an operational pilot, with a focus on automated data preparation and model-serving
• Familiarity with cloud AI/ML services in AWS GovCloud or an equivalent government cloud, along with CI/CD and MLOps practices
• Agile delivery experience with iterative backlogs and user feedback, plus working knowledge of SAFe and Azure DevOps
• Ability to meet government work-role requirements, including HIPAA compliance and background investigation
• Knowledge of the MHS/DHA environment, including MHS GENESIS and DoD-VA data exchange

Benefits

• Primarily remote work within the US for highly qualified candidates
• Frequent travel to Reston, VA required for onsite collaboration
• Opportunity to work on impactful federal health programs
• Engagement in a dynamic and evolving AI/ML landscape

Our client is an equal opportunity employer.