AI/ML Engineer, Innovation, Data & Analytics

Jobtailor; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Jobtailor is seeking a Senior Data Scientist/ML Engineer to own orchestration frameworks and design production-grade agent architectures for AI-based workflows in the U.S. You will integrate LLM APIs, ensure data quality with governance, and collaborate across data science and engineering teams.

The role requires deep experience in software/ML engineering, strong communication skills, and the ability to operate in a fast-paced, regulated environment with a focus on cost and reliability.

Qualifications

• Degree in CS/Software Engineering/ML or related field.
• 8+ years with Bachelor's or 7+ years with Master's in software/ML engineering (healthcare/pharma a plus).
• Experience with agentic frameworks such as LangGraph or Pydantic AI and LLM API integration.

Responsibilities

• Own orchestration frameworks and agent architecture for AI-based workflows.
• Build and harden agentic workflows for production use.
• Design prompt architecture and tool/API integrations across agentic systems.
• Translate the Senior Data Scientist's methodology into deployed, production-grade agents.
• Partner with Data Engineer to ensure agents consume clean, well-structured data.
• Partner with Senior Data Analyst to meet governance, audit, and compliance needs.
• Implement monitoring, evaluation, and cost controls for LLM-based systems in production.
• Document agent architecture, prompt design, and tool integrations to support governance and audit needs.
• Identify opportunities to improve workflow reliability, latency, and cost.

Skills

Agentic Frameworks

LLM API Integration

MLOps Practices

Production System Design

Software Engineering

Machine Learning

Effective English Communication

Education

Bachelor's degree in CS/Software/ML or related

Master's degree preferred

Tools

LangGraph

Pydantic AI

Data Governance Tools

Monitoring Tools

Job description

• Own orchestration frameworks and agent architecture for AI-based workflows
• Build and harden agentic workflows for production use
• Design prompt architecture and tool/API integrations across agentic systems
• Translate the Senior Data Scientist's methodology and evaluation criteria into deployed, production-grade agents
• Partner with the Data Engineer to ensure agents consume clean, well-structured data
• Partner with the Senior Data Analyst to ensure agentic workflows meet governance, audit, and compliance requirements
• Implement monitoring, evaluation, and cost controls for LLM-based systems in production
• Document agent architecture, prompt design, and tool integrations to support governance and audit needs
• Identify opportunities to improve workflow reliability, latency, and cost

Requirements

• Degree in Computer Science, Software Engineering, Machine Learning, or a related field
• 8+ years of experience with a Bachelor's degree or 7+ years with a Master's degree in software or ML engineering, notably in the healthcare/pharma sector
• Experience with agentic frameworks such as LangGraph, Pydantic AI, or similar
• Strong software engineering background, including production system design and testing
• Experience integrating LLM APIs
• Exposure to MLOps practices including evaluation, monitoring, and cost control
• Healthcare data experience preferred
• Effective English verbal and written communication
• Ability to operate independently in a fast-paced, regulated environment
• Ability to partner across data science, data engineering, and governance functions
• Ability to drive transformational change
• Ability to engage diverse technical and business stakeholders
• Understanding of technology applications in the Life Science sector
• Candidates must be authorized to be employed in the U.S. by any employer
• Permanent work authorization in the United States required
• U.S. work visa sponsorship is not available now or in the future

Core Competencies

Demonstrates expertise in orchestrating AI-based workflows and agent architecture, with a strong focus on integrating LLM APIs and ensuring compliance in the healthcare sector. Proven ability to collaborate across data science and engineering functions while driving transformational change.

Highest-signal resume keywords

• Agentic Frameworks
• LLM API Integration
• MLOps Practices
• Production System Design
• Healthcare Data Experience

Hard Skills

• Software Engineering
• Machine Learning
• Production System Testing
• Prompt Architecture Design
• Workflow Optimization

Soft Skills

• Effective Communication
• Independent Operation
• Stakeholder Engagement
• Transformational Change Leadership

Industry Keywords

• Healthcare
• Pharma
• Life Science
• Compliance
• Audit Requirements

Tools & Technologies

• LangGraph
• Pydantic AI
• Data Governance Tools
• Monitoring Tools