Technical AI Project Manager

Yantran LLC

Irvine, CA

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JOB DETAILS

SKILLS

Agile Programming Methodologies, Amazon Web Services (AWS), Artificial Intelligence (AI), Best Practices, Budget Management, Business Analysis, Cloud Computing, Communication Skills, Continuous Improvement, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Science, Delivery Driving, Expense Reports, Expense Tracking, Information/Data Security (InfoSec), Leadership, Machine Learning, Maintain Compliance, Microsoft Windows Azure, Multitasking, Organizational Skills, Privacy Regulations, Problem Solving Skills, Process Improvement, Project Development, Project Lifecycle, Project Management Professional (PMP), Project Planning, Project Tracking, Project/Program Management, Requirements Management, Resource Management, Risk Analysis, Risk Management, Schedule Development, Scrum Project Management and Software Development, Security Compliance, Software Development, Software Development Lifecycle (SDLC), Software Engineering, Status Reports, Strategic Planning, System Integration (SI), Team Lead/Manager, Technical Leadership, Technical Strategy, Time Management

LOCATION

Irvine, CA

POSTED

30+ days ago

Technical AI Project Manager
Irving, CA
Leading AI Initiatives with Technical Expertise and Strategic Vision
Position Overview
The Technical AI Project Manager plays a critical role in driving the successful delivery of Artificial Intelligence (AI) projects. This position bridges the gap between technical AI development teams and business stakeholders, ensuring that AI solutions are delivered on time, within scope, and aligned with organizational objectives. The ideal candidate combines strong project management skills with technical knowledge of AI methodologies, tools, and best practices.
Key Responsibilities
Lead end to end planning, execution, and delivery of AI and machine learning projects, ensuring alignment with business goals and technical feasibility.
Collaborate with cross functional teams including data scientists, software engineers, product managers, and business analysts to define project scope, objectives, and deliverables.
Develop detailed project plans, manage schedules, allocate resources, and monitor progress to ensure timely delivery of project milestones.
Identify potential risks, develop mitigation strategies, and proactively resolve issues that may impact project timelines or quality.
Translate complex technical requirements and AI concepts into clear, actionable tasks for both technical and non technical audiences.
Oversee the implementation of AI models, data pipelines, and system integrations, ensuring adherence to best practices in software development and AI ethics.
Manage project budgets, track expenditures, and report on project status to stakeholders and senior management.
Ensure compliance with data security, privacy regulations, and organizational policies throughout the AI project lifecycle.
Drive continuous improvement by capturing lessons learned and sharing best practices across the organization.
Qualifications
Bachelora €s or Mastera €s degree in a related field
3+ years of experience managing technical projects, preferably in AI, machine learning, or data analytics domains.
Strong understanding of AI/ML concepts, and software development life cycle.
Proven ability to manage multiple projects simultaneously in a fast paced, agile environment.
Excellent organizational, communication, and leadership skills.
Familiarity with cloud platforms (e.g., Azure, AWS, Google Cloud) and MLOps tools is a plus.
Project Management Professional (PMP), Agile, or Scrum certification is desirable.
Key Competencies
Technical acumen in translating requirements for the AI team
Stakeholder management and communication
Problem solving and critical thinking
Risk assessment and mitigation Team leadership and motivation
Some must have skills is
Data pipelines (ETL/ELT, streaming, batch)
Exposure to tools: Spark, Databricks, Snowflake, Kafka (at least conceptual)
AI/ML lifecycle:
Data ingestion → Feature engineering → Model training → Deployment → Monitoring
GenAI basics (LLMs, RAG, fine-tuning, vector DBs)
Perosn should have convert vague engineering problems into:
Data requirements
AI models
Measurable KPIs
PM should know
Data quality frameworks
Security / IP sensitivity (critical in semicon)
Model governance (bias, drift, compliance)
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
***
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About the Company

Yantran LLC

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