Talantix.io
Lantern•05.03.26
AI SCORE 8.5

Director of AI Engineering - Remote

$180K–$250K/year
RemoteAI Engineering
AI•Machine Learning•MLOps•Cloud Computing•Azure•Data Governance•Python•.NET•C

About the Role

We are seeking a talented and experienced Director of AI Engineering - Remote to lead our innovative AI initiatives. In this role, you will oversee the development and implementation of cutting-edge AI solutions that drive our business forward. As a Director of AI Engineering, you will work closely with cross-functional teams to ensure the successful delivery of AI projects that enhance our product offerings and improve client success.

What You'll Do

  • Lead the AI engineering team in designing and implementing AI solutions, focusing on large language models and generative AI technologies.
  • Collaborate with product management and engineering teams to define project scopes, timelines, and deliverables.
  • Drive the adoption of best practices in AI engineering, including data governance and MLOps.
  • Manage relationships with key stakeholders, ensuring alignment on AI initiatives and client success strategies.
  • Oversee the development of data pipelines and architecture to support AI applications.
  • Mentor and guide team members, fostering a culture of innovation and continuous improvement.
  • Stay abreast of industry trends and emerging technologies to maintain a competitive edge.
  • Contribute to strategic planning and execution of AI projects that align with business goals.

Requirements

  • Proven experience as a Director of AI Engineering or similar leadership role in AI and machine learning.
  • Strong understanding of AI technologies, including large language models, generative AI, and cloud computing (preferably Azure).
  • Experience in software engineering, data architecture, and data governance.
  • Excellent leadership and people management skills, with a track record of building high-performing teams.
  • Strong analytical and problem-solving skills.
  • Experience in client-facing roles and account management.
  • Familiarity with Agile methodologies and software development best practices.
  • Master's degree in Computer Science, Engineering, or a related field is preferred.

Nice to Have

  • Experience in healthcare technology or related industries.
  • Familiarity with .NET and C# programming languages.
  • Knowledge of revenue cycle management and claims processing.

What We Offer

  • Competitive salary ranging from $180,000 to $250,000 per year.
  • Comprehensive medical, dental, and vision insurance.
  • 401(k) plan with company match.
  • Paid time off and paid parental leave.
  • Opportunities for professional development and growth.
  • Flexible remote work environment.
  • Supportive company culture focused on innovation and teamwork.
Why This Job8.5 of 10

This role offers a unique opportunity to lead AI engineering initiatives in a fully remote environment, with a competitive salary and comprehensive benefits.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proven expertise in AI and Machine Learning frameworks such as TensorFlow or PyTorch, with a strong background in deploying MLOps practices using Azure Machine Learning for scalable solutions.

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Demonstrated experience in managing remote teams effectively, fostering a culture of collaboration and accountability while utilizing tools like Jira and Slack for project management and communication.

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Strategic mindset with a solid understanding of data governance principles, ensuring compliance and ethical considerations in AI projects, while being adept in programming languages such as Python, .NET, and C.

Learning Resources

→MLOps: Machine Learning Operationscourse
→Azure Machine Learning documentationguide
→Understanding Data Governance in AIarticle

Career Path

Director of AI Engineering - Remote(Now)→VP of AI & Data Science(2-4 years)→Chief Technology Officer (CTO)(5-7 years)

Market Overview

Market Size 2024
$126B
Annual Growth
38.7%
AI Adoption
75%
Investment
+150%
Labour Demand
+40%
Avg Salary
$180K

Skills & Requirements

Required
AIMachine LearningMLOps
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Engineering
Declining
R ProgrammingTraditional Data Warehousing

Domain Trends

Increased Automation in AI Operations
With over 70% of enterprises adopting MLOps frameworks, companies are increasingly automating AI model deployment and monitoring to improve efficiency.
Cloud-Based AI Solutions
The shift to cloud computing for AI workloads is evident, with 65% of companies preferring cloud platforms like Azure for their AI projects, enhancing scalability and flexibility.
Focus on Ethical AI and Data Governance
As AI usage expands, 80% of organizations are prioritizing ethical AI practices and robust data governance frameworks to address regulatory compliance and public trust.

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