Sr. AI / ML Engineer
Software Engineering, Data Science
Remote
Posted on Aug 12, 2026
Our client is currently seeking a Sr. AI / ML Engineer
This is not just a management role; it requires a balanced split between leadership responsibilities and hands-on technical contributions, including creating AI agents, developing and harnesses, driving innovation, showcases, and performing code reviews to ensure quality.
Key Responsibilities:
· Lead and manage multiple engineering teams, fostering a collaborative and high-performance culture.
· Develop and implement a comprehensive development strategy aligned with program and portfolio objectives.
· Coordinating closely with program and portfolio leads to ensure alignment of goals, priorities, and delivery timelines.
· Establish, review, and enforce code quality standards and best practices across all teams.
Identify areas for process improvement, resource optimization, and skill development to enhance team capabilities.
· Champion the adoption and integration of AI technologies within the SDLC, including synthetic data generation and AI-driven development tools.
· Hands-on creation of AI agents, skills, and harnesses to support an AI-first approach implementation.
· Hands-on experience working with Large Language Models (LLM) and Generative AI (GenAI) technologies.
· Oversee the use and management of Azure infrastructure, GitHub repositories, and GitHub Actions pipelines.
· Promote and leverage tools such as GitHub Copilot and Factory AI to enhance development efficiency and innovation.
· Drive innovation through showcases and continuous delivery of cutting-edge AI solutions.
· Conduct thorough code reviews to maintain high standards of code quality.
· Mentor and support team members, fostering professional growth and continuous learning.
Qualifications:
· 7+ years of experience managing software engineering teams.
· 5+ year related experience; With MLOps and experienced in development of RAG models
· Proven track record of leading multiple engineering teams successfully.
· Strong software engineering background with hands-on experience in AI technologies.
· Demonstrated expertise in implementing AI-first approaches, including creating AI agents and harnesses.
· Hands-on experience with Large Language Models (LLM) and Generative AI (GenAI).
· Proficiency in Microsoft technology stack, including Azure cloud services and .NET framework.
· Strong programming skills in Python and React.
· Experience with DevOps practices, including GitHub repositories and GitHub Actions pipelines.
· Familiarity with AI-assisted development tools such as GitHub Copilot and Factory AI.
· Excellent leadership, communication, and stakeholder management skills.
· Passion for innovation and continuous learning in emerging AI technologies.
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