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About the Role:
We are seeking an experienced dynamic Engineering Lead to oversee and guide multiple software engineering teams within the AI Ready Data portfolio under Applied Innovation. This leadership role requires a strategic thinker with a strong technical background, particularly in AI integration within the software development lifecycle (SDLC), and a passion for driving innovative solutions.
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.
Coordinate closely with program and portfolio leads to ensure alignment of goals, priorities, and delivery timelines.
Establish, review, and enforce code quAAality 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.A

Qualifications:

7+ years of experience managing software engineering teams.
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.
Enable Skills-Based Hiring No

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: saicon
Position Id: 26-75237
Posted 8 hours ago

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