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Senior AI Engineering Consultant (Closed)

Date Posted: Jun 27, 2025

Job #1681668
Contract
Austin, Texas, United States

Job Title: Interim to Hire Lead AI Engineer

Position Overview:

We are seeking a highly skilled and motivated Lead AI Engineer to join our team on an interim to hire basis. This role is ideal for a hands-on technical leader who thrives in a fast-paced environment and is passionate about building scalable AI solutions. You will be responsible for driving the development of AI capabilities, mentoring a team of engineers, and delivering impactful solutions across the enterprise.

Key Responsibilities:

  • Lead the design, development, and deployment of AI/ML solutions across enterprise platforms.
  • Collaborate with cross-functional teams to identify opportunities for AI enablement and deliver high-impact solutions.
  • Guide and mentor a team of AI engineers, ensuring best practices in model development, deployment, and monitoring.
  • Build and maintain tools and platforms that support AI workflows, including data pipelines, model training, and inference systems.
  • Ensure the scalability, reliability, and security of AI systems in production environments.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Must Haves:

  • Proven experience in AI/ML engineering, with a strong foundation in data science and model deployment.
  • Hands-on expertise with cloud-based AI tools, particularly within Azure and Power Platform.
  • Experience leading technical teams and driving deliverables in a collaborative environment.
  • Strong communication and presentation skills; able to work independently and transparently.
  • Comfortable working in a hybrid engineering/leadership role (approximately 70-80% hands-on, 20-30% leadership).

Preferred Qualifications:

  • Experience with tools such as Enterprise Chat GPT, Microsoft Copilot, and React-based front ends.
  • Background in spinning up AI platforms or internal tooling to support ML workflows.
  • Familiarity with MLOps practices and scalable deployment strategies.
  • Prior collaboration with consulting or systems integration partners  is a plus.

Location: Remote in CT or ET

Employment Type: Interim to Hire