Role: Lead AI/ML Engineer - Automation & Enablement
Location: Phoenix AZAgreeYa is a global Systems Integrator and is seeking an experienced Lead AI/ML Engineer in Phoenix AZ
Overview We are looking for a
Lead AI/ML Engineer who can design, build, and operationalize
AI-driven automation workflows , while also
mentoring and training other engineers. This role combines hands-on delivery with technical leadership across the full SDLC, from design to cloud deployment.
Key Responsibilities - Lead the design and implementation of AI/ML and GenAI-based automation workflows (including NLP, LLMs, and RAG where applicable).
- Own the end-to-end SDLC: requirements, design, development, testing, deployment, monitoring, and production support.
- Architect and deploy solutions on cloud platforms (Azure preferred) with proper CI/CD, security, observability, and scalability.
- Define reference architectures, reusable pipelines, and best practices for AI/ML automation.
- Actively train, mentor, and upskill team members, enabling broader adoption of AI/ML capabilities across delivery teams.
- Collaborate with stakeholders to translate business problems into scalable AI-driven solutions.
Required Skills & Experience - Strong hands-on experience in AI/ML engineering, including model development, deployment, and lifecycle management.
- Experience building automation workflows using AI/ML (e.g., intelligent decisions, predictions, NLP/LLM integration).
- Solid proficiency in Python and/or modern frameworks (FastAPI/Flask), with experience exposing ML capabilities via APIs.
- Experience with monitoring, drift detection, and retraining automation.
- Proven ability to lead technically and train other engineers (not just individual contribution).
Key Competencies:- Leadership and ownership mindset
- Strong analytical and problem-solving skills
- Effective communication and collaboration
- Learning agility and adaptability
Team mentoring and coordination skills
