Job Description
Innovatech Solutions is seeking a visionary AI & Automation Lead to pioneer our technological roadmap for 2026. As a key architect of our digital transformation, you'll design and implement cutting-edge AI systems that redefine industry standards. Join our elite team at the intersection of innovation and execution, where your expertise will shape the future of automation across enterprise operations.
This strategic role demands a blend of technical mastery and business acumen. You'll lead cross-functional initiatives to deploy scalable machine learning solutions, optimize robotic process automation, and drive predictive analytics capabilities. The ideal candidate thrives in fast-paced environments, turning complex challenges into competitive advantages.
Responsibilities
- Architect and implement end-to-end AI/automation frameworks using Python, TensorFlow, and cloud-native technologies
- Lead a team of 5+ engineers in developing predictive models for supply chain optimization and customer experience personalization
- Collaborate with C-suite executives to define AI strategy aligned with 2026 business objectives
- Oversee deployment of RPA solutions reducing operational costs by 30%+ across departments
- Establish governance frameworks for ethical AI deployment and compliance with evolving regulations
- Drive innovation through competitive benchmarking and integration of emerging technologies like quantum computing
- Mentor technical teams while maintaining hands-on involvement in critical system architecture
Qualifications
- 10+ years in AI/ML engineering with 5+ years in leadership roles
- Proven track record deploying enterprise-scale automation systems with measurable ROI
- Expertise in Python, TensorFlow, PyTorch, and AWS/Azure cloud infrastructure
- Master's degree in Computer Science, Data Science, or equivalent experience
- Strong background in statistical modeling and algorithm optimization
- Certification in AI governance frameworks (e.g., IBM AI Governance)
- Demonstrated success managing cross-functional technical teams
- Experience with DevOps practices and CI/CD pipelines for ML systems