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Tier-1 employer, mid-level ML role with broad enterprise AI demands increases competition.
Generative AI and cloud skills are transferable, though healthcare compliance increases domain sensitivity.
Explicit 6+ years plus mandatory Generative AI, cloud, and enterprise integration skills enforce strict filters.
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Lead design, development, and deployment of AI-powered solutions including digital workers and intelligent automation to achieve measurable business outcomes and operational efficiency.
Prototype, validate, and scale emerging AI technologies such as Generative AI, Agentic AI, and automation to drive enterprise transformation.
Partner across business and technical teams to identify use cases, establish AI best practices, governance, and serve as a catalyst for innovation and strategic capability building.
Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or related technical discipline.
6+ years of experience in software engineering, AI/ML, automation, cloud engineering, or digital transformation delivering enterprise-scale solutions.
Hands-on experience with Generative AI, Agentic AI, LLM applications, digital workers, and automation platforms.
Proficiency in Python, APIs, microservices, cloud-native architectures, CI/CD, DevSecOps, and understanding of AI governance, security, privacy, and compliance in regulated environments.
Experienced in leading technical workstreams, mentoring engineers, and influencing adoption of innovative AI technologies at enterprise scale.
Operates effectively at the intersection of AI innovation, software engineering, and business transformation within regulated environments.
Comfortable driving enterprise AI adoption by balancing rapid prototyping with establishing governance and responsible AI practices.