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Strong employer brand, metro location, mid-level AI role and broad skill requirements drive high competition.
AI engineering skills transferable, but regulated pharma experience and Responsible AI increase domain specificity.
Explicit 4+ years, production AI and regulated pharma requirements make shortlisting highly selective.
Lead AI-centric product development from prototype to production, ensuring reliable, scalable, and secure AI solutions.
Own substantial AI delivery workstreams including technical and product decisions and support for junior engineers.
Collaborate with cross-functional product teams and stakeholders to define priorities, frame problems, and deliver measurable business outcomes.
4+ years of relevant experience building AI or software products with demonstrated delivery capability.
Strong programming and software engineering skills, including testing, documentation, APIs, CI/CD, preferably GitHub.
Bachelor's or higher degree in Computer Science, AI, Machine Learning, Data Science, or a related technical field.
Experience operating AI solutions in production including evaluation, monitoring, reliability, and cost-performance trade-offs.
Experienced in end-to-end AI product delivery within cross-functional teams, with a product mindset and stakeholder management skills.
Technical ability to balance AI technology choices including software, predictive models, GenAI, and agentic workflows depending on context.
Familiarity with regulated environments and best practices for Responsible AI, data integrity, validation, and auditability.