Manager, Agentic AI Business Solutions, Neural Nexus
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand and metro location increase competition, but specialized Agentic AI skills limit broad applicant pool.
Skills are transferable across industries but life-sciences commercial experience preferred, yielding medium background sensitivity.
Mandatory hands-on LLM, prompt engineering, model deployment, and technical skills drive high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Execute and scale Agentic AI solutions supporting global commercial and analytics functions, partnering with cross-functional teams.
Develop Agentic AI solutions from requirements gathering, prototyping, testing, deployment through support with a hands-on approach in data, prompt engineering, and agent development.
Coordinate end-to-end platform lifecycle activities including testing, UAT, release, upgrades, and post-launch performance monitoring.
Minimum Requirements
Bachelor’s degree in Data Science, Data Engineering, AI/ML, Analytics, Computer Science, Engineering, or related discipline.
Experience developing and deploying AI/ML or Generative AI solutions, preferably in commercial life sciences.
Hands-on experience with LLMs, prompt engineering, agentic workflows, AI solution prototyping, Python, SQL, and cloud-based data environments.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Strong technical aptitude in Generative AI, model development lifecycles, and platform architecture with practical AI/ML experience.
Ability to translate complex business requirements into scalable AI/ML solutions and communicate effectively across technical and business stakeholders.
Experience working cross-functionally in matrixed environments, balancing technical execution with strategic roadmaps and stakeholder management.