Technology Analyst (Agentic AI Specialist)

Job Summary

We are seeking a dynamic and innovative Agentic AI Specialist to building AI solutions for the pharma industry.

* Responsibilities:

· Lead the design and implementation of end-to-end agentic AI solutions tailored for specific pharma use cases

· Develop and maintain automation scripts, workflows, and tools using programming languages and AI frameworks, ensuring secure, scalable, and compliant solutions.

· Expertly manage and integrate structured and unstructured data, building and scaling RAG (Retrieval - Augmented Generation) pipelines and knowledge bases to "ground" AI agents with enterprise data.

· Partner with senior stakeholders across the enterprise to identify business needs, translate them into AI opportunities, and manage project delivery.

· Stay abreast of emerging AI technologies and regulatory guidelines (e.g., FDA guidance on AI) to define future AI roadmaps. Evaluates and recommends upcoming industry trends, best practices and cutting-edge tools. Engages in external vendor assessment and provide recommendations.

· Ensure that all implementations meet GxP 21 CFR Part 11, data privacy, and computer system validation (CSV) requirements and adhere to global and local agency regulations, good clinical practices (GCP), ICH guidelines, client SOP’s and functional quality standards.

· Engages with multi-disciplinary experts to influence, elicit, analyze and document business requirements and translate into technology functional requirements. Leverages project management tools and software development methodologies to manage resources, mitigate risk and deliver on commitments.

· Drives change management by conceiving and operationalizing innovation and facilitating adoption across teams. Conducts demos, training sessions, and knowledge transfer activities.

* Qualifications:

· B.S. in computer science, data science, statistics or a related field. M.S. or Ph.D. preferred.

· At least 6 years of proven software development or engineering experience involving complex heterogenous data models using machine learning, Gen AI or Agentic AI frameworks such as LangChain, LlamaIndex, AutoGen, or CrewAI.

· Deep understanding of LLMs (Large Language Models), transformer networks, and generative modeling techniques

· Hands-on experience in programming languages such as C, C++, Objective C, R, Python, SAS or SQL.

· Experience with cloud platforms (AWS, Azure) and database systems (vector databases, SQL) is a plus

· Strong problem-solving, communication, and cross-functional collaboration skills, with the ability to explain complex AI architecture to both technical and non-technical personnel.

· CDISC standards knowledge and familiarity with the regulatory landscape of the pharmaceutical industry (CFR, ICH, GCP, GxP) is a huge plus.

Job Type: Contract

Work Location: Remote