GenAI Lead
Posted Updated
Summary
Leads design and delivery of generative AI solutions (agentic workflows, RAG pipelines, prompt engineering) for pharmaceutical and healthcare clients, acting as the bridge between customers and engineering teams with end-to-end solution accountability. Core tech: GenAI/LLMs, RAG, prompt engineering, databases.
Key Responsibilities:
1. Voice of the client
- Collaborate with customers and stakeholders to deeply understand specific business challenges and requirements across pharmaceutical and healthcare domains.
• Architect GenAI solutions for client needs and business problems.
- Act as a bridge between customers, internal teams, and engineers, ensuring solutions align with business goals and user needs.
2. Generative AI Strategy
- Develop and implement cutting-edge GenAI strategies such as agentic workflows, RAG pipelines, tool/ function calling, etc. tailored to pharmaceutical and healthcare use cases.
- Be an expert prompt engineering crafting the core logic and design of the technology solution, leveraging domain expertise related to R&D processes in life sciences.
- Stay ahead of the curve by continuously exploring latest advancements in GenAI.
3. Technology Development & Cross-Functional Collaboration
- Work closely with engineering teams to design and build robust GenAI solutions, ensuring technical feasibility and alignment with business objectives.
- Partner with UX teams to deliver desired user experience to clients.
- Take end to end accountability of delivering the technology solution to clients.
4. Start-Up Culture & Innovation mindset
- Thrive in an agile, high-performing team environment with a start-up mindset focused on speed, creativity, and adaptability.
- Embrace a diverse role where responsibilities span advanced prompt engineering, solution design, go-to-market efforts and continuous learning to push boundaries in GenAI applications.
Preferred Candidate Profile:
- A fast learner with tech bent of mind’, curiosity about GenAI, and an interest in the pharmaceutical/medical domain.
- A generalist mindset with a passion for developing domain-specific technology solutions.
- Strong collaborative and communication skills, with a flair for solution design and prompt engineering.
- Comfortable working in an ever-evolving environment with high expectations and a strong focus on results.
Qualifications:
- Educational Background:
- CS graduate degree, medical degree, or equivalent experience preferred.
- For MBA candidates: 3–4 years of relevant experience with demonstrable skills in GenAI/technology.
- For non-MBA candidates: 5–7 years of relevant experience.
Experience &Skills:
- Advanced skills in GenAI prompting and problem-solving.
- Understanding of LLM platforms, RAG pipelines, and databases is a plus.
- Familiarity with pharmaceutical/medical processes and documentation preferred.