About Us

Position Name

Lead – Generative AI (GenAI Solutioning & Consulting)

Experience

5–7 years for non-MBA candidates; 3–4 years of relevant experience for MBA candidates with demonstrable GenAI/technology skills.

Location

Bangalore

Shift Timings

General

Key Responsibilities:

- ‘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.
- 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.
- 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.
- 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.
- Ability to innovate, adapt, and work collaboratively with diverse teams.

Competencies

JOB KNOWLEDGECOMMUNICATION SKILLSINTERPERSONAL SKILLS

Key Skills

Primary Skill: Generative AI (GenAI) Secondary Skills: Agentic AI, Python, Retrieval-Augmented Generation (RAG), LangChain, Prompt Engineering, Multi-Agent Orchestration, Tool/Function Calling, LLM Platforms, Solution Architecture, and GenAI Consulting.

Soft Skills

- Excellent communication and presentation skills.
- Robust analytical and problem-solving abilities.
- Customer engagement and stakeholder management.
- Solution-oriented and consultative mindset.
- Creativity, curiosity, and continuous learning.
- Adaptability in a fast-paced environment.
- Cross-functional collaboration and teamwork.
- Accountability and result-oriented execution.

Qualification

A degree in Computer Science or a related technical field. A medical degree, or equivalent experience is preferred.

Relevant experience: 5–7 years for non-MBA candidates or 3–4 years for MBA candidates with demonstrable GenAI/technology expertise.

Certifications

📌 Associate Architect (Bengaluru)
🏢 Wissen Infotech Private
📍 Bengaluru