Associate Architect

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

Job Description

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.

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

Competencies

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.
• Strong 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