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.

1. 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.

1. 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.

1. 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 KNOWLEDGE COMMUNICATION SKILLS INTERPERSONAL 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. 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