New opportunity

AI Prompt Engineer (Commercial) - India

Flex and Oncology Clinical Research Private Limited · Trivandrum, India

About this role

The AI Prompt Engineer, Commercial helps the Commercial organization get reliable, high-quality results from Claude, GenieOne, and Microsoft Copilot across deal support, pricing, proposals, and client-facing materials. You design and refine the multi-step prompts behind real commercial workflows, build a reusable library of Claude, GenieOne, and Copilot SKILLS that other teams can adopt, and create the custom instructions and templates that help non-technical commercial staff use these tools well.

Responsibilities

Develop and refine complex, multi-step prompts for Claude, GenieOne, and Microsoft Copilot for core commercial workflows, including proposal and request-for-proposal response development, pricing and bid support, and client-facing materials.
Build and maintain a reusable SKILLS library for Claude, GenieOne, and Copilot covering recurring commercial tasks such as proposal first drafts, request-for-proposal response assembly, and account briefs.
Design custom instructions and user-level templates for Claude, GenieOne, and Copilot end users across Commercial, so non-technical staff produce consistent, on-brand, client-ready output without expert prompting.
Create prompt patterns for client-facing deliverables such as capability summaries, bid defense materials, and account or sponsor briefings.
Translate CRM and pipeline context into prompt and template inputs, working from governed extracts and approved content rather than connecting systems yourself.
Run enablement for Commercial, including office hours, a prompt and recipe library, short guides, and onboarding.
Establish quality checks and review steps for AI-assisted commercial outputs, and document what each SKILL or template must not do.
Hold the confidential-data and commitment line, keeping client-confidential and pricing data out of unapproved tools.

Required qualifications

2+ years of strong fluency in prompt construction for large language model assistants, including multi-step and structured prompts, with hands-on experience using Claude, GenieOne, and Microsoft Copilot.
Experience building or curating a prompt or SKILLS library for a team or function.
A solid working knowledge of commercial processes, including proposals and request-for-proposal responses, pricing and bid support, business development, and the sales funnel and pipeline.
Demonstrated ability to design reusable assets, including SKILLS, templates, and custom instructions.
Comfort working with CRM and sales context such as Salesforce and content libraries such as SharePoint.
Excellent writing and the ability to produce client-ready, on-brand business content and concise guidance for non-technical users.
A careful, governance-minded approach suited to a regulated, client-facing environment.

For full details about this role, click “Apply on company site” to view the employer’s original posting.

Skills for this role

ClaudeGenieOneMicrosoft CopilotPrompt EngineeringSalesforceMicrosoft 365SharePointProposal Development

Checking your profile…

Preparation suggestions, not the employer’s actual interview questions. Always check the original posting for current requirements.

Understand the role

What matters most

Develop Complex Multi-Step Commercial Prompts
Design and refine structured, multi-step prompts for Claude, GenieOne, and Microsoft Copilot specifically tailored to core commercial workflows like proposal responses, request-for-proposal (RFP) development, and pricing support.
Build and Maintain a Reusable Skills Library
Create, package, and curate a shared library of prompt patterns, reusable SKILLS, and user-level templates covering recurring tasks such as proposal first drafts and account briefs so that other internal teams can adopt them.
Drive Commercial Enablement and Training
Run internal enablement sessions, office hours, and onboarding for non-technical commercial staff, providing short guides and recipes to ensure business development and pricing teams successfully adopt the tools in daily work.
Enforce Governance and Data Security Boundaries
Establish strict quality checks, document guardrails on what templates must not do, and hold the confidential-data line to keep client-confidential and pricing information out of unapproved tools.

Likely challenges to think through

Bridging Non-Technical Staff With Advanced AI Capabilities
Commercial team members may lack technical prompt engineering background, risking inconsistent or off-brand outputs. Prepare by focusing on user-level template design, clear guidance, and hands-on enablement strategies.
Balancing Output Efficiency with Strict Data Governance
Translating CRM and pipeline data from tools like Salesforce into effective prompt inputs requires maintaining tight confidentiality without direct system integrations. Prepare by establishing rigorous review steps and human-in-the-loop approval workflows.

Practice your answers

Technical practice

Designing Multi-Step Prompts for Commercial Workflows

What to coverDiscuss how you structure multi-step prompts for complex documents like request-for-proposal (RFP) responses. Candidates should explain how they break down large tasks into sequential phases, maintain context across steps, and validate intermediate outputs before generating the final client-ready deliverable in tools like Claude or Microsoft Copilot.

Curating and Maintaining a Reusable Skills Library

What to coverExplain your approach to building, packaging, and maintaining a shared prompt and skills library for non-technical teams. Focus on how you categorize prompts, document what templates must not do, and keep them updated as underlying commercial workflows evolve.

Translating CRM Context into Effective Prompt Inputs

What to coverDescribe how you take governed extracts from CRM tools like Salesforce and translate them into clean prompt inputs without directly connecting systems. Address data sanitization, formatting structured text, and ensuring relevant pipeline context informs account briefs.

Enforcing Governance and Confidentiality in AI Workflows

What to coverExplain how you handle data governance, client confidentiality, and pricing data security when utilizing AI assistants. Candidates should discuss establishing review steps, setting clear guardrails on unapproved tools, and ensuring human-in-the-loop validation for client-facing outputs.

Creating User-Level Templates for Non-Technical Staff

What to coverDiscuss strategies for designing custom instructions and user-level templates so that non-technical commercial staff can produce consistent, on-brand outputs. Highlight the importance of simplifying complex prompts into intuitive recipes or guides.

Running Enablement and Training for Business Functions

What to coverDescribe how you design and deliver enablement sessions, office hours, and onboarding for commercial teams to drive tool adoption. Focus on how you measure turnaround time, gather user feedback, and retire low-value prompts.

Managing Output Quality in Regulated Industries

What to coverExplain how you establish quality checks and review mechanisms for AI-assisted commercial content within regulated environments like life sciences or CROs. Emphasize balancing efficiency gains with rigorous compliance and risk mitigation.

Leveraging Microsoft Copilot and Claude for Proposal Development

What to coverCompare the distinct strengths and limitations of tools like Claude, GenieOne, and Microsoft Copilot in drafting proposal first drafts and account briefs. Discuss how you tailor your prompt engineering strategy to each platform's specific strengths.

Behavioural practice

Enabling Non-Technical Teams on New AI Tools

What to coverDescribe a situation where you trained or enabled non-technical staff to adopt a new technology or workflow. Use the STAR method to explain how you addressed initial resistance, structured your guidance, and measured successful adoption.

Handling Conflicting Requirements in Commercial Deliverables

What to coverShare an experience where you had to balance competing stakeholder requirements while developing business content or proposals under tight deadlines. Detail how you prioritized tasks, managed expectations, and delivered an on-brand result using the STAR framework.

Establishing Guardrails and Managing Data Governance Risks

What to coverProvide an example of a time when you identified a compliance, data security, or quality risk in a workflow or asset. Explain how you implemented guardrails, communicated boundaries to team members, and ensured proper human review using STAR.

Iterating Based on User Feedback and Retiring Ineffective Assets

What to coverRecall a scenario where initial prompt templates or reusable assets did not meet user expectations or business needs. Explain using STAR how you gathered user feedback, evaluated turnaround times, and restructured the assets to add real value.

Sharpen your knowledge

Topics to prepare

Commercial Workflow and Proposal Processes
Understand how request-for-proposal (RFP) responses, pricing support, and business development funnels come together in a CRO or regulated industry environment. Relevance: The role centers entirely on supporting commercial teams with AI tools for deal support and proposal drafting.
AI Governance, Data Privacy, and Compliance
Study guidelines around handling confidential client information, pricing data boundaries, and human-in-the-loop review steps. Relevance: The posting explicitly requires holding the confidential-data and commitment line, ensuring client data stays out of unapproved tools.
Prompt Engineering and Library Curation Principles
Review methodologies for designing multi-step, structured prompts and organizing reusable instruction libraries for LLM assistants. Relevance: A core duty is building and maintaining a reusable SKILLS library for Claude, GenieOne, and Microsoft Copilot.

Skills to revise

Multi-Step Prompt Construction
Practice drafting, testing, and refining complex structured prompts for LLMs like Claude and Microsoft Copilot. Relevance: Direct requirement for 2+ years of fluency in prompt construction for AI assistants in real work.
Reusable Template and Instruction Design
Create user-level custom instructions and templates that enable non-technical staff to generate consistent, on-brand business content. Relevance: Required to help commercial teams produce client-ready outputs without expert prompting.
Enablement and Training Delivery
Design short guides, office hours structure, and onboarding materials for business functions. Relevance: The role involves running enablement for Commercial so business development and pricing teams adopt the tools effectively.

Your preparation checklist

Build a Sample Multi-Step Prompt Portfolio
Create and document 3 to 5 complex, multi-step prompts designed for commercial workflows such as proposal drafting or pricing review, demonstrating structured input handling for LLMs like Claude or Microsoft Copilot.
Design a Reusable Prompt and Skills Library Template
Develop a structured template library layout that non-technical team members can easily adopt, including clear guidelines on what each SKILL or custom instruction must not do.
Draft Commercial Enablement and Training Materials
Prepare a short onboarding guide or office-hour curriculum explaining how business development and sales teams can use AI tools safely and effectively without expert prompting.
Formulate Data Governance and Quality Control Guidelines
Draft a checklist of review steps and data boundaries to ensure client-confidential and pricing information is kept out of unapproved tools while maintaining human-in-the-loop validation.
Prepare Thoughtful Employer Questions
List specific questions regarding how commercial teams currently interact with Salesforce and SharePoint data extracts, how prompt adoption is measured, and what governance challenges the organization faces most frequently.

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