How to Hire an AI-Skilled Proposal Professional in 2027

If you’re looking to hire a proposal manager, senior proposal writer, or consultant with AI skills to fill a position in 2027, what qualifications, skills, and experience should you be looking for in a candidate? After hearing the topics discussed and questions answered at the Association of Proposal Management Professionals’ (APMP) Winning AI: Essentials Conference, I concluded that if a company wants to hire an AI-skilled proposal professional, it should likely update its job description first.

Why the Role Is Changing

The hours proposal professionals once spent assembling drafts from library and SME content have dropped, but time spent reviewing, verifying, and directing AI has grown—this adds a new category of work that didn’t exist before. However, producing compliant, persuasive, audience-specific writing that wins contracts is a skill that AI cannot replace. Below, we provide a general position summary and a list of key responsibilities, qualifications, and specific AI skills to seek.

Position Overview

“The ideal candidate will govern the AI-enabled proposal organization, coaching it toward higher maturity and defining what work AI performs versus what requires human guidance and approval. Partnering with the Chief Security Officer, the candidate will safeguard proposal assets and maintain ongoing compliance with corporate and government security policies. The candidate will design and manage the content library that supports timely, secure, and accurate content retrieval. Beyond governance, the role will oversee the development of high-scoring proposals while eliminating risks such as hallucination, “AI Speak,” and bias, and will coach proposal team members on AI-enabled workflows and tools. Because the organization may adopt any number of AI-based tools, the role remains vendor-agnostic.”

Summary of Key Responsibilities

AI Maturity Diagnosis and Road Mapping

• Assess where a team sits with AI implementation maturity by taking the AI maturity assessment found in our free book, From Prompts to Proposals: An AI Maturity Model.
• Recommend a phased AI maturity improvement plan matched to the team’s budget, culture, and risk tolerance.
• Build business cases and workflows to support AI enablement, implement metrics to measure performance, and establish processes to report status. The business cases should define what AI does and what humans must do and approve.
• Ensure the team has a content library, defined workflow, and named ownership for AI-enabled processes.

Capture and Discovery Support

• Work with capture and business development so discovery calls, qualification data, and strength inputs are complete and well-structured before an AI tool ingests them.
• Ensure the knowledge base contains accurate data to make bid/no-bid decisions.

AI Drafting and Writing

• Create a company style guide and bid-specific style guides.
• Direct AI with specific instructions that spell out the role, context, task, guardrails, and output format for the prompt.
• Tailor AI-assisted drafts to the evaluation criteria. Reject and revise anything that reads so generic it could fit any bid.

Verification and Quality Governance

• Apply a structured verification method to every AI-generated output before it enters a live draft: validate the requirement, examine the evidence, review audience relevance, and inspect assumptions for compliance risk.
• Reject content that reads as polished but lacks substance, sourcing, or is non-compliant with proposal evaluation criteria.
• Run a compliance and gap review: gather complete source documents, analyze for missing or risky responses, and prove every finding against cited evidence.

Content and Knowledge Infrastructure

• Own or help design the approved content library. Enforce accuracy, version control, permissions, and traceability of every reusable claim back to its source.
• Feed lessons learned, win and loss debriefs, and newly approved content back into the library so it compounds as an asset.

AI Workflow Direction and Delegation

• Match the right level of AI involvement to each task by doing the work yourself, handing a single defined task to an AI agent, or approving a step that runs automatically inside a larger workflow. Keep approval audit records.
• Evaluate AI tools against a standard, vendor-agnostic data governance checklist before using them on live work. Cover whether data trains external models, who can see prompts and drafts, where data is stored, and whether an audit trail exists. Also flag unclear or ungoverned AI use.

Data Discipline and Confidentiality

• Apply the organization’s data-handling rules to every AI interaction. Consultants supporting more than one client must keep each client’s proposal content, prompts, and AI outputs strictly separate, regardless of deadline pressure.
• Confirm that any AI tool or workspace meets the applicable data, security, and confidentiality obligations before sensitive material is entered.

Coaching, Training and Team Leadership

• Run the review process and ask SMEs sharp, specific questions to fill gaps.
• Coach less experienced writers and coordinators on AI direction and verification skills as a standard part of development.
• Report AI-related quality and efficiency metrics using objective data and approved metrics.

Required Qualifications

• Demonstrated experience across the full proposal lifecycle, from pre-RFP capture support to submission.
• Proficiency with at least one AI writing or research tool, and enough exposure to others to compare them on governance rather than feature lists.
• Experience assessing or improving a proposal process, content library, or compliance workflow, for one’s own team or another organization, is a strong plus.
• APMP certification (CF APMP or higher) preferred, as well as AI training.

Required Skills and Competencies

• Structured prompting and context engineering: directs AI with a specific role, context, requirements, constraints, and output format requirements.
• Prompt iteration and chaining: breaks complex tasks into a sequence of smaller, directed prompts and refines output across rounds instead of accepting the first pass.
• Persistent workspace design: builds and maintains AI projects, custom GPTs, or knowledge bases that hold a pursuit’s approved content, style guide, and instructions so that context doesn’t reset with every prompt.
• Instruction and system prompt writing: writes reusable and custom instructions or style guides that steer AI output consistently across a team of contributors.
• Basic scripting or coding: uses Python, VBA, or other code to automate repetitive proposal tasks, such as compliance matrix generation, and connects one tool’s output to another. This is a desired, but not required, skill.
• Retrieval and grounding: organizes content so AI pulls from and cites the correct approved source material rather than its general knowledge.
• Multi-tool fluency: works across more than one AI platform and knows which tool, or which combination of tools, fits a given task.
• Performance metrics: measures AI performance, including first-draft survival rate, cycle time, incidents caught before submission, compliance findings caught in internal review, and content library/knowledge base health.

The Bottom Line

Hiring an AI-enabled proposal professional starts with rewriting the job description, not screening resumes against 2020 requirements. The strongest candidates verify AI output, build the infrastructure AI depends on, and still write using judgment that AI cannot replace. Lohfeld Consulting Group trains proposal teams on AI and provides skilled proposal consultants. Contact us to learn how we can help your team hire, train, or become an AI-enabled proposal professional on your next pursuit.

Continued Reading

Deepen your hiring and AI strategy with these Lohfeld resources:

• 2025 Capture and Proposal Hiring Trends: See how experience, requirements, and core competencies for capture managers, proposal managers, and proposal writers have shifted, and where AI proficiency now ranks among the skills hiring managers screen for.
• How to Overcome Four AI Risks in Proposal Writing: Learn the four risks proposal teams report most often when using AI, along with the mitigation steps every AI-enabled proposal professional should already have in place.
• How AI Is Changing Proposal Work Now: New survey data from 750 proposal professionals shows how trust in AI has shifted from drafting toward compliance checking, scoring, and strategic brainstorming across the full proposal lifecycle.

By Brenda Crist, Vice President at Lohfeld Consulting Group, MPA, CPP APMP Fellow

Lohfeld Consulting Group has proven results specializing in helping companies create winning captures and proposals. As the premier capture and proposal services consulting firm focused exclusively on government markets, we provide expert assistance to government contractors in Capture Planning and Strategy, Proposal Management and Writing, Capture and Proposal Process and Infrastructure, and Training. In the last 3 years, we’ve supported over 550 proposals winning more than $170B for our clients—including the Top 10 government contractors. Lohfeld Consulting Group is your “go-to” capture and proposal source! Start winning by contacting us at www.lohfeldconsulting.com and join us on LinkedIn, Facebook, and YouTube^(TM).