Job DescriptionPrincipal AI Solutions Consultant (Presales) - Insurance & RetirementRemote - United States25% Travel required for customer and industry engagements Bring AI, Sales Engineering, and Presales Expertise to Insurance and RetirementAbout the RoleMajesco is hiring a Principal AI Solutions Consultant (Presales) to lead customer- and prospect-facing AI enablement, Sales Engineering, and technical solution architecture across our insurance and retirement domains.
This is a high-impact, senior Presales and Pre-Sales role for an experienced Solutions Consultant or Sales Engineer who can connect emerging capabilities-including Generative AI and agentic AI-to practical business outcomes for insurers, retirement providers, and other financial-services organizations.
You will partner across Sales, Solution Consulting, Product Management, Engineering, and Professional Services to lead the end-to-end AI engagement lifecycle: from initial discovery workshops and executive briefings to live POC and sandbox demonstrations, ROI business case modeling, RFP and BAFO technical responses, and transition-to-delivery planning.
What You Will Do- Lead Discovery and Workshops: Facilitate executive briefings, technical discovery sessions, and structured AI workshops with carriers, TPAs, and retirement boards to identify high-impact use cases.
- Architect and Deliver Tailored Demos and POCs: Configure and deliver end-to-end demonstrations and Proofs of Concept (POCs/POVs) showcasing out-of-the-box and custom agentic workflows, including submission intake and clearance automation, quoting, claims triage, billing inquiry handling, and pension benefit calculations.
- Build Hands-On Prototypes: Develop rapid prototypes and workflow automations using tools such as Microsoft Power Automate, enterprise search and agent builders, and product APIs. Configure demo environments with appropriate guardrails, human-in-the-loop checkpoints, and sample domain data.
- Develop Value Propositions and ROI Models: Create outcome-oriented AI value summaries, time-savings calculators, hit-rate and conversion analyses, and cost-benefit business cases tailored to business and technical stakeholders.
- Drive AI Sales Engineering Strategy: Serve as the technical AI subject matter expert across strategic Presales pursuits, RFPs, RFIs, and Best and Final Offers (BAFOs), authoring technical response narratives, architecture inserts, product roadmap positioning, and AI Credit consumption proposals for key pursuits.
- Structure AI Commercial and Consumption Models: Guide account teams and prospective customers through AI packaging, credit-based commercial models, and consumption forecasting to support scalable adoption and expansion.
- Bridge Presales to Delivery: Partner with Product and Professional Services to create Joint Delivery Plans, reference implementation patterns, exception-handling frameworks, and customer due-out trackers for smooth post-sale handoffs.
- Scale AI Presales Enablement: Train and mentor Solutions Consultants, Sales Engineers, and Sales teams through playbooks, pre-recorded AI walkthroughs, sandbox best practices, and coaching sessions. Maintain reusable Presales collateral, pursuit trackers, use-case catalogs, technical FAQs, security and governance guidance, and demo scripts across P&C, L&AH, and Retirement.
- Influence Product Direction: Synthesize customer feedback, edge cases, integration requirements, and technical objections into actionable product enhancements and roadmap recommendations for Product and Engineering teams.
What You Bring- 7 plus years of experience in Sales Engineering, Presales, Pre-Sales, Solution Consulting, technical presales, or Solutions Architecture within Insurance (P&C, L&AH) and/or Retirement & Pension Administration, including public or private pension systems, group benefits, or policy, billing, and claims administration.
- Deep working knowledge of Generative AI, Large Language Models (LLMs), agentic orchestration, prompt design, retrieval-augmented generation (RAG), and workflow automation.
- Hands-on experience configuring sandbox environments, low-code or orchestration tools such as Power Automate, agent builders, APIs and webhooks, and preparing structured and unstructured domain data for realistic POCs.
- Proven experience leading technical Presales engagements and authoring AI narratives, architecture responses, and value-add content for major RFPs, RFIs, and BAFO presentations.
- Demonstrated ability to translate complex AI capabilities into quantifiable business metrics, including processing-time reduction, automated intake throughput, and expense-ratio improvements.
- Exceptional verbal and written communication, storytelling, facilitation, and presentation skills, with the ability to engage C-level executives, line-of-business underwriters and claims professionals, and enterprise architects.
- Ability to operate autonomously while driving alignment across Sales, Presales, Product Management, Professional Services, and Information Security teams.
- Bachelor's degree in Computer Science, Information Systems, Business Administration, or equivalent practical experience.
Bonus Points- Experience defining AI governance, compliance, data privacy, and human-in-the-loop oversight patterns for regulated financial services organizations.
- Familiarity with consumption-based or credit-based SaaS commercialization and pricing models.
- Experience with AI adoption programs, enterprise enablement, responsible AI, or AI governance.
- Experience creating reusable AI demos, Sales Engineering playbooks, reference architectures, technical specifications, or Presales enablement content.
- Experience working with SaaS platforms, core insurance systems, policy administration, claims, underwriting, customer experience, or retirement administration solutions.
- Experience influencing product strategy through customer insights and market feedback.
What Majesco Offers:Majesco is committed to equal pay and transparency. The annual base salary range for this position is $150,000 to $180,000. Please note that the salary range information provided is a general guideline and combines all of the distinct labor markets within the US. It is uncommon for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on a variety of factors. Majesco considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, candidate's work location, education/training, key skills, internal peer equity, external market data, as well as market and business considerations when making compensation decisions.
