You will sit at the intersection of product thinking, AI architecture, and client delivery, driving bespoke AI-first solutions across complex enterprise engagements in healthcare, construction, finance, and consumer goods.
You will own the full lifecycle of client solutions - from business requirements and scope definition through to working prototypes and production-ready specifications. You'll shape how AI is embedded into our clients' most critical workflows, and you'll do it with a mindset that treats AI as the first tool, not the last resort.
You'll join the AI Business Transformation practice at AnswerRocket - a team focused on delivering high-quality, bespoke AI analytics solutions for enterprise clients. The practice operates across verticals with a staffing model that flexes by engagement complexity: you will work alongside lead consultants and report directly to the Practice Lead.
WHAT YOU'LL DOProduct & Solution Leadership- Own end-to-end product delivery for bespoke AI engagements - from requirements definition through go-live and iteration
- Drive scope discovery and gap analysis, surfacing what the client doesn't yet know they need
- Translate complex business problems into structured, testable AI solution designs
- Define and maintain solution roadmaps, managing prioritization across competing stakeholder needs
- Build and maintain business requirements artifacts that are traceable, precise, and engineering-ready
AI-First Delivery- Design multi-step agentic workflows - defining how agents plan, what they act on, when they escalate, and when they stop
- Prototype and validate AI solutions directly - you find a way to make things tangible, with or without traditional engineering support
- Build human-in-the-loop into the architecture from day one - knowing which decisions belong to AI, which belong to humans, and how handoffs should work in practice
- Evaluate agent outputs rigorously - you define what correct looks like before anything runs, not after
Client Engagement- Lead discovery sessions, stakeholder workshops, and solution alignment meetings with VP- and C-suite client contacts
- Manage multiple concurrent engagements at different complexity levels simultaneously
- Serve as a credible strategic voice on AI capability, limitation, and risk - especially where clients are AI-naive
- Build client trust through transparency: rigorous answer quality thinking, clear provenance, and honest uncertainty quantification
Practice Contribution- Mentor delivery-focused consultants and contribute to team methodology and toolkits
- Help shape how the practice approaches vertical expansion, staffing models, and engagement frameworks
- Identify and surface new solution patterns that can be replicated across the portfolio
WHAT YOU BRINGMust-Have- 8+ years in a product, consulting, or solution design role - with clear ownership of complex, large-scale engagements
- Deep, genuine AI-first orientation: you default to AI approaches, you've built things with LLMs, and you can articulate why an AI solution is or isn't the right call
- Ability to build and validate working solutions - whether that's through code, AI-assisted development, or rapid prototyping tools
- Experience owning product requirements end-to-end: use cases, acceptance criteria, capability maps, and handoff to engineering
- Comfort with data and databases - you don't need to be a DBA, but you should understand how data is structured and how that shapes what AI can and can't do with it
- Track record of managing large, complex projects with multiple stakeholders, workstreams, and ambiguous scope
- Strong written and verbal communication - you can run a client workshop and write a PRD with equal confidence
Strong Preference- Domain experience in one or more of: healthcare, construction, financial services, or supply chain / CPG
- Hands-on experience with agentic AI systems, multi-step reasoning pipelines, or LLM evaluation frameworks
- Experience in a consulting or professional services environment - you understand the client-delivery dynamic
Nice to Have- Exposure to brand analytics, consumer insights, or market research data environments
- Experience with BI or analytics platforms (Tableau, Power BI, or similar) as a product or consulting context
- Familiarity with vector databases, embedding pipelines, or retrieval-augmented generation in production
WHO YOU ARE- You think in systems but communicate in plain language
- You treat scope gaps as signal, not problems - and you know how to surface them without alarming clients
- You are AI-native: you use AI in your daily workflow, you think about what AI can and can't do, and you have strong opinions about quality
- You can hold a room with senior client stakeholders and then go write clean requirements the same afternoon
- You care about whether the answer is right, not just whether it shipped
- You have enough technical depth to know when the engineering team is cutting corners and enough business depth to know why that matters
