Senior AI Consultant

TL;DR

Senior AI Consultant (AI): Supporting a range of initiatives focused on AI-driven transformation with an accent on AI adoption with client business goals, tech stack, and operating model. Focus on translate complex AI capabilities into business impact, working closely with CxO-level stakeholders to prioritize initiatives and quantify ROI.

Location: Must be based in the US

Salary: $190,000 per year

Company

hirify.global AI Lab helps organizations turn AI from experimentation into transformation with practical, scalable solutions that drive real business outcomes.

What you will do

• Lead AI strategy engagements from opportunity discovery through roadmap development, aligning AI adoption with client business goals, tech stack, and operating model.
• Shape reusable solution architectures using modular components, copilots, and delivery accelerators from the Connect AI framework to ensure scalable, cross-client value.
• Translate complex AI capabilities into business impact, working closely with CxO-level stakeholders to prioritize initiatives and quantify ROI.
• Design and facilitate client workshops to align on goals, surface high-impact use cases, and assess AI maturity across technical, organizational, and data dimensions.
• Contribute to hirify.global’s evolving AI offerings, including vertical accelerators, governance models, and productized services with pricing and go-to-market relevance.

Requirements

• 3–5+ years in AI, digital transformation, or strategy consulting, ideally in client-facing roles within tech-driven or innovation-led engagements
• Proven ability to define enterprise AI strategies and roadmaps, including maturity assessments, capability planning, and use case prioritization
• Strong business and technical fluency, with the ability to bridge AI/ML concepts and modern architectures with measurable executive-level business value
• Experience designing reusable toolkits, delivery frameworks, or productized services — ideally contributing to IP-backed consulting models
• Familiarity with GenAI ecosystems (e.g., LLMs, RAG, prompt engineering, agents) and their application across industry verticals and business functions
• Hands-on experience with major cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML service offerings

Nice to have

• Exposure to AI monetization models, including usage-based pricing, enablement fees, or outcome-driven commercial constructs

Culture & Benefits

• As per the laws of your country. We do ask you to take a proper rest
• We help you to take out an insurance policy for you and your loved ones
• 10 days without a doctor's note, afterwards - as per the laws of your country
• According to the official calendar, regardless of the client’s schedule
• Two large corporate parties and many small get-togethers for colleagues
• Solving technical and everyday problems at work