Techolution is the World's #1 AI Acceleration Partner specializing in accelerating AI adoption for enterprises. They are seeking an AI Solutions Engineer to drive their Agentspace initiatives by partnering with enterprise customers to understand their technical landscape and leading the creation of impactful AI/ML prototypes and solutions.
Responsibilities:
- Partner with prospective enterprise customers to understand their technical landscape, strategic priorities, and high-impact transformation opportunities
- Lead executive discovery sessions to identify transformative use cases for Google Agentspace / Gemini Enterprise
- Translate complex business challenges into prioritized GenAI initiatives, clearly defined scopes, and measurable ROI-driven outcomes
- Lead the creation of high-impact AI/ML prototypes and scalable GenAI Proof-of-Concepts (POCs) aligned with customer ecosystems
- Architect end-to-end solutions that integrate seamlessly with enterprise systems, data sources, security requirements, and Google Cloud services
- Collaborate with sales, solution architects, and engineering teams to design scalable architectures, estimate cloud consumption, and build reusable accelerators and solution assets
- Deliver compelling executive presentations, live demos, and interactive workshops that clearly articulate business value and implementation roadmaps
- Translate complex technical concepts into persuasive, business-focused value propositions to influence stakeholders and accelerate deal closure
- Partner with sales to build buyer confidence, validate technical feasibility, and drive opportunities toward successful closure
- Establish thought leadership through LinkedIn, webinars, and industry content to generate demand and strengthen Techolution’s GenAI positioning
- Contribute to whitepapers, case studies, and marketing assets that highlight Techolution’s accelerators, platforms, and Google-powered AI solutions
Requirements:
- Proven experience in GenAI with a strong focus on pre-sales, solution consulting, or strategic advisory roles
- Proven experience engaging with C-suite and senior enterprise stakeholders, leading discovery workshops, and influencing technology decisions
- Deep understanding of GenAI, LLMs, agentic workflows, enterprise search, knowledge systems, and AI-driven automation use cases
- Demonstrated experience designing scalable, enterprise-grade architectures and translating business requirements into solution blueprints
- Experience developing or leading Proof of Concepts (POCs), prototypes, and accelerators to demonstrate business value
- Strong business acumen with the ability to quantify ROI, build value hypotheses, and align AI initiatives with measurable outcomes
- Exceptional communication and storytelling skills, with the ability to simplify complex technical concepts for executive audiences
- Experience collaborating cross-functionally with sales, engineering, product, and marketing teams in a fast-paced environment
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; MBA or advanced degree is a plus
- Thought leadership presence through published content, speaking engagements, or active participation in professional platforms