AI Solutions Engineer

Techolution is the world's #1 AI Acceleration Partner specializing in turning AI into measurable business value. They are seeking an AI Solutions Engineer to design AI solutions, support customer engagements, and translate technical capabilities into real-world business outcomes.

Responsibilities:

• Design and support the development of multi-layer AI solution architectures based on customer requirements while understanding key architecture trade-offs related to scalability, performance, cost, and security
• Assist in building AI solutions leveraging Retrieval-Augmented Generation (RAG), appropriate model selection strategies, and the Google AI ecosystem
• Contribute to the design and implementation of agent-based AI systems using frameworks such as Agent Development Kit (ADK), including agent loops, tool calling, guardrails, and memory architecture
• Develop the ability to explain how agentic AI systems operate in real-world production environments, beyond high-level conceptual explanations
• Participate in customer discovery sessions, asking structured questions to understand business challenges before proposing solutions
• Translate business problems into structured AI solution approaches and support the scoping of Proofs of Concept (PoCs)
• Assist in defining success metrics and quantifying expected business impact or ROI for AI solutions
• Support commercial and solution discussions with stakeholders by clearly connecting technical capabilities to business value
• Assist in designing structured 90-day customer adoption and enablement plans, including stakeholder mapping, training programs, success metrics, and feedback loops to drive long-term usage
• Communicate complex technical concepts using clear explanations and practical analogies that business stakeholders can easily understand
• Demonstrate confidence in customer-facing interactions and handle questions or pushback constructively during solution discussions

Requirements:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field
• Recent graduate or early-career professional with strong interest in AI solution architecture and customer-facing technical roles
• Foundational understanding of Large Language Models, Retrieval-Augmented Generation, and modern AI application architectures
• Basic knowledge of agent-based AI systems, including concepts such as agent loops, tool integration, guardrails, and memory architecture
• Exposure to at least one AI ecosystem such as Google AI / Vertex AI, Microsoft Azure AI, or OpenAI platforms
• Programming experience in Python or similar languages commonly used in AI/ML development
• Strong analytical and problem-solving skills with the ability to break down business problems into structured technical approaches
• Excellent communication and presentation skills with the ability to explain technical ideas clearly to both technical and non-technical stakeholders
• Ability to interact confidently with customers, internal teams, and leadership, including supporting discussions with senior stakeholders such as Directors, VPs, and C-level executives
• Curiosity and motivation to continuously learn and stay updated with emerging AI technologies, platforms, and competitive ecosystems
• Familiarity with frameworks such as Agent Development Kit or similar agentic AI frameworks