AI Engineer

Top Stack has been retained by a global elite professional services organization with US Headquarters based in Pennsylvania to assist them in hiring an AI Solutions Engineer to focus on Rapid Prototyping & Enterprise Innovation. Location: Remote / Hybrid Options AvailableRole Type: Full-Time, Direct Hire About the OpportunityAre you an inventive technologist who thrives at the intersection of Generative AI, rapid prototyping, and high-impact enterprise solutions?Our client, a prestigious, globally recognized professional services firm is seeking an AI Solutions Engineer to spearhead the design, experimentation, and deployment of secure, cutting-edge artificial intelligence capabilities. In this role, you will sit within a dedicated Rapid-Development Innovation Team, partnering directly with senior leadership, subject matter experts, and business operations to translate complex domain challenges into intelligent, production-ready applications.If you love moving quickly from concept to working prototype—leveraging LLMs, agentic workflows, RAG architectures, and custom integrations—this is your opportunity to define how an elite, global organization delivers services in the era of AI. Key Responsibilities· Discovery & Architecture: Facilitate technical discovery sessions with high-level stakeholders and business leaders to identify high-value opportunities for AI, automation, and intelligent workflow optimization.· Rapid Prototyping & Delivery: Rapidly build proof-of-concept (POC) and pilot solutions using leading AI platforms, LLM APIs, orchestration frameworks, low-code tools, and modern web application stacks.· AI & Agentic Development: Design and deploy secure generative AI assistants, retrieval-augmented generation (RAG) systems, vector search platforms, knowledge discovery engines, and autonomous agent workflows.· Systems Integration: Architect robust, scalable integrations connecting proprietary knowledge bases, document management repositories, cloud data platforms, and enterprise collaboration tools.· Responsible AI & Governance: Embed data privacy, model auditability, access controls, and ethical AI safeguards into all application designs to meet stringent enterprise security and compliance standards.· Lifecycle & Scale: Establish solution success metrics (adoption, latency, accuracy, ROI), refine solutions through user testing, and transition mature applications to enterprise platform teams for long-term scalability. What You Bring (Qualifications)Core Technical Experience· 5+ years of professional experience in software engineering, full-stack application development, systems integration, or data engineering.· 2+ years of hands-on experience designing and deploying Generative AI, LLM-enabled applications, RAG pipelines, or intelligent automation solutions.· Strong programming proficiency in modern development stacks such as JavaScript/TypeScript, C#/.NET Core, or SQL.· Deep familiarity with AI engineering frameworks and concepts: Azure OpenAI / OpenAI APIs, Model Context Protocol (MCP), LangChain/LlamaIndex (or similar), vector databases, embeddings, and prompt orchestration.· Solid background in enterprise cloud environments (Microsoft Azure or AWS), including secure API architectures, CI/CD pipelines, IAM, and microservices. Consultative & Professional Skills· Proven track record translating ambiguous business challenges into clean technical architectures and intuitive user experiences.· Excellent communication and stakeholder-facing skills, with the ability to articulate AI capabilities, trade-offs, and risk mitigations to both technical and non-technical leaders.· Experience operating within highly regulated, security-conscious environments (e.g., legal tech, management consulting, financial services, or enterprise professional services) is strongly preferred.· Strong commitment to Responsible AI, data privacy, human-in-the-loop workflows, and robust security standards. Education & Certifications· Bachelor's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field (or equivalent practical experience).· Relevant certifications in Azure/AWS Cloud Architecture, AI Engineering, or Agile Methodologies are a strong plus. Why Consider This Role?· High-Visibility Impact: Directly shape the AI roadmap of an industry-leading global organization.· Modern Stack & Autonomy: Work with state-of-the-art tools, frontier models, and rapid-iteration deployment pipelines.· Collaborative Innovation: Balance the agility and excitement of an internal tech startup with the resources, stability, and scale of a premier global firm.