AI Solutions Tech Lead

**About the Role** At Symplifyr, we're expanding into applied AI for business processes, building solutions that combine automation, integrations and AI models. We're looking for an AI Solutions Tech Lead to technically lead our emerging AI implementation practice, acting as the internal technical reference and as a senior client-facing voice. This is a cross-functional role. You'll be involved in discovery and solution design with clients, guide the team through execution, define stack and best practices, and actively contribute to new business through your technical expertise. **What You'll Do** * Lead technical discovery with clients: understand the business problem, map current processes, identify AI/automation opportunities, and design architectures that are both realistic and ambitious * Participate in project planning and estimation, ensuring technical feasibility and alignment with client expectations * Technically lead the implementation team, mentoring juniors and seniors on solution design, code reviews, architecture decisions, and tooling adoption * Continuously bring new ideas: models, AI frameworks, automation tools, emerging patterns, and help the team grow technically * Manage multiple projects in parallel, acting as the senior technical point of contact with clients * Present solutions to both technical and non-technical stakeholders * Identify upsell and expansion opportunities within existing accounts, in collaboration with the commercial team **Who We're Looking For** We're open to Senior profiles (5+ years) or Lead/Principal (8+ years), as long as the experience demonstrates technical maturity and leadership capability. **Essential Technical Skills** * Cloud services and cloud-native architecture design * Hands-on experience with AI solutions in production, with the judgment to choose the right approach for each problem (not everything needs an LLM) * Familiarity with the AI platform and API ecosystem (Anthropic, OpenAI, Azure AI, Hugging Face and equivalents), including model selection criteria around cost, latency, and data privacy * Strong integration and automation skills: REST APIs, webhooks, and tools like n8n, Make, Logic Apps — with the ability to decide between build vs. integrate * Full-stack development experience with a modern stack * Familiarity with DevOps practices, CI/CD, and infrastructure as code **Leadership & Client Skills** * Proven experience leading technical teams as Tech Lead, Engineering Manager, or equivalent * Demonstrated ability to manage multiple projects and clients simultaneously, across varying levels of technical maturity * Comfortable in business stakeholder conversations, able to translate problems into solutions and solutions into value * Consultative mindset: identify opportunities, propose approaches, and challenge requirements when it makes sense **Nice to Have** * Experience in consulting or client-facing project environments * Knowledge of MLOps, production model monitoring, or systematic evaluation of AI output quality **What We Offer** * A leadership position in an emerging practice, with real space to shape how we work with AI * Direct client access and influence over strategic decisions in the AI domain * A modern technical stack with freedom to propose and adopt new tools * Collaborative, informal work environment with genuine autonomy * Hybrid work model * Projects with direct impact at large enterprises and leading institutions * Real opportunities for professional growth and continuous learning * Access to training and an active culture of knowledge sharing across teams * Health insurance included * Performance-based incentive plan tied to individual contribution **Ready to Apply?** If this challenge resonates with you and you want to work in an environment where innovation, collaboration, and autonomy are taken seriously — we'd love to meet you. After receiving your application, we review every profile carefully. Selected candidates will be contacted for an initial informal conversation (remote). From there, the process includes a technical interview where we want to understand your experience and how you can make a difference for us and our clients, followed by a final interview.