Forward Deployed Engineer, AI/ML

Solita is helping organizations move from experimenting with AI and machine learning to using them as a meaningful part of their business and operations. Our customers' opportunities span traditional machine learning, optimization, computer vision, generative AI and intelligent agents. Turning these opportunities into solutions that work reliably in production requires much more than choosing the right technology. In this role, you’ll work closely with our customers’ business and technology experts to understand their challenges, identify where AI or machine learning can create meaningful value, and determine what should actually be built. You then take promising use cases from exploration and prototyping into production, where they become part of real business processes and everyday work. AI coding agents are naturally used in your daily work. You’ll give them clear specifications, provide the right context, and ensure the quality and reliability of what is produced. While AI helps accelerate development, you remain responsible for delivering solutions that work in production and create real business value. Responsibilities Collaborate with customer domain experts to identify high-value AI/ML opportunities, define measurable success criteria, and validate where AI can create meaningful business impact. Turn ambiguous business challenges into concrete solution approaches, rapidly testing ideas and taking the most promising use cases from exploration into production. Design, build, and integrate production-grade AI/ML solutions using approaches such as machine learning, optimization, computer vision, LLMs, or intelligent agents, depending on the problem. Establish the engineering practices required for reliable AI/ML in production, including evaluation, testing, monitoring, CI/CD, and code review. Deploy, operate, and continuously improve AI/ML solutions, investigating unexpected behaviour, performance issues, or poor results and addressing their root causes. Make pragmatic technical decisions around architecture, scalability, security, reliability, cost, and responsible AI, while effectively communicating trade-offs to both business and technical stakeholders. Work together with account leadership and sales to identify opportunities to expand initial engagements, bringing in the right Solita experts across AI, data, software, design and cloud as customer needs evolve What helps you succeed in this role Hands-on experience designing, building, deploying, and operating AI/ML solutions in production environments. Strong understanding of modern AI/ML technologies and the ability to choose the most appropriate approach for a given problem. Experience in one or more areas such as machine learning, optimization, computer vision, LLM applications, or agentic systems. Experience evaluating AI/ML systems and applying engineering practices such as testing, monitoring, CI/CD, MLOps/LLMOps, and guardrails. Strong Python skills and solid software engineering f