forward deployed engineer

As an Forward Deployed Engineer, you'll work alongside client teams to bridge the gap between cutting - edge AI capabilities and real business outcomes. You will design, build, and deploy production - ready AI and Generative AI solutions, helping organizations accelerate innovation, improve operations, and unlock measurable business value. 

You will:

• Work closely with clients teams to rapidly translate business challenges into production - ready AI solutions;

• Lead the architecture, development, and deployment of end-to-end AI and GenAI solutions, from data ingestion and enterprise integrations to production deployment and monitoring;

• Design and implement Retrieval - Augmented Generation (RAG), agentic AI, and intelligent automation solutions that solve complex business challenges;

• Evaluate, Adapt, and optimize LLM - based solutions to ensure quality, scalability, performance and cost efficiency;

• Integrate AI capabilities into enterprise platforms across cloud and on - premises environments, following secure and scalable engineering practices;

• Build evaluation frameworks and monitor AI solutions for quality, latency, cost, reliability, and business impact;

• Collaborate with business and technology teams to translate business requirements into scalable AI architectures and applications; 

• Contribute to Responsible AI, governance, and compliance initiatives, including GDPR and the EU AI Act;

• Mentor junior engineers, promote engineering best practices, and contribute to reusable AI assets and accelerators;

• Support clients workshops, solutions design sessions, and AI transformation initiatives from ideation through production.

#WinningRequirements

To qualify for the role you must have:

• Bachelor’s and/or Master's degree in Computer Science, Engineering, or a related STEM field; 

• 5+ years of experience in software engineering, AI/ML, or data engineering, with hands - on experience delivering AI or Generative AI solutions; 

• Strong proficiency in Python and experience building production - grade AI applications;

• Experience with LLM's, Retrieval - Augmented Generation (RAG), agentic AI, and modern AI engineering practices;

• Experience designing scalable APIs, data pipelines, and cloud - native applications on Azure, AWS or GCP;

• Familiarity with modern AI orchestration frameworks, enterprise integrations, and AI application development best practices;

• Understanding of MLOps, CI/CD, containerization, and production deployment principles;

• Knowledge of Responsible AI, model evaluation, and AI governance principles;

• Experience leading technical teams and delivering high - quality client solutions;

• Excellent communication, problem - solving, and stakeholder management skills, with the ability to bridge business and technology.