Forward Deployed Engineer - AI Architect Lead

Description

The company runs and improves mission-critical technology systems for large businesses, combining proven expertise with AI-driven insight to support faster decisions and innovation.

The team works in a supportive setting where well-being is a priority and people have room to grow.

Responsibilities

• Take complex AI projects from initial scoping to production, owning the result technically, operationally and for the people who depend on it.
• Work with a high degree of independence, drawing on deep skill in at least one technical area while connecting engineering detail to business value.
• Use AI-assisted development tools throughout the delivery lifecycle to learn faster, raise quality and show measurable results.
• Work with customers to understand their problems and shape solutions that fit, choosing the right outcome over the quickest one.
• Build and iterate custom AI solutions around customer needs using agentic AI frameworks.
• Work alongside the customer team to engineer and deploy production-ready solutions that get adopted and deliver measurable business results.
• Troubleshoot and improve system performance, scalability and reliability.
• Record deployment lessons, document best practices and share insights that improve the company's core platforms and frameworks.
• Keep pace with new technologies and changing customer needs through ongoing professional development.
• Help shape the company's AI platforms through feedback, code contributions and work with product teams.

Requirements

• Strong Python skills, or proficiency in another modern language such as C, Node.js or TypeScript.
• Solid understanding of the software delivery lifecycle, Git and GitHub version control, and data tools such as Pandas and Spark.
• Experience with cloud AI platforms such as AWS, Azure or Google AI, and with distributed computing architectures.
• Willingness to travel and work on customer premises as required.
• Degree in Computer Science, Informatics, Data Science, Engineering or a closely related field, or equivalent professional experience.
• Preferred: experience with AI/ML frameworks such as TensorFlow or PyTorch, which is a plus.
• Preferred: familiarity with open-source AI tools and libraries, including Hugging Face and relevant repositories.
• Preferred: deep expertise in one or two domains, with broad understanding of AI/ML, cloud and consulting.
• Preferred: experience designing, building or integrating multi-agent systems and orchestration frameworks such as LangGraph, Semantic Kernel, Agent Framework, AutoGen or CrewAI, including agent protocols and coordination mechanisms.
• Preferred: practical experience deploying retrieval-augmented generation (RAG) architectures and combining structured and unstructured knowledge sources.
• Preferred: knowledge of system-level optimization and security practices for scalable AI systems.
• Preferred: ability to turn business requirements into technical solutions and explain technical value to varied stakeholders, including executives.

Conditions

Hybrid-friendly work model.

The company welcomes people of all cultures and backgrounds and encourages applications even if you do not meet every requirement.

Benefits

• Be Well programs covering financial, mental, physical and social health.
• Career planning tools, personal development goals aligned to your ambitions, and regular feedback.
• Certification paths with Microsoft, Google and Amazon, plus coaching and hands-on learning.
• Impactful project work from your first day that builds your skills.