Forward Deployed​/ML Engineering Expert

Responsibilities

• Design, develop and operate production‑grade, cloud‑native enterprise applications integrating AI capabilities such as large language models, retrieval‑augmented generation, and agent‑based workflows.
• Embed applications directly into customer projects and fast‑moving cross‑functional teams to rapidly understand business processes, technical landscapes and operational challenges.
• Translate business and product requirements into robust application architectures, balancing speed, quality, security and long‑term maintainability.
• Rapidly prototype, iterate and product ionise solutions in customer environments, adapting reference architectures and reusable assets to real‑world enterprise constraints.
• Own application delivery end‑to‑end, from problem framing and prototyping through deployment, observability and production operations.
• Apply AI‑assisted engineering practices, evaluation frameworks and architectural guardrails to ensure compliant, trustworthy and high‑quality solutions.
• Ensure delivery milestones, quality standards and technical objectives are met, proactively managing risks and technical escalations within scope.
• Act as a key technical interface to customers and internal stakeholders, clearly communicating solution approaches, trade‑offs and progress.
• Contribute to engineering standards, best practices and reusable components to improve efficiency and consistency across solutions.

• Extensive hands‑on experience in software and application engineering for cloud‑native, enterprise and SaaS environments, with strong knowledge of architectural principles such as scalability, security and reliability.
• Proven ability to design and deliver AI‑native applications, utilizing large language models, RAG architectures, vector databases and agentic systems to innovate enterprise workflows.
• Strong proficiency in widely used AI/ML Python libraries and frameworks.
• Exposure to data pipelines and MLOps practices.
• Skilled in integrating Agentic AI into complex business processes, ensuring responsible and effective use of AI agents within enterprise operations.
• Solid architectural foundation across cloud platforms, distributed systems, scalability, security and reliability.
• Experience owning solutions across the full application lifecycle, from design and implementation to deployment and production operations.
• Ability to work effectively with cross‑functional teams and customer stakeholders, communicating complex technical topics clearly.
• Learning mindset, technical leadership and accountability in high‑impact, ambiguous environments.
• Proactive approach to leveraging AI in everyday workflows, ensuring high‑quality outputs through thoughtful context design and system integration.

Targeted annual combined range for this position is 198200–420000 USD. The actual amount offered to the successful candidate will be within that range, dependent upon key aspects of each case including education, skills, experience, scope of the role, and location.

Qualified applicants will receive consideration for employment without regard to age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, etc.), sexual orientation, gender identity or expression, protected veteran status or disability.