Expert Engineer

As an AI Engineer, you will lead the development and application of technical solutions to address complex problems in various industries. You will guide a diverse engineering team through the entire engineering life cycle.

What You’ll Do

• Collaborate closely with and influence general consulting teams to identify software solutions to client business problems, and to appropriately scope, prioritize and execute those solutions
• A technical leader responsible for end-to-end technical solution delivery on client cases (from solution architecture to hands‑on development work)
• Lead key parts of the software development life cycle, including architecture design, writing clean code, conducting code reviews, writing documentation, unit/integration tests, identifying issues and resolutions
• Participate in expert client advisory activities that require deep expertise in software engineering with distributed systems, AI and application architecture
• Collaborate on (or lead) the development of re‑usable common frameworks, models and components that can be highly leveraged to address common software engineering problems across industries and business functions
• Work with the team and other senior leaders to create a great working environment that attracts other great engineers
• Coach engineering teams at our clients and partners to raise their capabilities and ensure that our work is successfully deployed to the highest standards
• Drive best demonstrated practices in software engineering, and share learnings with team members in AIS about theoretical and technical developments in software engineering
• Drive industry‑leading innovations that translate into great impact for our clients in case work
• Act as PD Advisor as needed
• Participate in recruiting and onboarding for other team members.
• Travel is required. This position requires regional travel away from your home office/primary working location. Travel frequency and destinations will vary based on project needs.

About You

• Master's degree in Computer Science, Engineering, or a related technical field
• 7 years minimum experience
• 4 years minimum at Lead or Staff level, or equivalent

Technical Skills And Knowledge

• Track record of leading and collaborating on strategic initiatives
• Experience in shipping production, applications and data analytics products
• Expert knowledge (5+ years) of Python
• Deep experience with additional server‑side frameworks and technologies such as FastAPI, Node.js, Flask
• Experience with Cloud platforms and services (AWS, Azure, GCP, etc.) and working in accordance with DevSecOps principles, and familiarity with industry deployment best practices using CI/CD tools, MLOps, LLMOps and infrastructure as code (Jenkins, Docker, Kubernetes, and Terraform)
• Strong computer science fundamentals in data structures, algorithms, automated testing, object‑oriented programming, performance complexity, and implications of computer architecture on software performance
• Experience with data architecture, database schema design, database scalability and SQL
• Experience with client‑side technologies such as React, Angular, Vue.js, HTML and CSS
• Understanding of data security and privacy regulations, key topics in cybersecurity, authentication and authorization mechanisms (including cloud IAM)
• Experience working according to agile principles

Interpersonal Skills

• Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines
• Curiosity, proactivity and critical thinking
• Ability to collaborate with people at all levels and with multi‑office/region teams
• Ability to work independently and juggle priorities to thrive in a fast paced and ambiguous environment, while also collaborating as part of a team in complex situations

Other Experience

• Relevant professional hands‑on experience in web development, programming languages, version control, software design pattern, infrastructure and deployment, integration and unit testing implementation
• Commercial acumen and understanding of business models