Senior Lead AI Engineer

The Senior Lead AI Engineer is a squad leader responsible for mentoring their squad members and ensuring conformance to GCS AI Engineering technical architecture, governance and processes . This role drives innovation across their Squad’s AI Use Cases, whilst ensuring alignment with enterprise strategy, and acts as an authority on AI systems and agentic platforms.

Duties & Accountabilities

• Lead design of complex, large-scale, multi-agent systems

• Influence engineering standards, governance models, and development frameworks

• Act as technical expert across AI Engineering initiatives

• Drive innovation through evaluation of emerging technologies and approaches

• Influence technical direction across multiple teams and portfolios

• Mentor AI engineers within their Squad

• Ensure alignment with responsible AI principles, security, and compliance

Scope & Impact

• Operates at portfolio level

• Shapes technical direction across multiple initiatives within their Squad

• Influences strategic decisions on AI architecture

• Impact is enterprise-level within GCS AI Engineering

• Acts as a key bridge between strategy and execution

Competencies & Skills

• Expertise in enterprise AI architecture and distributed systems

• Deep understanding of AI platforms, LLM ecosystems, and agentic systems

• Strong strategic thinking and systems mindset

• Proven ability to lead complex technical programmes

• Strong influence across engineering and product leadership

Essential

• Bachelor's degree in computer science, Software Engineering, Data Science, Mathematics, Statistics, or related technical field. Masters will be an added advantage

• Equivalent practical experience with software engineering and AI/ML

• For Senior Lead 8–10+ years in software engineering.

• Evidence of curiosity and continuous learning, with practical AI/ML or LLM application experience.

• Understanding of data handling and AI model behaviour

Value Additions:

• Prior exposure to enterprise SaaS platforms and large-scale AI/ML deployments.

• Familiarity with IFS industries and domain product offerings.

• Experience with executive-level customer engagement.

• Demonstrated hands-on experience with CI/CD pipelines, utilizing tools such as Bitbucket Pipelines, Azure DevOps, GitHub Actions, or Jenkins.

• Proficiency in Infrastructure-as-Code (IaC) tools, including Terraform or Bicep.

• Familiarity with test automation practices and tools as part of the CI/CD process.

• Comprehensive working knowledge of Microsoft Azure, encompassing compute, storage, networking, and cost optimization.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.