Senior Lead AI Engineer.

Job Description 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 Qualifications 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. Additional Information 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.