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 Squads 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  

• Bachelors 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 810 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. 

Remote Work :

No

Employment Type :

Full-time