About the Role
The Engineering Manager Automation will lead a team of automation engineers that are responsible for designing, developing, and deploying intelligent AI agents to deliver automation of complex workflows and automated incident response for Bank Command Centre.
Responsibilities
- Lead a team of automation engineers.
- Design, develop, and deploy intelligent AI agents.
- Deliver automation of complex workflows.
- Implement automated incident response solutions.
- Engage with stakeholders to translate business needs into technical solutions.
- Mentor automation engineers and foster a culture of innovation and accountability.
Qualifications
- Bachelor's or Master's in Computer Science, Artificial Intelligence/Machine Learning, or related field.
- 15+ years of experience in automation engineering, AI systems integration, or software development.
- MUST have a minimum of 4+ years of experience in Artificial Intelligence/ML engineering, with at least 1 year in Agentic or LLM-based systems.
- 2+ years of leadership experience managing engineering teams or AI deployment projects.
Required Skills
- Proven track record of delivering production-grade AI or automation solutions.
- Proficiency in Python and experience with frameworks like LangChain, AutoGen, CrewAPI, LangGraph, OpenAI API.
- Deep understanding of agentic AI Frameworks, vector databases, prompt engineering, RAG pipelines, and multi-agent orchestration.
- Experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes).
- Strong grasp of software architecture, CI/CD pipelines, and observability tools.
- Good understanding of Databricks and Servicenow platforms.
- Excellent verbal and written communication skills.
Preferred Skills
- Ability to lead cross-functional teams in designing and deploying agentic AI solutions.
- Experience in stakeholder engagement.
