Lead Data and AI Solution Engineer at Great Eastern Life Assurance Co Ltd

Cuenca, Azuay, Ecuador -

Full Time

Start Date

Immediate

Expiry Date

31 Aug, 26

Salary

0.0

Posted On

02 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GenAI, Agentic AI, Python, SQL, LangChain, LangGraph, TensorFlow, PyTorch, DevOps, Data Engineering, Machine Learning, Cloud Platforms, SDLC, Agile, Big Data, Automation

Industry

Insurance

Description

To lead and optimize GenAI & Agentic AI Operations by driving efficient deployments, automation, and governance across platforms. The role ensures seamless issue resolution, performance monitoring, cost optimization and stakeholder coordination to enable scalable, compliant, cost-effective and high-performing GenAI & Agentic AI services. Lead deployments for GenAI pipelines and Agentic AI pipelines in various Data & AI platforms Lead optimization and streamlining of GenAI & Agentic AI Ops processes and resource allocation Lead GenAI & Agentic AI Ops issue/incident tracking and reporting, coordinate concerted issue/incident resolution with related parties Develop automation scripts and methods to reduce manual effort in GenAI & Agentic AI deployments Develop data collection and analytics methods for mining and reporting of GenAI & Agentic AI Ops performance metrics and insights Explore and implement new GenAI & Agentic AI Ops capabilities and tools to increase automation coverage and deployment velocity Design and implement workflows and controls to strengthen governance and compliance for GenAI & Agentic AI Ops Drive Operations Excellence projects and initiatives to continually improve GenAI & Agentic AI Ops capabilities and key metrics Coordinate with GenAI & Agentic AI Ops stakeholders to ensure seamless operations and communications Bachelor's degree in AI, Data Science, Computer Science, Engineering, or a related field (Master’s degree preferred) 5+ years of experience in Data & AI Engineering or Operations, with a focus on deploying and managing data engineering and machine learning pipelines Hands-on exposure to operationalization of GenAI and Agentic AI implementation Broad expertise across Data & AI pillars, including AI/ML, Data Engineering, and Analytics Proficiency in programming languages such as Python, Java, Scala, or R, and strong command of SQL and Big Data querying tools Hands-on experience with GenAI/Agentic AI frameworks and libraries (e.g., LangChain, LangGraph, agentcore, MCP) Familiarity with machine learning/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn) Familiarity and relevant certifications on cloud platforms (AWS, GCP, or Azure) is a plus Strong understanding of SDLC, DevOps best practices, and Agile methodologies Proven ability to design and implement automation for deployment and monitoring of GenAI and Agentic AI workflows Experience in developing operational dashboards and performance analytics for Data & AI platforms Prior experience in financial services or insurance industry is highly advantageous Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders Strong problem-solving skills, a proactive mindset, and a continuous improvement orientation High level of integrity, accountability, and a collaborative team spirit Fast in learning new technology, open mindset and adaptable to changes, and takes initiative to drive operational excellence

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Responsibilities

Lead the deployment, optimization, and governance of GenAI and Agentic AI operations to ensure scalable and cost-effective services. Develop automation scripts and performance analytics to improve deployment velocity and operational excellence.