Software Engineering Manager - AI

Job Description

Role Overview:As the Manager - Software Engineering (AI) at Morningstar, your primary responsibility will be to lead an offshore engineering team in designing, building, and operating AI-enabled software solutions. You will collaborate closely with product, architecture, and business stakeholders to ensure end-to-end delivery from requirements to production. Your role will involve people leadership and establishing robust engineering practices for AI and platform services to support global customers.Key Responsibilities:- Own the end-to-end execution of AI and software engineering projects from offshore, including planning, estimation, staffing, execution, and risk management.- Translate product and business requirements from onshore stakeholders into clear technical roadmaps, sprint plans, and deliverables for the offshore team.- Ensure on-time, on-budget, and high-quality delivery across workstreams.- Establish and track KPIs (velocity, quality, uptime, cost) and provide regular status reporting to onshore leadership.- Lead the design and implementation of AI-enabled applications, Agents, services, and platforms.- Guide the team on architecture and technology choices, including microservices, distributed systems, model serving, and cloud-native deployment patterns.- Partner with data science/ML teams for model integration, inference optimization, and scalable deployment across environments.- Manage, mentor, and grow a team of software engineers, driving technical excellence, accountability, and ownership.- Foster a culture of transparency, continuous improvement, learning, and psychological safety across the offshore team.- Act as the primary offshore point of contact for onshore engineering managers, product owners, and business stakeholders.- Implement and enforce standards for architecture, coding, documentation, security, and compliance as defined by global technology leadership.- Identify and manage delivery risks early and drive mitigation plans with stakeholders.- Ensure production readiness, operational stability, and effective incident response for systems owned by the offshore team.Qualifications Required:- Bachelors or Masters degree in Computer Science, Engineering, or related field.- 8-12 years of total software engineering experience, including 3 years leading teams or managing projects.- Strong hands-on background in building scalable web or platform applications using modern back-end languages and frameworks.- Demonstrated experience delivering AI/ML products into production systems.- Proven track record of managing distributed/remote or offshore teams and executing projects in a global delivery model.- Deep understanding of modern engineering practices.- Excellent communication skills, with the ability to engage both technical and non-technical stakeholders across regions.Morningstar is an equal opportunity employer that values collaboration and offers a hybrid work environment for enhanced flexibility. Joining Morningstar means collaborating in-person each week and benefiting from a range of other benefits to support your needs. Role Overview:As the Manager - Software Engineering (AI) at Morningstar, your primary responsibility will be to lead an offshore engineering team in designing, building, and operating AI-enabled software solutions. You will collaborate closely with product, architecture, and business stakeholders to ensure end-to-end delivery from requirements to production. Your role will involve people leadership and establishing robust engineering practices for AI and platform services to support global customers.Key Responsibilities:- Own the end-to-end execution of AI and software engineering projects from offshore, including planning, estimation, staffing, execution, and risk management.- Translate product and business requirements from onshore stakeholders into clear technical roadmaps, sprint plans, and deliverables for the offshore team.- Ensure on-time, on-budget, and high-quality delivery across workstreams.- Establish and track KPIs (velocity, quality, uptime, cost) and provide regular status reporting to onshore leadership.- Lead the design and implementation of AI-enabled applications, Agents, services, and platforms.- Guide the team on architecture and technology choices, including microservices, distributed systems, model serving, and cloud-native deployment patterns.- Partner with data science/ML teams for model integration, inference optimization, and scalable deployment across environments.- Manage, mentor, and grow a team of software engineers, driving technical excellence, accountability, and ownership.- Foster a culture of transparency, continuous improvement, learning, and psychological safety across the offshore team.- Act as the primary offshore point of contact for onshore engineering managers, product owners, and business stakeholders.- Implement and enforce standards for architecture, coding, documentation, s

Keyskills :
Software EngineeringProject ManagementJavaPythonMicroservicesTest AutomationPerformance OptimizationAPIsAuthenticationAIenabled applicationsML servicesCloud platformsNodejsCICDObservabilityLLMsAI AutomationDeveloper Productivity Too