At a glanceSummarised by Seekless from the posting.
Must have13
Bachelor's degree in computer science or related field
15+ years of engineering experience including people management
Strong Experience delivering AI/ML and Generative AI solutions is a MUST requirement
Strong hands-on experience with Java, Python, and Spring Boot-based application development
Experience building and deploying applications on AWS, including EKS/Kubernetes
Experience with AWS SageMaker and managing ML platforms and model lifecycle
Strong understanding of modern architecture patterns, APIs, and UI-driven applications
Experience leading teams in structured or hybrid delivery models is a MUST requirement
Strong stakeholder management and ability to operate in a matrixed organization
Manage and mentor resources to meet the chapter KPIs and upskilling of the associates
Mentor software engineers on the team and ensure high stability and avoid SME gaps
Help and drive discussion to build technology roadmap for chapter
Work with product management on refining and implementation of the roadmap
Skills
Java
Python
Spring Boot
AWS
EKS
Kubernetes
AWS SageMaker
UI
Job Description:
Job Title – Director, Engineering Manager – AI/ML
The Purpose of Your Role
We are seeking an Engineering Manager to lead delivery of AI/ML-driven applications and platforms, including Java/Python-based systems with user interfaces and cloud-native deployments. This role is accountable for end-to-end delivery, spanning application development, machine learning platforms, and Generative AI solutions, with a strong emphasis on execution discipline, scalability, and reliability.
The Expertise We’re Looking For
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Bachelor’s degree in computer science or related field
•
15+ years of engineering experience including people management
•
Strong Experience delivering AI/ML and Generative AI solutions is a MUST requirement**.**
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Driving AI/ML initiatives by aligning with engineering goals
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Working with Data Scientists and AI/ML Architects in driving solutions
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Strong hands-on experience with Java, Python, and Spring Boot-based application development
•
Experience building and deploying applications on AWS, including EKS/Kubernetes
•
Experience with AWS SageMaker and managing ML platforms and model lifecycle
•
Strong understanding of modern architecture patterns, APIs, and UI-driven applications
•
Experience leading teams in structured or hybrid delivery models is a MUST requirement.
•
Strong stakeholder management and ability to operate in a matrixed organization
The Skills that are Key to this role
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Manage and mentor resources to meet the chapter KPIs and upskilling of the associates
•
Mentor software engineers on the team and ensure high stability and avoid SME gaps.
•
Help and drive discussion to build technology roadmap for chapter.
•
Work with product management on refining and implementation of the roadmap.
•
Experience leading teams in structured or hybrid delivery models
•
Strong stakeholder management and ability to operate in a matrixed organization
The Value You Deliver
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Lead teams delivering AI/ML and Generative AI solutions integrated with enterprise applications
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Drive end-to-end ownership of design, build, deployment, and production support
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Ensure high-quality, scalable, and secure solutions aligned to business goals
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Partner with cross-functional teams to define roadmaps and execute effectively
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Establish and enforce strong engineering and operational standards
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Own technology lifecycle management, including remediation and ensuring ongoing platform stability
How Your Work Impacts the Organization
WS (Workplace Solutions) helps our customers save and invest through workplace retirement savings plans, build lifetime relationships with customers, and provide employers with cost-effective, integrated employee benefit solutions. WS serves customers online, over the phone, and through a nationwide network of investor centers. WS is also committed to helping drive employee retirement readiness by delivering leading-edge financial solutions to employers, including recordkeeping, cash management products and services and personal advisory services (PAS).
The Team
Fidelity’s Workplace Investing (WI) Technology team designs, develops, implements, and supports WI’s suite of technology products on behalf of our customers. We are passionate about delivering innovative solutions that exceed our customer’s needs. We embrace diversity of thought and experience. Our team thrives with an unyielding dedication to innovation which promotes a culture of continuous improvement and significant product advancement. This is a fast-paced technology group that adopts modern technologies to build powerful tools and deliver an outstanding end user experience