Manager in Oracle data and analytics at PwC analysing complex data systems and encouraging innovation. Leading teams and mentoring junior staff while driving project success.
About the role
- Associate Principal AI Engineer evolving AI platform capabilities and supporting AI adoption at Aegon. Building production-ready AI solutions while collaborating with diverse teams on business transformation initiatives.
Responsibilities
- Contribute enhancements to Aegon’s AWS Launchpad platform and related operational services.
- Provide support to Launchpad Platform onboarding of internal development teams.
- Apply strong Python skills to build production ready Gen AI and Agentic AI solutions (AWS AgentCore).
- Translate complex problems into well-defined project requirements.
- Under supervision, lead AI development teams in the delivery of business transformation initiatives using software engineering best practices, and adhering to Aegon’s Software Delivery Lifecycle.
- Apply strong AWS AI knowledge to select the right components and AI services to solve business problems.
- Contribute to the evolution of our AI governance and operational processes.
- Proactively share compelling ideas and work to the rest of the team and organisation.
- Champion a culture of innovation, continuous learning and operational excellence.
- Work closely with broader software engineering teams and stakeholders (internal and external) to innovate, design and delivery highly effective solutions.
Requirements
- Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.
- 10+ years related experience with at least 3 years of demonstrable experience in end-to-end AI solution design.
- Professional certifications in AI and / or cloud technologies.
- Strong proficiency in Python for production ready delivery.
- Deep understanding of the Gen AI landscape and agentic frameworks (inc. Strands SDK, LangChain, A2A, and MCP)
- Experience working in the full model lifecycle – planning, training, deploying and maintaining AI systems.
- Good knowledge of AWS AI Infrastructure and AI services.
- Proficiency in containerization and orchestration tools such as Kubernetes and Docker.
- Experience in working with a diverse set of stakeholders to deliver AI solutions.
Benefits
- Competitive Pay
- Bonus for Eligible Employees
- Benefits Package
- Pension Plan
- 401k Match
- Employee Stock Purchase Plan
- Tuition Reimbursement
- Disability Insurance
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Employee Discounts
- Career Training & Development Opportunities
- Health and Work/Life Balance Benefits
- Paid Time Off starting at 160 hours annually for employees in their first year of service.
- Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).
- Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars
- Parental Leave – fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.
- Adoption Assistance
- Employee Assistance Program
- Back-Up Care Program
- PTO for Volunteer Hours
- Employee Matching Gifts Program
- Employee Resource Groups
- Inclusion and Diversity Programs
- Employee Recognition Program
- Referral Bonus Programs
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